Category Archives: Management

Reducing Employee Churn During the Great Resignation

Reducing Employee Churn During the Great Resignation

For those of you struggling with your staffing levels or with finding talent during these exceedingly challenging times, I have exciting news to share!

My latest commissioned webinar is now available ON DEMAND:

Stop the Madness! How to reduce the risk of employee churn amid the Great Resignation

Synopsis from NICE CXone page:

It’s being called The Great Resignation: Millions of employees leaving their jobs every month! While the trend affects every industry, nowhere else is it felt more acutely than in contact centers. How do you keep agent churn from derailing your contact center?

Smart organizations know that it’s about more than salaries. Agents want work-life balance, and on the job, great tools and support to help them do their jobs well.

In this On-Demand webinar I explore what’s driving the Great Resignation and how to keep your agents engaged and satisfied.

Learn important strategies for keeping your agents from walking out the door:

  1. How giving agents purpose creates job satisfaction.
  2. How to create flexibility for agents to improve work-life balance.
  3. How to keep hybrid workforces connected and engaged.

Click here to access the webinar

I hope you enjoy it!

Please post any questions below in the comments.

There will be an accompanying white paper available soon.


NOTE: Commissioned thought leadership (articles, white papers, webinars, etc.) to accelerate a company’s sales and marketing efforts (including lead generation) is one of the services I provide in addition to the speeches and workshops I deliver as an innovation speaker.


Image credit: Pixabay

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OKRs vs. KPIs: Choosing the Right Framework for Innovation

OKRs vs. KPIs: Choosing the Right Framework for Innovation

GUEST POST from Art Inteligencia

In the world of innovation, measuring success is as crucial as the innovation process itself (a powerful one being The Eight I’s of Infinite Innovation from Braden Kelley). Among the most popular tools for tracking progress are OKRs (Objectives and Key Results) and KPIs (Key Performance Indicators). Though they often appear interchangeable, each serves distinct purposes and can significantly impact the direction and success of innovation initiatives. So, how do we choose the right framework for fostering innovation?

Understanding OKRs and KPIs

OKRs are a framework that sets ambitious objectives linked with quantifiable key results. Invented by Intel and popularized by Google, OKRs encourage stretching beyond comfort zones to achieve groundbreaking advances.

“OKRs are not about spreadsheets. They are about focused and inspired work.” – John Doerr

KPIs, on the other hand, are metrics used to evaluate the performance of organizations, employees, or particular activities. They are generally well-defined and are used to track targets and processes that are stable and need consistency.

Case Study 1: Google – The Triumph of OKRs

Google’s remarkable growth and innovation can, in part, be attributed to its successful use of OKRs. Larry Page and Sergey Brin adopted OKRs from Intel, aiming to balance daunting aspirations with precise actions.

In a pivotal instance, Google aimed to “organize the world’s information and make it universally accessible and useful.” The associated key results included increasing the number of pages indexed and enhancing user satisfaction through a streamlined user interface. This clear alignment of bold objectives and tangible results spurred innovation without stifling creativity, showcasing the transformative power of OKRs.

Case Study 2: A Traditional Manufacturer – The Stability of KPIs

Consider a traditional manufacturing company focused on operational efficiency and quality control. Here, KPIs are indispensable for maintaining precision and reliability in production.

The company aimed to reduce waste and improve product quality. By utilizing KPIs such as scrap rate, production downtime, and customer defect rate, they implemented incremental improvements that led to significant cost savings and enhanced quality.

This structure allowed them to consistently meet customer expectations and stay competitive, showcasing how KPIs serve businesses prioritizing stability and incremental innovation.

When to Use OKRs

OKRs shine in environments where transformative change is sought. Think of startups, tech firms, or any company looking to disrupt the status quo. OKRs encourage risk-taking, freeing teams to explore uncharted territories. They are ideal for organizations that embrace experimentation and are willing to pivot based on insights and discoveries.

When to Use KPIs

KPIs are optimal for situations that require reliability, consistency, and precise tracking. They fit well in established processes where steady improvement and performance monitoring are crucial. Industries like manufacturing, logistics, or healthcare, where the margin for error is minimal, benefit greatly from KPIs.

Integrating OKRs and KPIs for Holistic Innovation

Rather than choosing between OKRs and KPIs, consider blending them. Organizations can leverage the ambitious spirit of OKRs while grounding them with the stable, measurable metrics of KPIs.

For instance, a tech company could set ambitious OKRs to innovate a new product line with radical features, using KPIs to monitor development timelines, budget adherence, and defect rates. Such integration ensures a balance between aspiration and accountability, driving sustainable innovation.

Conclusion

The choice between OKRs and KPIs ultimately hinges on your organizational objectives, industry demands, and desired outcomes. Understanding their intrinsic differences and strategic applications is paramount in optimizing innovation effectiveness.

By carefully considering your framework choice and exploring the potential of combining these tools, businesses can foster an innovative culture that is both adventurous and accountable, paving the way for sustained success.

Innovation thrives on clarity, ambition, and measurable outcomes. Whether through OKRs, KPIs, or a tailor-made blend, harnessing the right framework is key to nurturing the next breakthrough.

Extra Extra: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Pexels

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Five Principles for Innovation Deal Flow Managers

Five Principles for Innovation Deal Flow Managers

BMNT Editor’s note: This is the fourth in a series explaining the common beginner-steps needed to get an innovation practice off the ground or improve an existing innovation practice. Find our first post, explaining the goals of implementing a structure to guide innovation and training workers how to use it, here. The second installment, on how to create an innovation thesis to guide your team’s activities, is here. The third piece, on how to assemble the right team for the job, is here.

GUEST POST from Brian Miller

Steve Blank, the godfather of Silicon Valley, says that “for innovation to contribute to a company or government agency, it needs to be designed as a process from start to deployment.” At the start, you need a steady influx of new project ideas to replace and restore eroding capabilities. Investors refer to this influx as “deal flow,” and it is considered the single most important factor in their success. Here are the key principles and practices to generate the deal flow your innovation practice needs to succeed.

1. Open your pipeline wider than you feel comfortable

It’s cliche to say this, but get comfortable with the uncomfortable. It may take hundreds of initial problems to find a few dozen pilot projects, and only a handful of successful programs may result from those pilots. A rigorous process, like the Innovation Pipeline®, ensures you manage the risk and uncertainty of innovation along with your finite resources. When venture capital investors raise a fund, they initially invest only about 40 percent to 60 percent of it. Cash reserves, known as “dry powder,” are held back so investors can quickly invest more in the early bets that pan out. Translating this to the government, resources are first invested in validating a project (explore). Only after validation are significant investments made in deploying a new capability (exploit).

The Innovation Pipeline

The Innovation Pipeline

To get started, you must first understand what you’re doing and where problems will come from. Are you gathering problems from your organization’s workforce (if you’re trying to improve your structure, processes, and culture), your customer base (if you’re trying to improve their job), or both?

If the former, you could use or create an internal portal, akin to a digital comment box with more rigor. If the latter, you could use a tool like SurveyMonkey or something more sophisticated. If that’s not feasible right away, just do it manually. An innovation pipeline needs a lot of inputs at the beginning in order to produce disruptive solutions at the end. It’s the fuel for innovation, so walk the halls of your organization, cold-call your customers, or deputize people already embedded in key places to be your eyes and ears, spotting and assessing opportunity by collecting problems for you.

2. Scope and prioritize problems at the atomic level to find the right project ideas

You will need to see a lot of problems, and rigorously assess them, to find the needs that will lead to transformative change. You cannot be too selective up front, so prepare for the volume by using a simple framework to deconstruct problems into their atomic units.

A Key Beneficiary has a basic need in order to achieve a desired outcome. This problem-centric approach will help you scope and prioritize all the in-bound opportunities so you can easily focus on certain beneficiaries or certain desired outcomes.

Pro-tip: If your pipeline is brand-new, focus on a beneficiary group that you can co-opt, like insurgents, to build momentum in your organization. Or focus on the desired outcomes that align to your organization’s stated and published strategic priorities. If you’re still stuck, revisit your innovation thesis (or create one if you haven’t already) to help guide your problem sourcing and triage in-bound opportunities.

3. Respond to everyone

Do not leave hundreds or thousands of people hanging if you collect their problems. If your problem sourcing is yet another black box in a large organization, apathy will quickly set in and your projects will dry up. Rather than leave problem-submitters guessing, be honest with them about (1) how you will decide what will get worked on, and (2) that not everyone’s problem will get worked on directly. This communication can be as simple as a Senior Leader announcement at a town hall, or it can be memorialized in an Innovation Doctrine that lays out the fundamental principles that guide coordinated action in your organization.

Pro-tip: the best innovation programs provide all problem owners with valuable information in exchange for their input. For example, pointing them in the direction of the office that can help them solve a simple problem; connecting them to someone experiencing a similar one, so they can band together; or just showing them a dashboard of your deal flow so they can see where their problem ranks or fits with others. A transparent and responsive innovation practice keeps contributors motivated to pursue their ideas and contribute to new ones in the future.

4. Look for patterns

Not every problem will get worked on. Even with infinite resources, you must prioritize based on your innovation thesis. However, seeing patterns in hundreds or thousands of problems, even the ones you set aside, will reveal the root cause of something greater. For example, you may find lots of problems related to testing new software. Instead of fixing each one, fix the process for testing, evaluating, and approving new software tools, eliminating an entire category of problems in one project.

5. Generate short, descriptive problem statements

Your success or failure is based on a disciplined commitment to problem-centric innovation. The best way to keep yourself honest is to initially frame projects as problem statements that provide sufficient background on the origins of the problem to be solved. This kick-starts the next stage of innovation (Curation) and ideally identifies (for the purpose of recruitment) at least some of the key stakeholders around a problem, their basic needs, and an early definition of success.

