Category Archives: Innovation

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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Building a Learn It All Culture

Don’t Be a Know It All

Building a Learn It All Culture

by Braden Kelley

Trying to be a “know-it-all” is a flawed goal.

It is impossible to know everything.

This is by design.

This is by intention.

In much the same way that programming languages have garbage collection built in, the human brain is built to prune. The human brain is built to forget more than it remembers. Instead of trying to override our natural tendencies, we must embrace them and see instead see how they empower us to be continuous learners.

“Garbage collection is the process in which programs try to free up memory space that is no longer used by objects.” — FreeCodeCamp

Where Insights Come From by Braden Kelley

And while knowledge is important, it is perishable, it is transitory, and it is not the highest aspiration.

  1. An understanding of data allows the creation of information
  2. The consumption of information allows the creation of knowledge
  3. The exploration of knowledge allows the creation of insight
  4. The connections between insights allow the creation of wisdom

Curiosity fuels the transformation of data and information into insights and wisdom, while knowledge funnel progression is driven by a quest for efficiency.

Knowledge Funnel

Knowledge FunnelThe knowledge funnel is a useful concept learned from Roger Martin in the Design of Business. The concept highlights how any new area creating information (and hopefully knowledge) starts very much as a mystery, but as our understanding of the topic area increases, we begin to identify heuristics and make sense of it. For me, this is where we begin to move from data and information to knowledge, and then as our knowledge increases we are able to codify this knowledge into algorithms.

Importance of Curiosity to a Learn It All Culture

If you want to build a learn-it-all culture, it all starts with curiosity. Curiosity leads to inquiry, and inquiry leads to learning. The achievement of insights is the ideal outcome for learning pursuits, and insights power innovation.

I’ve been writing about the importance of curiosity and its role in innovation since 2011 or before.

“The important thing is not to stop questioning. Curiosity has its own reason for existing.” – Albert Einstein

At an event I attended in New York City in 2011, Peter Diamandis of the XPRIZE Foundation talked about how for him the link between curiosity and innovation is the following:

“What should be possible that doesn’t yet exist?”

In my article Key to Innovation Success Revealed!, on the topic of curiosity I wrote:

The reason that curiosity is the secret to innovation success is that the absence of curiosity leads to acceptance and comfort in the status quo. The absence of curiosity leads to complacency (one of the enemies of innovation) and when organizations (or societies) become complacent or comfortable, they usually get run over from behind. When organizations or societies lack curiosity, they struggle to innovate. Curiosity causes people to ask ‘Why’ questions and ‘What if’ questions. Curiosity leads to inspiration. Inspiration leads to insight. Insights lead to ideas. And in a company or society where invention, collaboration and entrepreneurship knowledge, skills, abilities and practice are encouraged, ideas lead to action.

Five Keys to Building a Learn It All Culture

Change is the one constant, and it is continuous. If it wasn’t, all of us would still be hunting animals and collecting berries. Embracing continuous change and transformation allows us to accelerate our understanding of the universe and how our organizations can serve their missions more effectively and efficiently. Continuous change requires continuous learning. To prepare our people and our organization to succeed at continuous learning we need to do these five things:

1. Develop Good Learning Hygiene

Learning is a skill. To build an organization of continuous or lifelong learners, we must first help people learn how to learn. Two of the most important learning skills that we are not taught how to do in school, but that are crucial for success at innovation and other modern pursuits are the following:

  • Deep Thinking — Few of us are good at deep thinking and as a result, deep learning. Getting people to put all of their devices away is the initial challenge. Feeling comfortable not knowing the answer and sitting at a table with nothing more than a blank piece of paper is really hard. Teaching people how to meditate beforehand can be quite helpful. The goal of course is to get people into the state of mind that allows them to think deeply and capture their idea fragments, nuggets of inquiry and micro-inspirations. This will provide the fuel for collaboration and co-creation and the next key learning skill.
  • Augmented Learning — We live during amazing times, where if we don’t know something we can Google it or ask Siri, Cortana or Alexa. All of the assistants and search engines available to us, serve to quickly augment our human knowledge, skills and abilities. Knowing how to build good search queries is an incredibly powerful life skill. Teach it.

2. Reinforce Growth Mindset Behaviors

There has been much chatter about the difference between a fixed mindset and a growth mindset. It’s not really a new concept, but instead modern packaging for the level of maturity shown by those successful professionals who are willing to say:

“I don’t know.” and “Let me find out.” and “Failure is an opportunity to learn.”