Pro-tip: a great problem statement should be shareable with and understandable by anyone. The goal is to present a clear articulation of the opportunity and to expand the coalition around the problem so that others can help you solve it.

Next, you’ll rigorously assess and prioritize your problems, and you’ll begin to interview and observe people affected by them. In the next post, we’ll share more insights on how to do it, so you know you can trust the data that results and amplify the confidence in your decisions.

Image credits: BMNT, Pixabay

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The Leader’s Guide to Making Innovation Happen

The Leader’s Guide to Making Innovation Happen

GUEST POST from Jesse Nieminen

Many would-be innovators obsess over ideas, wait for inspiration to strike, and believe that with the right idea, success can miraculously come overnight.

However, as we’ve written before, that’s just not going to happen. In fact, usually the only thing separating the winning innovators from the rest is execution. It makes all the difference in the world, and yet, it’s still a vastly underrated capability.

As part of our coaching program, we’ve asked hundreds of corporate innovators and innovation leaders to reflect on their strengths and weaknesses. And, by far, the most common answer is that they’re great at coming up with ideas and thinking about the big picture but lack the patience and discipline to see things through to results.

As such, it’s safe to say that as a community, we innovators need to take a hard look in the mirror and admit that this an area where most of us have a lot of room for improvement.

So, in today’s article, we’ll explore the topic of executing innovation in more detail to try to understand what the problems associated with it are, and what successful execution of an innovation really takes. This is designed to be a guide to help leaders get it right, but I think there’s a lot that every innovator regardless of job title can learn from.

What does executing innovation mean?

Before we dive deeper, it’s probably a good idea to clarify what we mean with the term “executing innovation”, and how it relates to “implementing innovation”.

These are often used interchangeably, but I think it’s useful to distinguish them from one another. The way we like to put this is as follows:

Implementing innovation is the process of taking an idea and then turning that into reality.

Executing innovation, on the other hand, is the entire process of creating value with innovation.

In other words, implementation is what you do for an individual idea to make that happen. Execution covers the implementation, but also the process of turning that (along with many other ideas and innovations) into something that actually creates value and can be scaled up.

Implementation isn’t always easy, but it’s still typically a linear project that you can usually plan out in advance. Execution, on the other hand, is a much more complex and multidisciplinary effort.

To succeed at delivering value, you need to get a lot of things right. And with innovation, there are many assumptions in that plan. Some of those assumptions will always prove to be false, and you’ll need to deviate from the plan.

That combination of multidisciplinary collaboration and the need to deviate from original plans often leads to a myriad of practical challenges in many large organizations.

However, before we dive deeper into those challenges, let’s first take a step back to realize why execution is so critical.

Why execution is critical for innovation success

There’s a reason for innovation being defined as the act of introducing something new.

Everyone has ideas. Many can even implement some form of them, typically a prototype, but few successfully realize the full potential of the idea by truly executing on it successfully.

To clarify, ideas are an important starting point, but with every great idea, there are hundreds or even thousands of people across the world who’ve had the same exact idea.

Most never start working on it. Many give up in the process. Some make it to market, and a few might even make that into a feasible business. There are usually only a couple of winners. Those are the ones that succeeded in executing that idea.

Everyone has ideas, but few successfully realize the full potential of their ideas. The ones that do are the ones that know how to execute well. 

This is of course a bit of an oversimplification but should help explain the fundamental importance of proper execution.

And that is not just true for individual ideas and innovations, but it’s also the case for corporate strategies at large. Look at any given industry, and it’s quite likely that you’ll see many companies with a nearly identical strategy. Again, the difference comes down to how well the company succeeded in executing that strategy.

In other words, your idea or strategy sets the ceiling for your impact if successful, but execution determines how close to that ceiling you’ll get. Even the best idea or strategy is worth nothing unless it’s executed well.

On the other hand, even with a mediocre strategy or idea, you can achieve remarkable success if you just execute it well enough. There are dozens of well-known companies like McDonald’s and FedEx that are obvious examples of this. There’s nothing particularly remarkable or distinctive about their ideas or strategies. They weren’t the first in their respective fields, they just executed on their ideas brilliantly.

FedEx Truck

What’s more, if you’re a strong executor, you’ll soon find out the limits of the original strategy or idea, at which point you can adapt and change course accordingly. But, it doesn’t work the other way around.

Thus, no matter the situation, execution will always be more important than your idea or strategy.

Misconceptions about executing innovation

As you might have realized by now, execution is of course a massive, nuanced, context-specific and very complex endeavor. In practice, it’s an endless jungle of interlinked choices and actions affecting one another that you need to navigate with limited information to get to the other side.

Thus, the space of possible challenges and problems you might encounter is pretty extensive. So, instead of looking at the individual problems themselves, it’s more helpful for us to try to understand the common misconceptions that ultimately lead to teams underappreciating execution and thus subsequently failing at it.

A big factor behind most of these is the fundamental uncertainty that innovation is always associated with. Because you can’t know everything in advance, it’s not going to be a nice and linear process of doing simple steps one after another. Instead, it’s a messy and iterative process of creative problem-solving.

Anyway, with that, here are the top four that I most commonly see innovation leaders and their teams have.

1. The leader’s job is just to get the big picture right

This is probably the most common problem I’ve come across, and it’s especially common among inexperienced executives, or ones that otherwise lack execution experience, such as some management consultants and academics.

There are many shapes this one might take, and we’ll return to it later, but what it ultimately comes down to is the glorification of strategy work and/or surface-level creativity.

In business school, and in consulting, we’re taught to think about the big picture as the job of top management. We’re led to believe that a leader or innovator takes in a market analysis, compares a few scenarios, chooses a positioning, and then paints an inspiring vision to show direction for the company. Then the pieces will simply fall in place and success happens.

Innovation Leader

While the above mentioned are of course still useful activities, if you’ve ever actually turned an innovative idea into a successful business, you know that in practice, there’s a lot more to it than that, and experienced executives are of course well aware of that

Strategic choices can be made across the organization, but the responsibility for execution always lies at the top.

As Professor Martin has well put it, CEOs should stop thinking that execution is somebody else’s job, and the same applies for every innovation leader. Strategic choices can be, and frequently are, made where the action is. Yet, the responsibility for execution always lies at the top. After all, there’s a reason for the CEO being the Chief Executive Officer.

2. I don’t need to understand the details

The second is closely related to our first one. It’s easy to think that as a leader or visionary innovator, you’re the person responsible for the vision, ideas, and big picture decisions, and then the experts will then figure things out in practice. After all, that’s why you hired them, right?

Well, that might work if you’re operating in a static industry where all the variables are known and static, but with innovation that really isn’t the case.

You need to get the big picture right, but it isn’t enough to succeed. You need to also have the right product, business model, technology, customer experience, customer acquisition channels and tactics, operating models, etc. All of these have a wide variety of choices that depend on one another and changes in any of the areas will force you to change many of the other pieces in the puzzle too.

With innovation, the devil is in the details!

As an innovation leader, connecting the dots is ultimately your job, and you can’t do that without understanding the details.

That’s why you’ll find an obsession for the details in pretty much every successful innovator, both past and present. They have the same in-depth understanding and attention to detail as the best artists, athletes and top representatives of other fields do too.

So, while you absolutely need to engage with and empower the experts, they are experts in their own field and likely don’t know how to consider all the other moving pieces in the puzzle. As an innovation leader, connecting the dots is ultimately your job, and you can’t do that without understanding the details.

It’s the one responsibility you simply can’t delegate away.

3. Execution requires a clear and unambiguous plan

Even if you are an experienced executive and value the importance of execution highly, it doesn’t mean you couldn’t fail when executing innovation. Here the most common problems occur if the leader’s experience comes primarily from operations within the known and well understood confines of “business as usual”.

When the environment is well understood, and the scale large from the get-go, it’s of course valuable to try to plan carefully, analyze business cases and craft detailed project plans prior to execution.

Also, since everyone knows that innovation is a risky endeavor, it of course makes sense to try to reduce those risks before your start a big innovation project to try to avoid major mistakes and generally just ensure that you’ve done a good job in planning and preparation before committing to the project.

This often leads to large companies commissioning all kinds of market studies and strategy projects. Some of those can certainly be useful in increasing your understanding of the landscape, but most invest way too much time, energy, and money into these. Also, every now and then these projects seem to be ordered only to have a scapegoat in case something goes wrong.

Regardless, there’s a fundamental problem: with innovation, you can’t have all the answers in advance. You’ll always need to make a number of assumptions upon which your plan relies on, some of which will inevitably prove to be wrong.

With innovation, you won’t have all the answers in advance.

Thus, if you require innovators to propose clear, detailed and unambiguous plans for you, or conversely create such plans and then hold innovators accountable for successfully executing them, it just won’t work out. And, whenever it then comes to surface that everything hasn’t gone according to the plan, innovation projects are frequently shut down, even if they’d still hold a lot of potential.

You obviously still need to align with the strategy, plan ahead, and have a disciplined approach to execution, but it’s not so much about creating a detailed roadmap, as it is about choosing direction and figuring out which questions or problems you’ll need to address first.

In other words, you need to embrace the uncertainty and the fact that you can’t have a perfectly unambiguous and detailed plan before starting to execute it. Instead, figure out what the assumptions and uncertainties in your plan are and commit to a disciplined learning effort to figure out the right path forward.

4. Innovation is fun

There’s a stereotype around people working in innovation being these visionaries that are bursting with great ideas and seem to come up with great new concepts all the time. And as mentioned in the intro to this article, that is often true.

The Fun Part of Innovation

That skillset is of course very useful for innovation, but there’s also a downside. There are naturally exceptions, but many of us working on innovation can find execution too boring and repetitive, and/or lack the perseverance, discipline, and patience needed to succeed at it.

Innovators often spend too much on the creative and “fun parts” of innovation, as opposed to what’s really needed to turn an idea into a successful innovation

As a group, we generally love creative work, and are always looking for fresh, new stimuli to feed that inspiration. That often leads us to spend too much time and effort on the “fun parts” of innovation, and too little on the not so fun, more repetitive, and laborious parts of the process that execution essentially is comprised of. The reality is that for every minute you spend coming up with ideas, you’ll probably need to spend a day, a week, or even more implementing those ideas.

So, if your innovation team is primarily filled with, or led by, such “idea people”, which is quite common, then there’s a big risk of a systematic lack of respect for and capabilities in execution. This will lead to a very suboptimal culture for innovation, and ultimately disappointing business outcomes.

Getting Execution Right

As already mentioned, there are a lot of similarities between successful execution in “business as usual”, and in innovation. However, there are also clear differences between the two.

So, to help you navigate the differences, and to succeed at executing on whatever innovation you’re working on, here are the five most important factors to keep in mind whenever you’re trying to execute on an innovation and build something truly novel.

Getting Innovation Execution Right Viima

1. Take the path most likely to succeed, but keep your options open

As mentioned, with innovation planning and strategy work need to be done a bit differently than you would with an existing business.

Good decisions here make it much easier for your team to figure out how to move forward and can save a lot of time money going down the wrong path. Regardless, you’ll soon end up at another crossroads and need to make another decision. Heck, sometimes you might even come across a dead-end and need to backtrack to an earlier crossroads. Sometimes Plan C or D is the way to go.

Innovation Plan C or D

The point is that no matter which path you choose, you won’t see what’s ahead all the way to the end.

Thus, good strategy work requires you to embrace uncertainty, test assumptions critically, and think deeply about the real-life feasibility of each path ahead.

And it’s certainly not a one-time project you do at the beginning, but more of a continuous learning process as you unravel the puzzle piece by piece.

If you keep an open mind and build your teams and products to embrace that uncertainty, you can quickly recover and learn from setbacks, as well as embrace new opportunities you couldn’t even think of before you set out. This is what’s known as cognitive and organizational flexibility.

2. Solve the biggest problems first

As humans, most of us have a bit of a tendency to go for the comfortable low-hanging fruits and procrastinate on the hard but important problems, as well as uncomfortable truths.

I’ve certainly been guilty of this on many occasions, even while writing of this article. Getting a number of small things done makes us feel like we’re making good progress, but unfortunately that’s often a bit of a false sensation as we might not really be any better off than when we began.

With the inherit uncertainty in innovation, that is naturally a bit of a problem. When you’re executing any given innovation, there’s countless things that need to be done so it’s easy to just start checking off boxes like building more features, creating marketing materials, getting compliance approvals, or whatever you may have on your agenda.

But, it’s the big things that make or break your innovation early on. For example: will a customer benefit from my product, how much are they willing to pay, can I even build the product I’ve envisioned, etc.

While you need to care about the details, it’s the big things that make or break your innovation early on. So, start from the big problems, even if it hurts!

The key is finding a way to figure out what these big problems or critical assumptions are, and then find ways to quickly test and address them. This allows you to quickly figure out if you’re on to something, which of course saves a lot of time and money for you in the inevitable case that you weren’t quite there from the get-go.

Also, if you get the big things right, you can already deliver most of the value, and that means you can more quickly start capturing some of that value to get a return for your investments.

Plus, if you tackle these early on when you still have a small team, changing course will be much quicker and easier, and you’ll have spent much less money solving the same important problems than you would with a larger team later on.

In most businesses, these critical assumptions revolve around how much value you can deliver to customers, and how valuable they see that to be. However, in certain circumstances, those can be related to something entirely different, such as the feasibility of implementation when developing a new breakthrough drug.

Solving for the hardest problems first does generally require a bit more of a leadership commitment as you won’t always be able to show quick wins as early on, but at least it can save you from an embarrassing and costly failure like CNN+.

3. Build the right team

It might be a bit of an obvious statement, but it’s still probably worth pointing out: innovation is a bit of a team sport. So, to do well at it, you need the right team.

However, what might not be as obvious is that ‘the right team’ means in practice. In our experience, there are two key parts to this:

  • Multidisciplinary team with talented individuals in each area
  • Leadership and individuals that share the right mindset for innovation

The prior is pretty self-explanatory. Innovation is almost always a cross-disciplinary effort. The specifics depend on what kind of an innovation you’re working on, but usually you need expertise in at least design, engineering, commercial and operational matters.

The most impactful innovations are actually comprised of a stack of innovations in many of these areas, each designed to work together to address a specific problem or ‘job’ for the customer. Thus, if you have talent at every position, the outcome will be much more than the sum of its parts.

Talented, disciplined, and gritty, multidisciplinary teams are needed for innovation

The latter, however, is the part that many teams fail to appreciate. Innovation is, by definition, doing something that others haven’t succeeded at before, so the journey won’t be easy.

Your team will face a lot of uncertainty and struggles, and will still need to perform at their best, often under a lot of pressure. That requires a very specific type of culture within the team, but also the right mindset for each individual. You want people that can cope with uncertainty and are able to remain optimistic and overcome difficult situations while still being realistic and ruthlessly critical of their own capabilities. They need to have an innate passion to strive for excellence, and a lot of discipline, grit, and perseverance.

And, of course, because it’s a team sport, people need to be able to work well together and perform as a team. This, however, isn’t usually much of an issue as long as people can leave their egos at the door. The struggles you will face together as a team will build bonds and gel you into a team.

4. Make sure every decision and detail are aligned

As we already discussed, you don’t need (and usually can’t have) a clear and unambiguous plan for an innovation project where every role and task would be charted out in advance. However, as we also discussed, the devil is often in the details and seemingly small things can derail the project from its goals?

So, what gives?

Well, the point is that with innovation, you need to keep an eye on everything. As an innovation leader, you need to maintain excellent awareness of both the big picture and the details throughout the project. But, because the environment changes dynamically and you need to move fast, you can’t really do that work upfront.

Nor can you just look at some KPIs and financial reports to figure out if things are moving in the right direction because the important things won’t show up in these for quite a while, and at that point, it’s often too already too late to react.

Everything must align when executing innovation

As a leader, your primary job is to keep up with what’s going on both with the ever-changing big picture, and the details on the ground so that you can spot problems early and intervene before it’s too late, no matter where the issues might arise from. If you don’t understand how everything works in practice and know what problems everyone is working on and why, it will be pretty much impossible to do that.

Some might see the latter as micro-management, but it doesn’t mean you have to dictate what everyone does. It just means that as a leader, you need to be the person that connects the dots and then empowers the team to succeed. There’s a clear difference.

Which brings us nicely to our last point.

5. Take full ownership for the execution

As we’ve covered, execution is the make-or-break part in the lifecycle for every innovation.

It’s always a bit of an exploratory process where you need to remain flexible, while still moving forward quickly and executing at a high level.

And, at the same time, seemingly inconsequential low-level choices related to implementation turn out to become existential issues for any innovation project.

Again, you don’t need to decide everything on behalf of your team. In fact, often it’s best to let the experts solve problems and do their job, as long as you can give them the right guidance and constraints to work with. Instead, you need to think of every potential problem as your fault and then figure out a way to get past them together with your team.

The bottom line is that being an innovation leader isn’t easy. It takes a lot of time and work to understand and stay on top of things, but as already mentioned, that’s the one thing you can’t really skip, automate, or delegate. Essentially everything else you can.

The only way to succeed at that is to take full ownership and commit to the process.

Conclusion

We’ve covered a lot of ground, so let’s do a bit of a recap.

Innovation isn’t a linear project that you can plan out in advance and monitor progress with a Gantt chart. There will always be plenty of surprises. Many unpleasant, but usually some positive ones too. You’ll need to be flexible enough to react to these and alter course accordingly.

It’s an inherently messy and iterative process of figuring out a way to build new things and align all the pieces so that everything works out.

Fundamentally, an innovation leader’s job is to show direction and try to keep track of everything that’s happening, align those puzzle pieces together with the big picture while always being on the lookout for potential problems and then eliminate those before they derail the project, as there will be many.

It’s not an easy or comfortable job, but if you can get it right, it’s an incredibly rewarding one.

Ironically, despite all the talk about practical issues and attention to detail being vital, this has been a bit of a high-level overview on the topic. So, if you’re interested in learning more about the details related to what we’ve discussed today, I have a couple of practical recommendations for you:

First, the best way to learn to innovate is by doing. So, get your hands dirty, keep these tips in mind, do your best, and I’ll guarantee you’ll learn a lot.

But, if you currently don’t quite have the time to commit to an innovation project, a good alternative way to learn more about innovation management is with our Innovation System online coaching program. We’ve now made the program completely free of charge for the first 1000 readers to sign up for it.

This article was originally published in Viima’s blog.

Image credits: Unsplash, Viima

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Moving Beyond Surveys to Measure Employee Satisfaction

Moving Beyond Surveys to Measure Employee Satisfaction

GUEST POST from Art Inteligencia

Employee satisfaction is paramount for any organization striving for excellence. Traditionally, surveys have been the primary tool for gauging employee sentiments. However, with the evolving work landscape, there is a growing realization that employee satisfaction is a multi-faceted entity that cannot be encapsulated solely through periodic surveys. As a thought leader in human-centered change and innovation, I invite you to explore alternative methodologies for measuring employee satisfaction, supported by real-world case studies that have pushed boundaries to listen better to their teams.

The Limitations of Surveys

Employee surveys have traditionally focused on broad metrics – satisfaction, engagement, and commitment. Unfortunately, these surveys often suffer from biases, low response rates, and do not always capture real-time or actionable insights. Moreover, the one-size-fits-all surveys do not account for the diversity of roles, cultures, and individual aspirations within an organization. A static survey administered annually or bi-annually often misses the nuances and dynamic shifts in employee satisfaction.