Two ways organizations can demonstrate their commitment to a growth mindset are to:

  • Celebrate Failure — Create events or other ways to share some of the most important failures of the month or quarter, and what was learned from each.
  • Fund Curiosity — If you’re hiring curious people with a growth mindset, then every employee will be curious about something. Find a way to fund their investigation and exploration of what they’re curious about – even if it is not work-related. This is a great way of demonstrating the importance of curiosity to innovation and your commitment to it.

3. Make Unlearning Socially Acceptable

We all want to be the expert, and we work hard to achieve mastery. Meaning, often we hold on too tightly as new solutions emerge. And, to adopt new ways of solving old problems, often we have to unlearn what we think we know before we can learn the new ways. Smart organizations constantly challenge what they think they know about their customers, potential partners, product-market-fit, and even where future competition might come from.

4. Flex Your Reskilling and Retraining Muscles

With the accelerating pace of change, the organizations and even the countries that invest in reskilling and retaining their employees (or citizens) are the organizations and economies that stand the best chance of continued success. As more organizations commit to being purpose-driven organizations, the costs of recruitment actually increase, making it even more important to keep the employees you attract and to reskill and retrain them as your needs change. Especially as the pace of automation also increases…

5. Create Portable Not Proprietary Knowledge

If you gave an employee ten hours to spend to either:

  • Earn a professional certification
  • Complete company-created employee training

Which do you think most employees would choose?

Sorry, but most employees view company-created trainings somewhat like the dentist. They do it because they have to.

Work with professional associations to influence certification curriculums towards the knowledge, skills and abilities you need.

Find more and better ways of encouraging mentorship.

Invest in internal internship and innovation programs that allow employees to explore the ideas and the other areas of the business they’re passionate about.

Conclusion

Transitioning from a know-it-all to a learn-it-all culture is no small feat and requires commitment and investment at a number of different levels inside the organization. I’ve highlighted the five keys to building a learn-it-all culture inside your organization, but only you can take the keys and unlock these capabilities inside your organization. Now is the time to invest in your learning transformation.

But smart countries will be thinking bigger. Smart countries will be thinking about how they can transform their educational systems to create a continuous learning mindset in their next generation, finance a move from STEM to STEAM, and commit to ongoing worker reskilling and retraining programs to support displaced workers.

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Nanotechnology is the Next Giant Leap in Innovation

Nanotechnology is the Next Giant Leap in Innovation

GUEST POST from Chateau G Pato

In the ever-evolving realm of technological advancement, nanotechnology stands out as both pioneering and transformative. By manipulating matter at an atomic and molecular scale, we open the doors to an infinite series of possibilities—Key innovations that could redefine industries and enhance the human experience.

Unlocking New Potential

Nanotechnology operates on a scale so minuscule it’s difficult for the human mind to grasp. Yet, its applications span from medicine to agriculture, enabling breakthroughs that were once only conceptualized in science fiction.

Case Study 1: Revolutionizing Drug Delivery

One of the most promising applications of nanotechnology lies in the field of medicine, particularly in targeted drug delivery systems.

The Case of Liposome Drug Carriers

Liposomes are tiny vesicles that can encapsulate drugs, protecting them from degradation while delivering them precisely to target sites within the body. The company Encore Pharmaceuticals has been at the forefront of this innovation, integrating liposomal nanotechnology in cancer treatment.

Their liposome-based drug carrier systems increase the efficacy of chemotherapeutic agents, minimizing damage to healthy cells and reducing side effects significantly. This breakthrough not only improves patient outcomes but also represents a quantum leap in how we can approach complex diseases at the molecular level.

Case Study 2: Transforming Clean Energy

The implications of nanotechnology in clean energy are profound, with potential game-changers in energy efficiency and sustainability.

The Case of Nano-Enhanced Solar Panels

One innovation that holds promise for a sustainable future is the development of nano-enhanced solar panels by Nanocap Solar Solutions.

By applying a nanostructured surface coating to solar cells, the company dramatically increases their efficiency by enhancing light absorption and minimizing energy loss. This approach not only improves performance but also reduces the cost per watt, making solar energy more accessible and competitive with fossil fuels.

Such advancements herald a significant step forward in achieving global energy sustainability and reducing our carbon footprint dramatically.

The Road Ahead

As nanotechnology continues to evolve, it presents a landscape ripe for innovation and impact. However, with great potential comes the responsibility to navigate ethical considerations and societal implications carefully. The convergence of technology and humanity is an opportunity to co-create a future that benefits not only industries but individuals at a deeply human level.

The journey into the nanoscale realm is indeed the next giant leap, and with focused effort and thoughtful implementation, it promises to be a leap that propels us toward a more innovative, sustainable, and human-centric future.