Beyond Surveys: Alternative Approaches

1. Behavioral Analytics

Armed with technology, organizations can now passively gather data on employee activities and interactions in the workplace. Analyzing these patterns can uncover insights into employee satisfaction that surveys may not capture. Workplace tools, communication patterns, and network analysis can shed light on a team’s overall health and workload distributions.

2. Holistic Listening Ecosystems

A holistic listening ecosystem involves establishing multiple channels of communication where feedback is continuously captured and analyzed. It focuses on active listening through town halls, anonymous forums, and digital platforms where employees can voice their concerns and share ideas anytime.

3. Employee Experience Journeys

Mapping out employee journeys within the organization can help identify critical touchpoints and experiences that affect satisfaction. This method allows organizations to understand pain points and moments of delight from the employee’s perspective, leading to targeted interventions and improvements.

Case Study 1: Spotify’s Employee Experience Squads

Spotify, renowned for its innovative work culture, implements Employee Experience (EX) Squads. These squads operate much like agile product teams, focusing on continuously evaluating and enhancing employees’ experiences. By using rapid iteration, feedback loops, and testing new initiatives in small groups, Spotify effectively tracks satisfaction without solely relying on annual employee surveys.

The EX Squads are formed of cross-functional members from HR, technology, and operational departments that regularly engage with employees to understand their needs and frustrations. They employ a variety of qualitative methods including face-to-face interviews, ethnographic studies, and digital feedback tools to gather comprehensive insights. By integrating behavioral analytics from internal communication tools and collaboration platforms, the squads can predict and address dissatisfaction trends before they escalate. Spotify has experienced higher employee retention and improved productivity by identifying critical satisfaction elements such as work-life harmony and growth opportunities.

Case Study 2: Unilever’s Internal Social Media Platform

Unilever embraced an unconventional path by deploying an internal social media platform named “MyVoice.” Unlike traditional employee feedback channels, “MyVoice” encourages ongoing dialogue among employees and leadership across various levels. It is designed to allow real-time interactions, feedback, and idea sharing, enabling the company to stay attuned to the employee pulse continuously.

Through “MyVoice,” employees can participate in thematic discussions, provide feedback on leadership decisions, and propose new ideas for business improvement. The platform leverages AI to analyze interactions and sentiment, providing Unilever insights into employee satisfaction deeply embedded in natural work conversations. Furthermore, it allows for quick identification and resolution of discontent, leading to more agile and responsive management practices. This approach, combined with occasional checks through micro-surveys and informal manager check-ins, has significantly enhanced Unilever’s ability to maintain higher levels of employee satisfaction and engagement.

Conclusion

As illustrated by these case studies, organizations that dare to step beyond traditional surveys can access richer insights into employee satisfaction. By utilizing a blend of behavioral analytics, continuous feedback channels, and innovative communication platforms, companies can capture a more holistic view of the employee experience. These novel approaches not only elevate satisfaction levels but also contribute to nurturing a more dynamic, responsive, and engaged workforce. In an era where employee experiences define organizational success, the courage to pioneer new methods of listening and learning is indeed a strategic advantage.

In conclusion, while surveys will continue to hold their place in the arsenal of HR tools, the future of measuring employee satisfaction lies in a more integrated, continuous, and human-centered approach. Organizations that adapt to these changes will be well-positioned to thrive in an increasingly competitive marketplace.

Extra Extra: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Microsoft Copilot

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Creating the World’s Best Change & Transformation Book

The Perfect Change & Transformation BookOn Friday I was speaking with my publisher Palgrave Macmillan (now part of Springer) about doing a second edition of Charting Change.

This means that my publisher is interested in having me create a new version of Charting Change that would include most, if not all, of the content contained in the first edition, while also adding thousands of words of new insights (plus new pictures and tools).

This causes me to ask you the following questions:

  1. What human-centered change and transformation topics are missing from Charting Change?
  2. What information would the perfect change & transformation book contain?
  3. What tools do change management professionals and transformation leaders need to enjoy greater success in their jobs, projects, and programs?
  4. Toolkit subscribers – which of my new tools should I highlight in the second edition that I didn’t introduce in the first edition?
  5. Who do you think has something compelling to add to the conversation in an additional guest expert section in the book? And what is the topic you want to hear from them on?

Charting Change introduced my Human-Centered Change™ methodology and a suite of 50+ tools available for purchase (book buyers get access to 26 of the 50+ tools). That toolkit has since grown to a collection of 70+ tools available to toolkit subscribers.

Thank you so much to everyone who has supported the first edition thus far and also to my Human-Centered Change™ Toolkit subscribers.

I’m interested to hear in the comments below your thoughts on the questions above!
(or send me an email)

If you don’t already have a first edition copy of Charting Change, you can get one here:

https://www.amazon.com/dp/1137536950/
(support my sharing of free Human-Centered Change & Innovation tools and insights)

And don’t forget to download your Free Human-Centered Change Tools!

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Impact of Cultural Differences on Innovation

Innovation and Impact of Cultural Differences

GUEST POST from Jesse Nieminen

The effects of cultural differences for innovation are an interesting and extremely multifaceted topic.

For most of us, it probably goes without saying that cross-cultural and multicultural capabilities are crucial in today’s globalized and hyperconnected world, and innovation is no exception. These capabilities are especially important if you’re working on it in a large international organization, as many of our customers are.

Such an organization must obviously think about how to adapt new innovative products and services to the cultures and unique characteristics of different markets and regions. But, in addition to that, they also need to manage the cultural differences within their organization while trying to innovate. Given that we have customers all over the world, it’s a theme we often get asked about.

And, of course, there’s also the age-old debate about the cultures of certain regions or countries being better suited to innovation to begin with.

So, in this today’s article, we’ll dive deeper on this nuanced topic and each of those three themes around cultural differences in innovation. We’ll also end by providing you with practical advice on how to look at and take these into account in your innovation work.

How can cultural differences be observed?

However, before we dive deeper, let’s first take a step back and consider the question of how to observe cultural differences in the first place.

I’m sure we all agree that there are significant cultural and behavioral differences between people coming from different backgrounds, be it based on geographical, ethnic, religious, or just the past corporate cultures people have been a part of.

As these differences are often hard to pin down, people usually have an innate urge to try to group people into specific buckets to make sense of those differences. There are significant challenges in doing that as it can lead to putting people into predefined boxes and reinforcing stereotypes, and then treating people based on those stereotypes instead of the individuals they really are. That is why these kinds of approaches shouldn’t be considered universal truths or used as recipes for making decisions even from a purely pragmatic point-of-view, let alone from an ethical one.

Still, with that major caveat, there are also benefits in using such frameworks since they can help us make sense of the world in a more structured way. They can help everyone get a better understanding of the big picture and can serve as a starting point for creating a shared understanding, as well as debating the practical implications of cultural differences.

There are many such methods available, but the general approach is always the same: to break a culture down into several behavioral and/or value-based dimensions ranging from one extreme to another, and then rating each culture on each of these dimensions to form an overview of their respective cultures.

The most popular and widely researched of these are probably the GLOBE project, and the Hofstede cultural dimensions model, but there are also other popular ones like the Culture Map. Each of these frameworks uses the above described approach, and most of the research on them is primarily focused on the differences between individual nations. Having said that, the same approaches have also been applied to other levels, such as gender, organizational, etc. often just with slightly different dimensions.

Next, we’ll briefly explain the Hofstede cultural dimensions model because it’s one of the earliest, and by far the most popular model in the field. If you’re already familiar with the model, you can skip the next paragraph and jump right into the takeaways.

Hofstede’s Cultural Dimensions

Geert Hofstede worked at IBM back in the 60’s when it was one of the first true global, multinational corporations. As part of his work on improving cross-cultural communication, he ran the same survey on values for more than 100,000 employees from different countries and analyzed the differences, which then led to the creation of his model some years later.

Initially the model consisted of four dimensions, but upon additional research, has since been expanded to six. I’ll briefly explain each of these next, and then share a few examples to illustrate how that works.

Power Distance Index (PDI) determines how equally power is distributed and how hierarchical a society is. High scores indicate a structured and hierarchical society, whereas low values indicate a more distributed power structure and willingness to question authority.

Individualism vs. Collectivism (IDV) looks at how heavily individuals are integrated into groups. This is mostly self-explanatory, but it’s worthy pointing out that collectivist cultures are highly loyal to the close-knit groups they belong to.

Uncertainty Avoidance (UAI) determines how much ambiguity and uncertainty a society is comfortable with. High scores indicate that a society values clear, often strict, rules and guidelines and believes in there being a “singular truth”. Low scores mean that a society is more willing to explore new ideas and divergent thoughts and is less structured overall.

Masculinity vs. Femininity (MAS) is of a dimension that’s subject to some controversy, but here refers to values associated with traditional gender roles. A masculine society values achievement, assertiveness, and material rewards for success, whereas a more feminine one values cooperation, modesty, care, and quality of life.

Long-term orientation vs. Short-term orientation (LTO) is pretty self-evident. Long-term oriented societies tend to think more about the future and view adaptation and pragmatic problem-solving as important, whereas more short-term oriented one tends to value traditions and the current state and be less willing to change.

Indulgence vs. Restraint (IND) in turn refers to how much a society indulges and encourages freedom for individuals to “just have fun and enjoy life”. More restrained societies tend to have stricter social norms regarding such behavior as they see these indulgences as counter-beneficial for bigger, longer-term ambitions.

There’s been some research on how these tendencies affect innovation, and as you can probably guess, some tend to be more favorable for high innovation performance than others. Which brings us to the big question: are some cultures intrinsically better at innovation than others?

Are some cultures better than others at innovation?

Well, in short, the answer is yes. At least to some extent. As mentioned, there’s research that shows a relatively strong correlation between certain cultural characteristics and innovation performance.

However, here it’s worth pointing out that almost all of the research done on the topic would seem to focus on country level data as that is widely and freely available thanks to studies like the Global Innovation Index (GII).

While certainly useful, we should take these findings with a grain of salt due to a number of factors, such as the studies again being high-level generalizations based on correlations, and the indices like GII being predominantly focused on inputs for innovation such as education and R&D spending. Even the output focused parts tend to be a bit biased towards activity metrics, such as number research papers and patents, instead of the real value and economic impact of innovation.

What’s more, I think it’s important to point out that most natural cultures evolve much slower than the GII rankings change, so it should be quite evident that there are also many other factors than culture that affect these scores.

But with that out of the way, let’s now look at the actual findings.

Characteristics of top innovation cultures

Based on the available studies, there would seem to be a pretty good consensus on the ideal innovation cultures having the following characteristics on the Hofstede model, in rough order of importance:

  • Low power-distance
  • High levels of long-term orientation and pragmatism
  • High levels of individualism
  • High levels of indulgence
  • Low levels of uncertainty avoidance
  • Lower levels of masculinity

These findings are obviously mostly in line with what most of us think of as a pro-innovation culture, so there aren’t really that many surprises here.

If people can question authority, are comfortable with ambiguous and uncertain environments, and can think about the long-term instead of just the next quarterly results, innovation is a lot more likely to happen.

While there’s more to innovation performance than culture, certain characteristics are likely to lead to a culture being better at innovation.

In most studies, the level of masculinity seemed to make the least amount of difference of any of the variables for innovation performance. Some studies found no correlation, but some did find a preference for a feminine, more collaborative culture instead of the more competitive and assertive, masculine one.

However, in my opinion, the most interesting findings are that high levels of individualism and indulgence are favorable for innovation, when intuitively we might think that a culture that is more collaborative and favors restraint and delayed gratification would be preferable.

This can be explained with the way that the Hofstede dimensions are constructed.

A more collaborative culture is one where certain in-groups, typically your own family, come first, and where loyalty and obedience are absolute values. So, collaboration according to the Hofstede model isn’t so much for the “greater good”, but more about the benefit of that specific “inner circle” ahead of your own interests. More individualist societies, on the other hand, tend to be more comfortable disagreeing, exploring, and “letting the best ideas win”, which is what likely led to these cultures over-performing.

A similar explanation also applies for the preference for indulgence. According to the authors of the study linked above, people in indulgent cultures have a greater drive for improving things and making life more enjoyable, and are generally more optimistic, which they viewed as the primary factors driving innovation here, perhaps alongside a general willingness to just try new things.

So, in that context, I do think the findings make sense, but I think it’s also a good example of some of the challenges associated with more nuanced sides of these cultural frameworks.

Takeaways from country level innovation performance

Looking at the GII study, and the mapping of the top countries from that to the Hofstede model, there are a couple of points worth noting out.

Viima Hofsted Insights GII study of cultural dimensions

First, the top countries in the GII are pretty much what most people would probably expect. The top 15 consists primarily of the US, the Nordics, as well as some Western European and East Asian countries.

However, the interesting part is that when we map these out to the Hofstede model, it’s immediately obvious that even the top performing countries are essentially all over the spectrum. Once we look a bit closer, it’s also evident that no individual country has the perfect innovation culture, as defined above.

To elaborate further, I think there are a few key takeaways from all of this:

  1. There’s more than just one way to be a great innovator
  2. While there are a few distinct types of cultures that generally do better, every culture has its own strengths and weaknesses when it comes to innovation
  3. You can improve your odds of succeeding at innovation by quite a bit if you recognize the biases of your culture that are likely holding you back

Top performing organizations should thus take these biases and cultural differences into account, and purposefully shape an organizational culture that is distinct from the average of any individual country and instead designed to drive more innovation. Here, diversity can be a real asset, but that’s another massive topic on its own.

Every culture has its own strengths and weaknesses when it comes to innovation. You can improve your odds of succeeding at it by recognising the biases that are holding yours back.

Having said that, there’s quite a bit more to creating this kind of an innovation culture than just what the Hofstede model captures, and we’ve written about that in detail in this earlier article.

However, one aspect that I’d like to highlight here is that innovation is requires a strong combination of both exploration and execution, so your culture should have a good mix of capabilities in both extremes.

If you’d like to start shaping your culture in practice, you can download our free Innovation Culture Toolkit for actionable tools that can help you do just that.

With that said, let’s now move on to the more practical implications of cultural differences for innovation work.

Multi and cross-cultural innovation capabilities

Let’s start from the first and most obvious challenge innovators in a globalized world face: how can their products and services, as well as sales and marketing efforts be relevant when doing international business, especially in different, highly culturally diverse regions?

In certain situations, and for certain products, it can be completely fine to just do minor localizations like translations, and primarily use the same channels, models, and messaging across the world. This will keep things much simpler and there are situations where these benefits can outweigh the costs for both your customers and your business. For example, this is the route we’ve so far decided to take with Viima.

Having said that, if you don’t adapt your offering and operations to different cultural and market preferences, you often can’t reach your full potential. In some situations, it might even take a completely different approach to reach the same goal in different cultures.

P&G is these days often cited as an example of a multinational company that has been able to successfully grow in emerging markets, but one of the lessons they learned the hard way was that just operating with the same products and models as they did back home wouldn’t work.

For example, according to ex-CEO Lafley, when P&G decided to focus on the baby-care market in Asia, the initial approach was to just cut away material from the diapers sold in Western markets. The problem was that to get to a cost-level that was acceptable, they had to cut out so much that the products no longer worked as intended. Once they went back to the drawing board and created an entirely new product with a completely different design focused primarily on costs instead of the latest technology, they succeeded in creating an attractive product and eventually became the market leader in China.

Pampers Cultural Tailoring

However, in most cases, either extreme isn’t the way to go. You need to look for a solution that allows you to build on your strengths, but still cater to the different cultural preferences of those whom you choose to serve – and usually that isn’t everyone.

Of course, for most of us who are innovators, that isn’t really that different from what we do anyway: we know that whatever great ideas we have, many will never survive first contact with the real world.

Cultural differences and local preferences of different markets are just another variable that we’ll need to take into account in our innovation work. Still, if you’re aiming for international business, it is a topic that you’d be wise to consider during your development process as it can save you a lot of trouble down the road.

Now, if you already have team members that are intimately familiar with these different cultures, it’s just common sense that the whole process is likely to be quite a bit smoother. And the evidence backs it up: this is one of the reasons for diversity being an asset for innovation.

But with that, let’s finally cover the practical considerations of what all of the above means for our organization before we wrap up.

Managing cultural differences within the organization

This is of course another massive topic, so we’ll keep things focused and will seek to provide you with the three key principles we’ve generally found to work well for getting great innovation outcomes in an international, multicultural organization in our work with such organizations.

While many of these are quite practical, depending on your role, you might not be able to put all of them into practice right away. Still, I’d recommend thinking about ways you can apply the same core ideas within the scope of your innovation work.

Cultural Differences for Innovation

Communicate about cultural biases and expectations openly

To illustrate this, I’ll share a story from No Rules Rules, which is a great book that I’d warmly recommend if you’ve made it this far into the post.

Before Netflix expanded internationally, it had a somewhat stereotypical US style task-oriented culture. It was quite common for employees to have lunch while working on their computers. However, as they expanded to Brazil, it quickly became obvious that this was a bit of a problem as, in general, Brazilians really value the relationships built over shared meals. As a result, early employees didn’t exactly feel welcome.

After some time, this came up in discussions, and while it was a trivial thing to fix, it still made a huge impact on morale. And not only did that help them adapt to local habits, but the changes also enriched the culture of the organization globally.

Netflix is known for its company culture

So, the takeaway here is that it’s important to pay attention to cultural differences and discuss them openly. Usually, the issues are easy enough to fix, but when they aren’t discussed, you easily miss them, and that’s what leads to many challenges down the road. The reality is that most people won’t be familiar with everyone else’s culture by default and expecting that to be the case just isn’t realistic.

Have core values and some norms, be flexible on the rest

Each organization’s culture is a result of its background. A sum of its parts, if you will. Be it the nationality of the company, past strategic and hiring decisions, and even simple practices and ways of working that have stuck around for one reason or another.

A few of these factors are core for the identity and competitiveness of the organization, and it’s these core values that you should hold on to. However, most of these factors are simple habits that are inconsequential in the grand scheme of things.

Making the difference between the two is key.

The core values and norms are something you simply need to succeed as an organization, and those you simply can’t compromise on. New employees, whatever their background or experience, do need to adhere to these few essentials. And for that to happen, you need to train them on these values and principles and tell why that is so important for your organization.

You should be adamant about upholding your core values, but be flexible and willing to give up or change the more inconsequential parts of your culture so that it can evolve and improve

On the other hand, the rest of inconsequential norms and habits you should be willing to give up or change when needed so that everyone can feel welcome and be the best version of themselves. Everybody doesn’t have to be a carbon copy of one another.

But there’s more to it than just that. The right changes can, in fact, make your culture better. This is essentially what “hire for culture add, not culture fit” means in practice.

Let’s again use the Netflix lunch example. Was it crucial for the company to have employees to eat at their desks? Of course not. It was just an inconsequential habit. However, it was vital to have the new Brazilian employees feel welcome, not just because it’s the right thing to do, but also because it improved the company’s performance. Plus, introducing this conscious habit globally helped have a positive impact elsewhere too!