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

Image credit: Pexels

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Developing a Human-Centered Innovation Culture

Developing a Human-Centered Innovation Culture

GUEST POST from Chateau G Pato

In today’s rapidly evolving business landscape, the importance of cultivating a human-centered innovation culture cannot be overstated. At its core, a human-centered approach to innovation prioritizes the needs, experiences, and well-being of individuals at every stage of the innovation process. By building an environment that encourages creativity, empathy, and collaboration, organizations can generate solutions that truly resonate with their end-users. Let’s explore the principles of human-centered innovation culture and examine two case studies that exemplify this approach in action.

Principles of Human-Centered Innovation

At the heart of a human-centered innovation culture lie several key principles:

  • Empathy and Understanding: Prioritizing a deep understanding of the needs, motivations, and experiences of the people you serve.
  • Collaboration: Encouraging diverse teams to work together, bringing multiple perspectives and expertise to the table.
  • Iterative Process: Embracing a cycle of prototyping, feedback, and continuous improvement.
  • Openness to Risk: Accepting failure as a learning opportunity and fostering a willingness to take calculated risks.
  • Long-term Value Creation: Focusing on solutions that generate sustainable value for users and stakeholders.

Case Study 1: IDEO

The Challenge

IDEO, a global design and consulting firm, was tasked with reimagining the traditional shopping cart experience to reduce theft and enhance customer convenience.

The Approach

IDEO embraced a human-centered approach by first spending a significant amount of time observing and interviewing shoppers and store employees to gain insights into the challenges they faced with existing carts. They then assembled a diverse team of designers, engineers, and behavioral experts to collaborate on developing prototype solutions.

The Outcome

The result was a novel cart design with features such as a modular basket system, ergonomic handles, and advanced locking mechanisms. The innovative cart addressed many pain points identified during the research phase, leading to increased user satisfaction and reduced incidents of cart theft.

Case Study 2: Airbnb

The Challenge

Airbnb sought to improve the experience for both hosts and guests by making it easier for property owners to list their accommodations and for travelers to find and book stays that met their needs.

The Approach

Airbnb employed a human-centered design approach by involving users in the design process. They conducted extensive interviews and gathered feedback from both hosts and guests to understand their pain points and aspirations. This user research informed the redesign of the Airbnb platform, emphasizing ease of use, trust, and community.

The Outcome

The redesigned platform resulted in a more intuitive user interface, streamlined booking processes, and enhanced verification features to build trust. This human-centered approach not only improved the user experience but also contributed to Airbnb’s rapid growth and widespread acceptance in the travel industry.

Conclusion

Developing a human-centered innovation culture requires commitment, empathy, and a willingness to truly understand and address the needs of users. Organizations that successfully implement this approach are often rewarded with innovative solutions that stand the test of time. By prioritizing the human element in design and decision-making, companies can create products and services that delight users and drive sustainable growth.

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

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Leveraging Data to Drive Innovation Success

Leveraging Data to Drive Innovation Success

GUEST POST from Art Inteligencia

In today’s hyper-competitive business landscape, the ability to innovate is no longer just a strategic advantage; it’s an imperative for survival. However, innovation is often seen as a mysterious, complex process that is difficult to manage or measure. Enter data-driven innovation—a methodology that combines the vast potential of data analytics with the creative processes of innovation to not only generate groundbreaking ideas but also validate and scale them effectively.

This article explores how organizations can leverage data to foster a culture of innovation, reduce risk, and ultimately achieve greater success. We’ll also dive into case studies of companies that have successfully utilized data-driven strategies to revolutionize their business models.

The Role of Data in Innovation

Data serves as the backbone of informed decision-making, offering insights that can guide businesses through the uncertainties of the innovation process. From identifying unmet customer needs to predicting future trends, data provides the actionable intelligence required for both incremental and disruptive innovation. By leveraging big data, businesses can:

  • Understand customer behavior and preferences more deeply.
  • Identify new market opportunities and emerging trends.
  • Enhance product development processes through insights.
  • Track and measure the impact of innovation initiatives.

Let’s explore two case studies of companies that have successfully harnessed data to drive innovation.

Case Study 1: Netflix’s Predictive Analytics in Content Creation

Netflix is a pioneering example of how data can be leveraged to innovate in the realm of content creation. The streaming giant utilizes data analytics not only to understand viewer preferences but also to predict future content success. Utilizing a plethora of data points such as viewing history, search queries, and ratings, Netflix makes informed decisions about which shows to produce or license.

One of the most notable examples of this strategic approach is the creation of the critically acclaimed series “House of Cards.” Netflix analyzed user data to determine that a political drama starring Kevin Spacey and directed by David Fincher would likely succeed. This data-driven gamble resulted in a highly popular show that garnered millions of views and set new standards for original programming.