Shared Lunch Brazil

The same can be applied even within the scope of your innovation work. For example, if you’re working on a new medical device, quality and safety are much more important than absolute speed to market. On the other hand, for a consumer web app, it’s probably the other way around. The exact values mentioned here aren’t important, it’s that they should support your strategy and innovation capabilities.

Figure out what the true core values and norms are for your innovation efforts, and make sure to reinforce these – and then be flexible on the rest.

Push decision-making down whenever possible

We’re a strong advocate for decentralized innovation. I won’t recap the whole topic here, but in a nutshell, it’s people who are closest to the market and the real work that often come up with the best ideas. Also, a decentralized approach allows you to dramatically scale your innovation work, which is key for long-term results.

While we’d argue that this is usually the preferable approach, it’s even more important when you’re operating in a multicultural and international environment, as we pointed out earlier.

Not only is this likely to lead to better decisions, but it’s guaranteed to improve the accountability and motivation of the employees making those decisions, which will lead to better results.

This is a key characteristics of the Netflix culture, and CEO Hastings prides himself in doing as few decisions as possible. And, at large, it’s seemed to work really well for them.

However, a market where they are struggling is India. And, at least on the surface, it looks like the problem has been that they’ve tried to adapt the same success formula to India as most other markets: using local top talent to produce new hit TV shows. The problem is that apparently Indians value sports and movies much more than they do TV shows, which has led to competitors focused on those areas dominating the market and a big commercial disappointment for Netflix. From the outside, it’s hard to say if they didn’t really live up to their values here, or if the mistake happened regardless of that. Still, I’m sure there were people on the ground in India that knew of these cultural preferences beforehand.

India Cricket

In practical terms, there are naturally some opportunities and capabilities that make sense to work on centrally, but in an international organization there are also plenty that would be best tackled by empowering people further down the organization to make decisions that best drive the key interests of the organization.

For example, some of our customers have launched big international innovation campaigns or other initiatives and struggled. They might find it difficult to engage people in the field because the centralized effort just doesn’t feel relevant for many of these people, or they might not be able to implement enough good ideas with that same centralized approach.

While there are others that have succeeded in similar centralized efforts, our most successful and advanced customers have nearly without exception evolved the way they work to really embrace innovation at the scale of the organization at large.

…and make sure innovators have the support they need

However, for that decentralized approach to work, you need to guide and support the people innovating across the organization. This is of course not specific to just an environment where there are cultural differences, but for innovation in general.

You likely have plenty of smart and capable people working for you who’d be more than capable of driving innovation, but if they don’t have the right resources, tools, and mindset, they might struggle.

So, in practice, you should:

  • share strategic priorities, and make sure people continue to work towards those
  • provide tools and resources that help people with the innovation process
  • communicate and oversee the above-mentioned core cultural values and norms of the organization
  • help people with challenges in being heard, understood, or taken seriously by others
  • help facilitate discussions and share innovation best practices between different parts of the organization

Often, the most convenient way to accomplish the above goals is to make these efforts a priority of your centralized innovation team, instead of having that small team try to drive innovation themselves.

The right approach and specific methods, tools, and frameworks obviously depend on the situation, but the point is that with the right support, you’ll find that people will often surprise you with the innovations that they’re able to create. The key to success with this model is to proactively invest in improving capabilities and supporting innovators across the organization.

Anyway, with this kind of an approach, you can move from just trying to manage cultural differences, to embracing and using them to drive value for your organization.

Conclusion

The topic of cultural differences is such a complex and nuanced topic that  we’ve barely scratched the surface on here, even though this has been a pretty long article.

But to summarize, if ignored, cultural differences can become a big challenge for innovators. Yet, if embraced and properly managed, it can turn out to be a real advantage for you.

The first step is to understand that these differences exist in the first place, and that teams and people from different backgrounds are likely to have certain strengths, but also certain weaknesses, when it comes to innovation.

Then, reflect on what the ideal culture for innovation looks like in your specific business, and discuss these differences openly with your team.

And finally, try to approach the whole process systematically, with the help of tools like our Innovation Culture Scorecard, one by one addressing challenges that are holding your team back from reaching its true innovation potential.

As mentioned, when embraced and properly managed, cultural differences can turn out to be a real competitive advantage for an innovator.

This article was originally published in Viima’s blog.

Image credits: Viima, Pixabay, Unsplash, Pexels

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Employee Journey Mapping from On-boarding to Exit

Employee Journey Mapping from On-boarding to Exit

GUEST POST from Art Inteligencia

In today’s competitive market, organizations need to do more than just attract talent; they must keep and nurture them. One powerful tool to achieve this is Employee Journey Mapping. This comprehensive strategy can be pivotal in shaping experiences that engage employees from their first day to their last, creating loyal ambassadors of your brand long after they exit.

Employee Journey Mapping involves creating a visual representation of every step an employee takes within an organization. By identifying key touchpoints, from on-boarding to exit, organizations can craft meaningful experiences that drive satisfaction, productivity, and retention.

Case Study 1: Tech Innovate Inc.

Tech Innovate Inc., a rapidly growing tech company, faced challenges with employee churn especially within the initial six months. They realized the gap was in their on-boarding process. By mapping out the employee journey, they found that new hires often felt overwhelmed with the training material and disconnected from their teams.

The company revamped its on-boarding process by pacing the training sessions, introducing team-building activities, and assigning mentors. This initiative resulted in a 30% reduction in early turnover and increased engagement scores across departments. For more on creating impactful on-boarding programs, read my article on Creating Winning Employee On-boarding Programs.

Case Study 2: Healthcare Heroes LLC

In the healthcare sector, Healthcare Heroes LLC discovered through journey mapping that there was a disconnect at the stage of professional development. Employees desired growth opportunities, but the organization lacked structured career paths.

By implementing individualized development plans and establishing a clear promotion pathway, Healthcare Heroes fostered a culture of growth. Employee satisfaction scores soared, and the company saw a 40% decrease in voluntary turnover. For insights on fostering growth, check out John Bessant’s article on Innovating Innovation.

Mapping the Exit Experience

The exit phase is often overlooked, yet it’s crucial to leave a positive lasting impression. When mapped effectively, the exit process can be an opportunity to gather valuable feedback and ensure departing employees become advocates for the organization.

Implementing structured exit interviews and alumni networks can provide insights into areas of improvement while maintaining a connection with valuable talent. For more on optimizing exit strategies, visit 8 Strategies to Future-Proofing Your Business & Gaining Competitive Advantage.

Conclusion

Employee Journey Mapping from on-boarding to exit is not merely a process but a paradigm shift in how organizations view their workforce. By understanding and enhancing every touchpoint, companies can foster engagement, build loyalty, and ensure long-term success. Start mapping today and transform your employee experience into a competitive advantage.

Extra Extra: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Pexels

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A Guide to Organizing Innovation

A Guide to Organizing Innovation

GUEST POST from Jesse Nieminen

I recently read a couple of excellent articles by Nick Skillicorn, and Prof. Rita McGrath where both discuss the challenges and intricacies involved in structuring and governing innovation within a large organization.

This is a classic topic that every corporate innovator has without a doubt come across, and it’s also one where “the right approach” is often quite elusive.

Inspired by those articles, we’ll present the most common archetypes and then dig a little deeper on the topic and share our thoughts and experiences to help you figure out how innovation should be structured within your organization.

Why organizing innovation is challenging

Before we dive into the different models for governing and organizing innovation, it’s important to understand why this is such a challenging topic to begin with.

That’s of course quite a lengthy and nuanced topic, but in short, there is no such thing as a perfect organizational structure or governance model. The bottom line is that a large organization is simply such a complex entity that structuring everything perfectly so that there aren’t any kind of bottlenecks, misaligned incentives, or any duplication of work just isn’t very realistic. If you’ve ever worked in large organization, you’ve certainly come across some of these challenges.

Now, most of these challenges are likely to be worse with innovation than with “business as usual” as, by definition, innovation means introducing changes. And most organizations simply aren’t designed for constant change.

What’s more, businesses are naturally very different from one another. A structure that works for a single product software company probably isn’t ideal for a CPG manufacturer or a house of brands because not only are their industries different, so are the innovations they are going after. So, what works well for some organization probably won’t be ideal for you.

This means that benchmarking and then applying “best practices” likely won’t work too well. Unfortunately, there just isn’t a single correct way to organize innovation.

Exploring the organizational archetypes for innovation

Having said that, there are a handful of common approaches, which we like to call archetypes, that most organizations use as the foundation for their efforts to organize and govern innovation.

Both McGrath and Skillicorn have done an excellent job in presenting many of these approaches, so a lot of credit for the following descriptions goes to them and I’d warmly recommend you read their takes too. Regardless, we’ve summarized their main points and combined them with our own experiences to create the following archetypes.

We’ll next explain each of these briefly, along with a quick summary of the key strengths and weaknesses for each.

External Innovation Organizational Model

No in-house innovation

The first and simplest way to organize innovation is to not do it, or to completely outsource it. Perhaps the most common method here is to simply keep tabs on promising startups and then acquire them, or to have tight collaboration with universities and other research institutions.

While this obviously keeps things simple organization-wise and minimizes fixed costs, it also means that you no longer have control over your own destiny, and are instead reliant on third parties, which puts you in a very vulnerable position long term. Furthermore, in the last decade, we’ve seen a huge inflow of capital to fund startups, which means that valuations for promising startups have skyrocketed and acquiring them on the cheap is simply no longer a very feasible strategy.

Suffice to say, if you want to build an organization that thrives in the long run, I wouldn’t recommend this approach.