Case Study 2: Amazon’s Use of Machine Learning for Customer Experience

Amazon is another prime example of leveraging data to foster innovation, particularly in customer experience. The e-commerce giant employs data-driven strategies to personalize the shopping experience, optimize pricing, and streamline operations.

Amazon’s recommendation engine, powered by robust machine learning algorithms, analyzes user behavior and purchase history to suggest products that customers are likely to buy. This not only enhances the customer experience but also boosts sales and customer loyalty. Furthermore, Amazon uses data from customer feedback and return patterns to innovate in product delivery and supply chain management, ensuring faster and more efficient service.

Conclusion

The integration of data into the innovation process has transformed how organizations develop and implement new ideas. By leveraging data strategically, businesses can reduce the risks associated with innovation, tailor their offerings to meet customer needs more effectively, and capitalize on new market opportunities. As technology progresses, those who embrace data-driven innovation will continue to thrive, pushing the boundaries of what is possible and setting new benchmarks for success.

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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Innovation is About Conversations Not Knowledge

Innovation is About Conversations Not Knowledge

GUEST POST from Greg Satell

One of the most often repeated stories about innovation is that of Alexander Fleming who, returning from his summer holiday in 1928, found that his bacterial cultures were contaminated by a strange mold. Yet instead of throwing away his work, he decided to study the mold instead and discovered penicillin.

What’s often left out is that it wasn’t Fleming who developed penicillin into a miracle drug. In fact, it wasn’t until a decade later that a team led by Howard Florey and Ernst Chain rediscovered Fleming’s work and, collaborating with several labs in the United States, ushered in the new era of antibiotics.

For some reason, we tend to assume that great innovators are lone geniuses. However, in researching my book, Mapping Innovation, I found just the opposite to be true. Innovation is, in fact, a highly social activity and great innovators cultivate long standing relationships with trusted thought partners. This was always true, but Covid has pushed it to new heights.

The “Martians” Of Fasori

Like a lot of children, Eugene Wigner lacked confidence in math class. In Eugene’s case, however, the problem wasn’t any lack of mathematical ability, but that his classmate and friend at the Fasori Gimnázium was John von Neuman, possibly the single greatest mathematician of the 20th century. Outmatched, Eugene chose to focus on physics, for which he would win the Nobel Prize in 1963.

The two were part of a group of Hungarian scientists that came to be known as the Martians, including such luminaries as Edward Teller, John Kemeny, George Polya and Paul Erdős, just to name a few. The group would help to revolutionize mathematics, physics and computer science for half a century.

In 1939, one of the “Martians,” Leo Szilard, became increasingly concerned about the explosive power of nuclear energy, which was poorly understood at the time. He went to confer with his friend Wigner and the two considered the matter important enough to sound the alarm. They drafted a letter, which Albert Einstein signed, which was ultimately delivered to President Roosevelt and led to the development of the Manhattan Project.

Each of the Martians was a genius in his own right, but combined they formed an important network of support that helped them all thrive and led to breakthroughs such as the first modern computer and the BASIC computer language. The world today is unquestionably better for it.

The Olympia Academy

In 1901, Albert Einstein was a recent graduate of the mathematics and physics in the teaching diploma program at the Zürich polytechnic school. Finding himself unable to find a job. he put an ad in the newspaper to attract students he could tutor to earn some money. A Romanian philosophy student named Maurice Solovine answered the ad.

As it turned out, Einstein didn’t think Solovine needed lessons in physics, but the two hit it off and Einstein invited his new friend to come and visit any time he wanted. Soon, a mathematician named Conrad Habicht joined the group and the three friends began to refer to their meetings as The Olympia Academy.

The meetings eventually began to take on a regular rhythm. They would read books from intellectual giants such as Ernst Mach, Henri Poincaré and David Hume, then discuss them late into the night and sometimes into the early morning hours. The debates were often vigorous, but always cordial.

Einstein would later credit these meetings with helping him come up with the ideas that led to the miracle year papers that would shift the foundations of modern physics. Einstein would, of course, become one of the world’s most famous people, but he never forgot his two friends from the Olympia Academy. The three stayed in touch throughout their lives, exchanging ideas and debating finer points.

The Bloomsbury Group

Historically, most intellectual clubs were exclusively male. That was certainly true of the Hungarian “Martians” and the Olympia Academy, as with others such as the Vienna Circle, but the Bloomsbury Group of early 20th century Cambridge was an unusual exception.

Although it was itself somewhat of an offshoot of the wholly male society of Apostles, the Bloomsbury included accomplished women such as Vanessa Bell and Virginia Woolf. It would come to be highly influential in areas as diverse as art, economics, literature and politics

It began in 1905, when Thoby Steven started hosting “Thursday Evening’s” for Cambridge intellectuals visiting London and his sister Vanessa followed up with “Friday Club.” The loose gathering’s became an informal network that included literary types like E. M. Forster and Lytton Strachey, as well as such luminaries as the economist John Maynard Keynes and the philosopher Bertrand Russell.

Although the group came to be seen as snobbish and out of touch, the accomplishments of its members cannot be denied. Nor can the fact that even as they grew in fame and had increasing demands on their time, they continued to see deep value in the dialogue they had with each other.

Collaboration Is A Competitive Advantage

What’s most interesting about groups such as the “Martians,” the Olympia Academy and the Bloomsbury group is not just that they exist, but how devoted their members were to them and how integral they saw the dialogue they produced to their own successes. For many of the same reasons, highly innovative firms often design workspaces to promote collaboration.

That’s no accident. Decades of research, including a study of “star” engineers at Bell labs as well as one of designers at IDEO, found that the best innovators are not necessarily the smartest or even the hardest working, but those who actively build up a strong network of collaborators. Another study of 17.9 million scientific papers found that the most highly cited work tends to come from a group of specialists in a specific field collaborating with an outsider.

Today’s technology creates new opportunities to collaborate and the impact is beginning to be felt. As Jennifer Doudna explained in The Economist, the Covid crisis is ushering in a “new era of science” in which collaboration is accelerating across national, institutional and disciplinary boundaries in ways that are unprecedented.

What’s becoming clear is that collaboration is increasingly becoming a competitive advantage and it’s not just what you know, but who you talk to, that will determine whether you succeed or fail. The better networks we build, the more likely it will be that we stumble across that random bit of information or insight that can help us solve an important problem.

— Article courtesy of the Digital Tonto blog
— Image credit: Pexels

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Innovating Through Adversity and Constraints

Innovating Through Adversity and Constraints

GUEST POST from Janet Sernack

It’s been almost two and a half years since most of us shifted to working virtually and remotely, which, in turn, seriously disrupted most of our business-as-usual behaviors and learning habits. Interestingly, this also disrupted our habitual unconscious safety and comfort zones, and, in many cases, disconnected our overall sense of security. For some of us, our ability to make sense of ourselves and our futures, has been impacted, impacting our abilities to find new ways of being creative and innovating through the range of constraints and adverse situations.

Looking inward

Some of us have also had our confidence to survive and thrive in a world severely impacted, and many of us have felt exploited, exhausted, and depleted by our employers. According to Lynda Gratton, in a recent article in MIT Sloane Magazine “Making Sense of the Future” many of us are looking inward — working through the impact of our changing habits, networks, and skills, and begin to imagine other life trajectories and possible selves.

Looking outward

Again, according to Lynda Gratton, some of us are now also looking outward to analyze how talent markets are changing and what competitors are doing, which is creating momentum and a force for change, but also frustration and anxiety, given institutional lag and inertia.

The larger-than-life, terrible, and confronting conflict in Ukraine has also inflated, for some of us, a deeper sense of helplessness and exhaustion, and amplified our concerns and fears for a sustainable future.

The momentum for change is growing 

Yet some people have successfully responded to worries and concerns about the inertia holding our companies back, and have adapted to working, learning, and coaching online. Using this moment in time to help de-escalate our reactivity to what’s been going on to deeply connect, explore, discover, listen, and respond creatively to what is really important, to ourselves, our people, teams and our organizations.

To help shift the tension between today and tomorrow, through regenerating and replenishing ourselves and our teams, by shifting the dialogue towards renewing and innovating through constraints and adversity in uncertain and unstable times.

Innovating through constraints at ImagineNation™

Innovating through constraints enabled the collective at ImagineNation™ to design and deliver a bespoke, intense, and immersive learning journey for an executive team aiming at igniting and mobilizing their collective genius to step up to face their fears, adapt, take smart risks and innovate in uncertain and disruptive times!

Some of the constraints we collaboratively and creatively mastered included adapting to differing:

  • Geographies, we are based in Melbourne, Australia, and our client was based in Canada, which made managing time zone schedules challenging, including some very early 4.30 am starts for us –  Making flexibility and adaptiveness crucial to our success.  
  • Technologies, balancing Zoom-based online webinars and workshops, with Google chat rooms and jamboards, completing one on one coaching sessions, and assigning, completing, and presenting group action learning assignments – Reinforcing the need for constant iteration and pivoting to ensure the delivery of outcomes, as promised.
  • Communicating, including air freighting hard copy reflection packs, scheduling, and partnering virtually, all within a remote and fractured working environment –Ensuring that clarity and consistency would lead to the successful delivery of the outcomes, as promised.