Pros

  • Low fixed costs
  • Structurally simple


Cons

  • Lack of strategic control and ability to build the future of the organization
  • Lack of differentiation
  • Reliance on third parties for both execution and especially exploration
  • Acquisition of promising innovations has become expensive

Centralized Innovation Organizational Model

Centralized

Perhaps the most common way large organizations set up innovation is by creating a centralized department that serves the innovation needs of the entire organization including each business unit and support functions, such as IT or HR. This can be a subdivision within R&D, but these days it’s typically a separate cross-departmental unit serving the innovation needs of business units.

Either way, such a unit is quick and easy to set up, and the approach has some other obvious advantages too, such as innovation expertise being built and managed centrally, which speeds up learning, as well as management and reporting being easy to organize.

It’s these advantages that make centralization the obvious choice for many who are just starting out with innovation. This is also an especially common approach for large industrial companies that typically have a strong R&D tradition.

If all of the innovation has to go through a single team, that team will inevitably become a bottleneck for innovation, no matter how skilled or large it is.

However, in the long run, this approach is also one that is likely to significantly limit your innovation potential. The reason is simple: if all of the innovation has to go through a single team, that team will inevitably become a bottleneck for innovation. No matter how large or skilled the team, they’ll never have enough resources. What’s more, this will also disincentivize everyone else in the organization from innovating and that prevents you from creating a true culture of innovation.

Pros

  • Quick, easy, and cheap to set up
  • Dedicated resources for working on innovation
  • Easy to govern, manage, and report on the overall innovation portfolio
  • Centralization can speed up learning


Cons

  • Poor scalability as centralized team will inevitably become a bottleneck for innovation
  • Likely to be pulled into too many projects, which leads to poor execution
  • High risk of degenerating into a support function serving business unit requests instead of strategically building the future of the organization
  • Likely to disincentivize others in the organization from innovating
  • Conflicting interests between business units can make prioritization difficult
  • Typically lack authority to make important, hard decisions

Dedicated Innovation Organizational Model

Dedicated

Popularized by Clayton Christensen as a solution to the Innovators’s Dilemma, dedicated business units for innovation have become increasingly popular in large organizations that are looking for the next stage of their growth. Sometimes these units have proper P&L responsibility, and they might even report directly to the CEO or others in senior management, but at times they can also be innovation labs responsible primarily for testing and piloting new ideas before they are to be integrated into the core business.

Regardless of the particularities, these approaches have some specific strengths, but also clear weaknesses. The good thing is that because the unit is independent, it can usually avoid being held back by the restrictions of the business as usual and can build their talent and approaches from scratch.

If innovation is the job of a select few, it will be incredibly hard to build a pro-innovation culture.

The downside is that they also don’t necessarily play to the strengths that the organization has already built. Without strong and clear leadership, these kinds of innovation efforts are likely to have an equally poor success rate as your average startup – but without the asymmetric upside.

The reason is simple: if you already have hundreds of millions or billions in revenue, most new businesses just don’t move the needle enough – unless they can quickly grow to a massive size or be combined with the strengths and competitive advantages of the core business.

And just like with the centralized model, this model again limits innovation to one part of the organization. As before, that will likely prevent you from creating a true culture of innovation, and thus lead to the unit becoming a bottleneck down the road.

Pros

  • Freedom to operate independently from processes of existing business units, which is essential for trying new things and creating disruptive innovations
  • Ability to hire and organize specifically for innovation
  • If led well, ability to focus on the long-term instead of short-term performance
  • High profile innovation unit can also be used for marketing and employer branding purposes


Cons

  • Conflicts of interest and lack of cooperation between core business and innovation unit likely to lead to politics, tension, and other challenges in integrating innovations into core business
  • Independence and lack of communication between business units might hurt strategic alignment and prevent the innovation unit from benefiting from the existing strengths of the organization
  • Can easily degenerate into a cost center performing innovation theaterwithout a clear strategic focus, strong leadership, and evidence-based processes
  • Likely to disincentivize innovation in other parts of the organization and thus prevent the creation of an innovation culture
  • High initial investment with lots of uncertainty can make the business case for investing in innovation look bad

Embedded Innovation Organizational Model

Embedded

Many organizations have relatively independent business units or product and brand teams, and for them it can often make sense for innovation to be embedded within these units.

Traditional examples of such an approach are companies like P&G and other CPG companies with strong brands. These companies are working hard to keep up to date with evolving trends and consumer needs to innovate and create new products for the consumer. However, the same can also be true for many other kinds of businesses, such as software companies with multiple products.

Depending on the industry and organization, these units might have varying levels of control over their innovations once they are on the market. For example, in CPG companies manufacturing, logistics and many other functions would likely be managed by core business operations instead of this unit.

Pros

  • Better able to focus innovation on things that matter for each business, be they strategic projects or emerging customer needs
  • More control over innovation resources and ability to get talent that meets specific needs
  • Parallelization over different units can increase innovation throughput of the organization overall
  • Easier to align innovation with business needs and plans within the unit
  • The business case for investing in innovation is typically easy to make as you can start from low-hanging fruits that provide immediate value


Cons

  • Innovation likely to be biased towards more applied and incremental projects due to focus on immediate business needs
  • Some efforts may be duplicated between teams, especially if more long-term R&D work is being done
  • Can lead to a silo-effect, extra need to focus on facilitating knowledge transfer between units

Ambidextrous Innovation Organizational Model

Ambidextrous

Our fifth approach is usually referred to as the ambidextrous organization. We’ve  also seen it be referred to as the Hybrid model, and it’s quite a natural evolution from the previous archetypes as it seeks to combine the best of both worlds.

In a nutshell, the idea is that innovation should happen across the organization with existing business units focused on exploiting their current position through incremental innovation, and a separate dedicated unit being responsible for exploring and building the future of the organization through more radical or disruptive innovation.

In the ambidextrous model, existing units use incremental innovation to exploit the current position and new units are set up to explore and build future.

In practice, a new P&L responsible division will be setup for new non-core businesses, and the more incremental innovation will then be organised either as Embedded or Centralized.

If an organization does successfully implement such an approach, it can lead to exceptional long-term performance, but that’s of course easier said than done. For most organizations, this is likely to require a significant transformation, and it can be challenging to get everyone onboard, build the right processes, as well as to align goals and incentives the right way across the organization.

Pros

  • Easier to build a balanced innovation portfolio with both strong short and long-term performance
  • Enables building an innovation-oriented culture across the organization
  • Enough resources for key projects across the organization
  • Makes it easier to communicate the innovation strategy with clear roles and responsibilities for each part of the organization
  • Can customize governance models to meet the needs of different types of innovation in different parts of the organization


Cons

  • Expensive and difficult to build, as well as to maintain
  • Requires clear leadership and a commitment to a transformation from the top
  • Can demotivate innovation-oriented employees that are in the core business
  • Usually requires extensive changes to processes and the re-skilling of managers and employees across the organization
  • While easier than with most other models on paper, prioritization and division of responsibilities can still be challenging in practice

Decentralized Innovation Organization

Decentralized

Our final model is the decentralized approach. If you look at any of the best innovators in the world, be it Apple, Tesla, SpaceX, or Amazon, this is closest to the model they use. None of these organizations has a centralized or dedicated team responsible for all innovation in the organization.

Instead, the organization decentralizes the responsibility for innovation to happen in individual teams (which are typically cross-functional and relatively small) across the organization. Each team is focused on figuring out how they could help the organization better reach their strategic goals, and innovation is just one of the key tools in that process.

If a team (or an individual leader or employee) comes across a big idea that shows promise but would require significant additional investments, they’ll apply for additional resources from management via a quick and streamlined process. If approved, that typically leads to another team being set up to pursue that idea.

This approach is sometimes called the permissionless model due to the significant freedom each team possesses to make decisions affecting their own work. The obvious advantages are that they usually know the problems intimately and have the resources, incentive, and know-how to solve them, and have fewer dependencies to other parts of the organization. That leads to an extremely high pace of innovation and innovation throughput for the organization, which together create a tremendous competitive advantage.

Loosely Coupled vs Tightly Coupled Organization

Having said that, this too isn’t exactly an easy model to implement for most organizations. Typically, this would require a fundamentally different mindset, leadership philosophy, and a significantly higher talent density. For the average organization, that means a full-blown transformation where most fundamentals in the organization would need to change, which of course isn’t feasible for many.

Pros

  • Extremely high throughput and pace of innovation
  • Ability to adapt, re-organize and meet changing demands quickly
  • Strong focus on execution and value creation
  • Clear roles and responsibilities


Cons

  • Would require a fundamental transformation for most organizations
  • Requires strong communication and strategic clarity from management
  • Active management involvement required to remove barriers and to organize teams so that the portfolio remains balanced
  • Requires high talent density across the organization, which can be very challenging to achieve in practice
  • Continuously evolving and rapidly changing landscape might be too intensive for some employees
  • Some work often initially duplicated across teams, but can be managed by creating horizontal support teams

Choosing the right approach for your organization

As you can see, every approach has their benefits, but also their disadvantages.

In our experience, the Hybrid and especially Decentralized are the likeliest approaches to lead to sustained levels of high innovation performance in the 21stcentury but implementing either isn’t exactly a walk in the park for a large organization. If you have the luxury of meeting (or are close to meeting) the prerequisites, these are the models I’d personally go for.

However, for many, that just isn’t the reality. Even if you’re like most organizations and don’t quite have the talent, leadership, or other prerequisites needed for these approaches, I’d keep either the Hybrid or Decentralized approach as your eventual goal to build towards.

Move control and decision-making down in the organization to be able to move faster, make more informed decisions, respond to changes quicker, and to simply innovate more.

However, instead of a major overnight transformation, you should be prepared for a set of smaller, gradual steps that build your capabilities and culture towards that future while solving the current problems with your processes and structures.