Shifting the dialogue

Demonstrating that we can all be resilient and creative when we live in times of great uncertainty and instability through investing in reskilling people and teams to become more purposeful, human, and customer-centric.

We can all break the inertia by challenging our business-as-usual thinking and shifting the dialogue towards exploring our inner challenges and navigating the outer challenges of our current environment.

If we commit to doing this with more consciousness, hope, optimism, and control, to follow a direction rather than a specific destination by:

  • Perceiving this moment in time as an “unfreezing opportunity” and an opening to shift out of inertia and complacency, to re-generate and re-invent ourselves and our teams?
  • Knowing how to connect, explore, discover, generate and catalyze creative ideas to rapidly and safely unlearn, relearn, collaborate and innovate through constraints and adversity?
  • Committing to letting go of our “old baggage” and ways of making sense of our new reality, by experimenting with smart risk-taking, and making gamification accessible in an environment that is unpredictable?

Re-generating and re-inventing in uncertain and unstable times

In fact, many of us successfully adapted to online working, learning, and coaching environments by de-escalating any feelings of helplessness and hopelessness.

To bravely focus on regenerating and reinventing ourselves and our teams and using this moment in time to be curious, shift the dialogue, explore possibilities, harness collective intelligence and ask some catalytic questions:

  • What if we intentionally disrupted our current way of thinking?
  • How might we think differently to shift our perception and perceive our worlds with “fresh eyes”? What might be possible?
  • What if we shift the dialogue to engage people in innovating through constraints?
  • How might we shift the dialogue to activate and mobilize people towards taking intelligent risks through constraints?
  • How might thinking differently empower, enable and equip ourselves and our teams to navigate the current environment with more hope and optimism?
  • What if re-consider and perceive these constraints differently?
  • How might we support people to ignite their creativity?
  • How might we equip people to be creative and develop better ideas?
  • How might we resource people to force more change and innovation?
  • How might we discover new ways of creating value for people in ways that they appreciate and cherish?

Grappling with the future is paradoxical

Finally, Lynda Gratton suggests that we need to:

“Acknowledge that this is not straightforward. Right now, many leaders are stuck between two sources of tension: the tension of enlightenment, where they can begin to imagine what is possible, and the tension of denial, where they are concerned that more flexible working arrangements will negatively affect performance. They grapple with whether the change will be necessary or possible. These are legitimate tensions that are only exacerbated by the sense of exhaustion many people feel”.

If we perceive these constraints as catalysts for setting a clear focus and direction, it might force us to experiment with creative ways of acting and doing things differently.

It might also force us to make tougher decisions around our inner and outer priorities, by exploring and discovering more balanced, creative, and inventive ways of constantly iterating and pivoting whatever resources are available to get the important jobs done.

An opportunity to learn more

Find out about our learning products and tools, including 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 9-weeks, starting Tuesday, May 4, 2022.

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Sustainability Metrics That Measure Impact in Innovation

Sustainability Metrics That Measure Impact in Innovation

GUEST POST from Chateau G Pato

In today’s rapidly evolving world, the importance of innovation cannot be overstated. However, in our drive for progress, the necessity for sustainable practices has become increasingly clear. This article delves into sustainability metrics, examining how organizations can effectively measure their impact in the realm of innovation. With sustainability metrics, we make the abstract tangible, translating ideals into actionable insights.

What are Sustainability Metrics?

Sustainability metrics are tools and methodologies used to quantify an organization’s environmental, social, and economic impacts. These metrics provide frameworks for assessing the sustainability of innovation efforts, ensuring that new products, services, and business models align with principles of social responsibility and ecological balance.

Case Study 1: Interface, Inc.

Innovation in Modular Flooring

Interface, Inc., a global leader in modular flooring, is a shining example of how sustainability metrics can drive innovation. The company’s Mission Zero commitment aimed to eliminate any negative impact it may have on the environment by 2020. Central to this mission were robust sustainability metrics that assessed carbon footprint, water usage, and recycling rates across their operations.

Interface leveraged their EcoMetrics database to track and measure these factors, leading to groundbreaking initiatives like the “ReEntry” recycling program. This program reclaimed and recycled old carpet tiles, reducing both waste and raw material consumption. As a result, Interface’s innovative approach not only met their sustainability goals but also unlocked efficiencies and improvements in their manufacturing processes, reinforcing the link between sustainable practices and economic benefits.