Centralization vs Innovation Maturity

While not ideal in theory, in practice the journey towards becoming a mature top innovator typically first leads towards centralization for most incumbent organizations. They need to build their innovation strategy, knowledge and capabilities before they can successfully decentralize and move control and decision-making down in the organization to be able to move faster, make more informed decisions, respond to changes quicker, and to simply innovate more.

With that background, if such an approach is used, it’s crucial that this centralized innovation function understands and embraces their temporary role so that they are willing to relinquish control and power over innovation to others. All too often we see these leaders clinging on to the team, budget and power they’ve built long after it would’ve been in the organizations’ best interest to re-organize.

Best practices for organizing innovation

As we’ve discussed, if you’re planning to make changes to the way you organize innovation, most decisions will depend on your context. Still, there are a few things that are good to keep in mind regardless of the approach you end up choosing. Here’s my top three:

The best innovators continuously evolve

The first, and perhaps the most important point to remember is that the best innovators continuously evolve and improve the way they work. They don’t just pick one organizational structure and go with that forever. Instead, they are constantly looking for ways to re-organize their efforts so that they work on whatever is likely to best help them reach their goals. This is of course one of the fundamental strengths of the Decentralized model but applies to other approaches too.

This is also in line with how the most successful organizations approach re-organizations in general. They don’t just wait until the old structure is burning, they act proactively to position themselves for the future they want to create.

Clear roles and decision-making structures

It’s pretty obvious, but if people don’t know who can make a decision on an idea that they may have, or even who’s responsibility it would fall under, odds are that not a lot of innovation will happen.

The reality is that there will always be some ambiguity and overlap, especially in fast moving environments, but clear roles and decision-making structures are regardless important for an organization that wants to innovate.

If projects or decisions seem to get stuck, or turf battles seem to consistently pop up in your organization, unclear roles and ambiguous decision-making are likely to be the main culprits.

Organize according to strategy and plan for the execution

Again, it might sound obvious, but especially with innovation, the differences can be dramatic. Organization is the link between your strategy and your execution, so make sure it isn’t detached from the realities of what it will take to reach your goals with innovation.

To use a bit of a simplified example, if your strategy is focused on creating new business from emerging disruptive technologies, then the Embedded model probably won’t cut it as your innovators will be kept busy by the priorities from the core business.

How to organize innovation

Plan for the execution, on the other hand means that each team should have the resources and the freedom needed to reach your goals. If, using our previous example, you allocate just a few engineers to the team and then hope that sales will magically turn those technologies into booming businesses, odds are very much against you.

In other words, try to allocate resources so that the team has everything they need to reach their goals. While this sounds super basic, we still see these mistakes frequently when innovation is a bit of an afterthought for management.

Conclusion

As is probably evident by now, no structure or approach to governing innovation is ever going to be perfect, at least for long. As your goals change or your business and industry keep evolving, you will need to change and evolve too.

Even though organizing innovation doesn’t seem to get the same kind of attention as innovation strategy or culture, it’s extremely important, nevertheless. Get it wrong, and it will be almost impossible for your organization to succeed at innovation. Get it right, and you’ll at the very least have a realistic shot at that.

Hopefully this article has provided you with more thoughts on the topic, and some views on what to do and not-to-do.

This article was originally published in Viima’s blog.

Image credits: Unsplash, Viima, Nick Skillicorn

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A How To Guide for Overcoming Procrastination

A How To Guide for Overcoming Procrastination

GUEST POST from Janet Sernack

I often wonder why some people procrastinate by delaying, postponing, or avoiding solving problems, or by withdrawing from making smart decisions, taking calculated risks, or taking intelligent actions?

  • Why do they become paralyzed and unable to take the actions necessary to solve some of their key problems?
  • Why do they often resist making even the most necessary changes to support the delivery of their creative solutions?
  • Why do so many also avoid taking personal responsibility and being accountable towards achieving their desired outcomes and goals?
  • Why do people disengage, even when the situation or problem may be critical to their own, their teams, or their organizations success?

Despite knowing that there may be a range of negative consequences for procrastinating, involving a crippling, overwhelming, and paralyzing combination of reactive responses?

Which then typically impacts negatively on people’s self-efficacy and self-belief, self-worth, and self-esteem and diminishes their motivation, disengages them and immobilizes their ability to take the necessary actions and as a result, spiral downwards?

How do we help people overcome procrastination?

  • Why is this important?

It seems that procrastination is a challenge we and many others have faced at one point or another, where we struggle with being indecisive, delaying, ignoring, avoiding taking actions to initiate, progress, or completing tasks that may be important to us, as well as on issues that really matter to us, our teams, partners and organizations.

Ultimately leading to failures, and an inability to mitigate risks, or be creative and inventive and decreasing possibilities for innovation and increasing engagement, productivity, and improving performance.

Also potentially leading to feelings of loss, insecurity, inadequacy, frustration, disengagement, and depression and in extreme cases, client, project failures and job losses, and even burnout!

Why do people procrastinate?

  • The need for security and self-protection is the key root causes of procrastination

Procrastination is most often a self-protection strategy, a way of defending ourselves, rooted in fears that result in anxieties around feeling unsafe, vulnerable, and being judged or punished, especially in times of uncertainty, unpredictability, uncontrollability, and when feeling overwhelmed.

In most organizational contexts, procrastinators are likely to respond be risk-averse by:

  • Being apprehensive and even withdrawing energetically (dis-engaging) from people as well as from the creative conversation, coupled with a lack of commitment to the change process or towards achieving the agreed goal (lacking conviction and being worried about the future).
  • Not showing up and spending a lot of time and energy zigzagging around and away from what they feel is consuming them or making them feel threatened or uncomfortable (avoidance).
  • Blaming external people and factors for not “allowing” them to participate or succeed (time, workload, culture, or environment).
  • Denying that achieving the goal really matters, bringing up excuses, and reasonable reasons about why having the goal doesn’t really matter to them, as well as a willingness to take risks (non-committal).
  • Being fearful of the future, dreading what might be the range of possible negative and overwhelming events and situations (pessimism).

What are the key signals of an effective procrastinator?

The first step in noticing the key signals is to tune into our own, and peoples’ effective avoidance default pattern as to what is really going on from a systemic perspective.

By paying deep attention, and being non -judgmental and non evaluative to the range of signals outlined as follows:

Behavior Signals

  • “Playing it safe” or “being nice” by being unwilling to challenge and be challenged.
  • Resisting any change efforts, disengaging, and being reluctant to disclose and share authentically what is really going on for them.
  • Unwillingness to take risks.
  • Shying away from engaging with their partners, families, colleagues, group activities, and from having candid conversations.
  • Being overtly indecisive and non-committal.

Neurological State Signals

  • Increased anxiety and “attention deficit” syndrome.
  • Low motivation and self-confidence.
  • Diminished ability to self-regulate and self-control.
  • Diminished self-efficacy and self-concept.
  • Onslaught of the creeping doubts and the imposter syndrome.

Extrinsic or Environmental Signals Occur When Fearful of Perception of Others

  • Performing poorly, making mistakes, or failing.
  • Fearful of doing too well, or in being too successful.
  • Losing control, status, or role.
  • Looking stupid, or being disapproved of.
  • Avoids conflict situations.

Fear of Success Signals

Some of us are unconsciously afraid of success, because irrationally we secretly believe that we are not worthy of it and don’t deserve it, and then self-sabotage our chances of success!

  • Being shy, introverted, and uncomfortable in the spotlight.
  • Being publicly successful brings social or emotional isolation.
  • Alienating peers as a result of achievement.
  • People may think you’re self-promoting.
  • Being perceived as a “tall poppy”.
  • Believing that success may not be all it’s cracked up to be, and that it might change you, but not for the better.

Fear of Failure Signals

Some people’s motivation to avoid failure often exceeds their motivation to succeed, which can cause them to unconsciously sabotage their chances of success.

  • Cognitive biases or irrational beliefs act as filters distorting reality.
  • Past pains felt from being vulnerable, abandoned, punished, blamed, or shamed in front of others, or of being disapproved of, envied, rejected, or disliked by others.
  • Fearful of looking “bad” or incompetent, in front of others.
  • Feeling threatened, a sense of danger or potential punishment, causing them to move away (freeze, fight, take flight) from confronting dangerous, painful situations as threatening.

Overcoming Procrastination Tips 

  • Co-create a safe, compassionate, and collaborative relationship

As most people find safety in procrastination at some point in time, to be an effective leader, manager, or coach in these situations, it’s important to be empathic and compassionate and “work with” where they may be coming from in terms of underlying self-beliefs:

  • “I don’t want to get hurt”.
  • “I don’t want to expose myself to risk”.

As well as respond constructively to their thoughts about how others may see them including:

  • Lacking confidence,
  • Hesitant.

Noticing how they may perceive themselves:

  • “I am nowhere near as good as I should be”.
  • “I am inadequate.”

Then by paying deep attention, and being intentional in co-creating a safe creative, and collaborative conversation that builds safety, permission, rapport, and trust by being:

  • Gentle and non-threatening, being both kind and courageous,
  • Aware of being both too direct, fast, and too laid back.
  • Providing gentle guiding, assurance, and lots of patience.
  • Focused on encouraging engagement, commitment, and confidence towards setting and achieving the desired outcome.

Ultimately enabling and equipping people to overcome procrastination creates openings and thresholds for learning and growth, to become the best person, to themselves and others, they can possibly be, and achieve the changes they wish to make in the world.

Find out about The Coach for Innovators Certified Program, a collaborative, intimate, and deep personalized innovation coaching and learning program, supported by a global group of peers over 8-weeks, starting May 2022. It is a blended learning program that will give you a deep understanding of the language, principles, and applications of a human-centered approach to innovation, within your unique context. Find out more.

Contact us now at mailto:janet@imaginenation.com.au to find out how we can partner with you to learn, adapt, and grow your business, team and organisation through disruption.

Image credit: Unsplash

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