Case Study 2: Unilever

The Sustainable Living Plan

Unilever’s Sustainable Living Plan is another exemplary case of using sustainability metrics to transform innovation. The initiative set ambitious targets across three areas: improving health and well-being, reducing environmental impact, and enhancing livelihoods. Key to their strategy was measuring the lifecycle impact of their products, from sourcing to disposal.

By implementing tools like the lifecycle analysis, Unilever could calculate carbon emissions, water usage, and waste production at every stage of the product lifecycle. This data-driven approach spurred innovations ranging from water-efficient production techniques to biodegradable packaging. Crucially, these innovations resulted not only in reduced environmental footprints but also fostered brand loyalty and consumer trust, showcasing how sustainability metrics can drive business success.

Integrating Sustainability Metrics into Innovation

Organizations looking to integrate sustainability metrics into their innovation processes should follow these steps:

  1. Define clear objectives: Establish what aspects of sustainability are most critical to your organization and set clear, measurable goals.
  2. Choose relevant metrics: Identify the most appropriate metrics for your objectives, such as carbon emissions, energy consumption, or social impact.
  3. Leverage technology and data: Use advanced analytics tools to collect, analyze, and interpret data effectively, ensuring accurate measurement and reporting.
  4. Foster a culture of sustainability: Ensure all team members understand the importance of sustainability, fostering innovation aligned with these values.

Conclusion

Sustainability metrics are not merely compliance tools but powerful enablers of innovation. By measuring impact and setting clear sustainability objectives, companies like Interface and Unilever have demonstrated that sustainable innovation is not only possible but also profitable. As organizations continue to navigate the complexities of modern business, their commitment to sustainability will undoubtedly shape the future of innovation.

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

Image credit: misterinnovation.com

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Unlearning and Relearning Are Keys to Innovative Thinking

Unlearning and Relearning Are Keys to Innovative Thinking

GUEST POST from Art Inteligencia

In the fast-paced world of the 21st century, the ability to think creatively and innovate is more critical than ever. However, a significant barrier often stands in the way of innovation: existing knowledge and beliefs. While knowledge is undoubtedly powerful, it can also create blind spots. Thus, the challenges of unlearning outdated concepts and relearning new approaches are essential to overcome for fostering innovation. Let’s delve into the art and science of unlearning and relearning, and explore how they serve as keys to innovative thinking.

The Process of Unlearning

Unlearning is the process of letting go of old information or approaches that no longer serve us. It is not so much about forgetting but about stepping back from ingrained habits and assumptions. This requires an open mind and a willingness to challenge one’s own mental models. To unlearn, individuals and organizations must cultivate curiosity and humility, recognizing that what worked yesterday may not work today.

Embracing Relearning

Relearning goes hand in hand with unlearning. It involves adopting new perspectives, skills, and ideas that are more relevant to current challenges and future opportunities. Relearning equips individuals with the ability to adapt to emerging trends and technologies. It fosters a mindset of continuous growth and reinforces the importance of lifelong learning. By embracing relearning, we lay the groundwork for developing innovative solutions.

Case Study: Kodak – A Lesson in Unlearning

Kodak’s Missed Opportunity

Once a giant in the photography industry, Kodak provides a stark lesson in the importance of unlearning. In the early 1970s, Kodak engineer Steve Sasson invented the first digital camera. But the innovative idea was shelved due to the company’s strong belief in traditional film photography.

Kodak’s failure to unlearn its reliance on film technology and embrace digital photography eventually led to its downfall. By clinging to existing knowledge and market dominance, Kodak missed the opportunity to lead an emerging digital revolution. The case of Kodak highlights the critical need for companies to unlearn outdated business models to innovate and thrive.

Case Study: Microsoft’s Cultural Shift

Microsoft’s Transformation

In stark contrast, Microsoft’s story is one of successful unlearning and relearning. Under the leadership of Satya Nadella, who became CEO in 2014, Microsoft embarked on a cultural transformation that emphasized ‘growth mindset’ and innovation.

Nadella encouraged employees to unlearn combative work habits and embraced a culture of collaboration. He recognized the need to pivot towards cloud computing and artificial intelligence, investing heavily in these fields and shifting the focus away from the traditional Windows-centric model.

This shift resulted in a reinvigorated Microsoft that regained market leadership and opened new revenue streams. By unlearning its past and relearning new business strategies, Microsoft exemplified how adaptation and innovation can significantly alter a company’s trajectory.

Strategies for Unlearning and Relearning

  • Cultivate Curiosity: Encourage a culture where questions are welcomed, and continual learning is embraced. Curiosity leads to an openness that is fundamental to unlearning old paradigms.
  • Challenge Assumptions: Foster an environment where assumptions can be questioned and debated. This involves promoting diversity of thought and encouraging feedback.
  • Create Safe Spaces for Experimentation: Allow team members to explore new ideas without fear of failure. Learning from both successes and mistakes fosters a culture of innovation.
  • Invest in Continuous Learning: Provide learning opportunities that promote skill development in new areas. Encourage employees to stay up to date with industry trends and emerging technologies.

In conclusion, unlearning and relearning are crucial processes in cultivating an innovative mindset. They require individuals and organizations to embrace change, challenge old assumptions, and stay agile in the face of rapid transformation. By following the examples set by companies like Microsoft and learning from the missteps of others like Kodak, we can unlock new avenues of growth and creativity. It is through continuous learning and adaptation that we will find the keys to tomorrow’s innovations.

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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Innovative Techniques in Voice of the Customer Research

Innovative Techniques in Voice of the Customer Research

GUEST POST from Chateau G Pato

In today’s highly competitive business landscape, understanding the customer’s voice is not just an advantage—it’s essential. The traditional techniques of focus groups and surveys are being complemented or even replaced by innovative approaches that delve deeper into customer sentiments, behaviors, and expectations. As organizations strive to become more customer-centric, Voice of the Customer (VoC) research has become a cornerstone for guiding product development, service improvement, and customer experience strategies.

Innovative VoC Techniques

Emerging technologies and methodologies are transforming the ways we gather and interpret the voice of the customer. Let’s explore some groundbreaking techniques that are reshaping VoC research:

1. Social Listening and Sentiment Analysis

The proliferation of social media has opened a treasure trove of unfiltered customer feedback. Social listening tools allow companies to monitor conversations about their brand, products, and industry trends in real-time. Sentiment analysis employs natural language processing (NLP) to detect emotions within this vast sea of data, enabling organizations to respond swiftly to emerging issues or capitalize on positive discussions.

Case Study: Brand X’s Social Sentiment Turnaround

Brand X, a leading consumer electronics manufacturer, was facing declining customer satisfaction scores. By implementing advanced social listening tools, they discovered a common complaint about their new smartphone model—battery life issues were being discussed widely across forums and social platforms.

Through sentiment analysis, Brand X identified the most critical pain points and prioritized them for resolution. They communicated transparently with their customers about upcoming software updates aimed at mitigating the battery problem, which positively impacted brand sentiment and restored consumer trust.

2. Customer Journey Mapping

Understanding the steps a consumer takes from awareness to post-purchase is critical for enhancing their experience. Customer Journey Mapping visually represents these journeys and identifies key touchpoints where customers interact with a brand. By analyzing these interactions, businesses can pinpoint process improvements and innovations that will delight customers.

3. Immersive Experience Testing

Virtual reality (VR) and augmented reality (AR) technologies offer immersive ways to understand customer preferences and behaviors. Companies can simulate real-world usage scenarios for their products or services, gathering immediate feedback in a controlled environment. This method is invaluable for product design and ergonomic studies.

Case Study: Retail Innovator’s Virtual Reality Prototype Testing

A leading retailer, Retail Innovator, sought to redesign their flagship store layout to enhance customer experience. Instead of traditional focus groups, they opted for a VR-based approach, creating a digital twin of their store.

Customers were invited to explore this virtual environment and interact with it naturally. Feedback from this immersive experience highlighted several design flaws that weren’t apparent in 2D sketches, and allowed Retail Innovator to make informed adjustments before implementing the changes in the physical store. The result was a significant increase in positive customer feedback and sales.

4. AI-Powered Chatbots

Chatbots have evolved significantly with advancements in artificial intelligence. They are now capable of engaging in more natural and meaningful conversations, capturing valuable feedback, resolving customer queries instantly, and identifying trends in customer issues—feeding these insights back into the VoC loop.

5. Text Analytics and Machine Learning

With the explosion of data, manually processing customer emails, chat logs, and open-ended survey responses can be burdensome. Text analytics and machine learning algorithms automate this process, identifying themes and sentiments, and revealing actionable insights from historical feedback data.

Conclusion

In the quest for alignment with the customer’s voice, innovative VoC techniques extend beyond simply listening—they involve understanding, anticipating, and acting on customer feedback more intelligently than ever before. As we’ve seen in our case studies, these techniques not only uncover hidden insights but prompt proactive improvements that can transform customer satisfaction and loyalty.

As a human-centered change and innovation thought leader, I can confidently assert that the businesses that will thrive in the future are those that embrace these cutting-edge methods to truly hear, and adapt to, the evolving desires of their customers. The customer’s voice is more than data—it is a powerful catalyst for innovation and sustained growth.

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

Image credit: misterinnovation.com

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