Iterate Your Thinking

Iterate Your Thinking

GUEST POST from Dennis Stauffer

One of the things that all sound innovation processes have in common is some way to iterate. To repeatedly work through a process that allows you to refine whatever you’re trying to create.

That might be building a prototype, testing it and building another version based on what you’ve learned. It might be gathering customer feedback and making adjustments that are more appealing or solve a problem more effectively. It might be exploring more than one business model or marketing strategy until you find one that works.

We tend to think of those iterations as making refinements to a product or strategy, but more than anything, it’s refining your own thinking. It’s being willing to change how you understand the world, by challenging your assumptions and beliefs—your mindset.

We’ve grown accustomed to thinking of learning as mastering a set of already well-defined concepts, like how to solve a math problem or memorizing facts from history. But innovation—and life in general—requires a different kind of learning. More like gradually mastering how to play a sport or musical instrument, or drive a car. This kind of learning is a more incremental process. One that prompts questions like:

  • How might I be wrong, and need to correct myself?
  • What do I not understand as well as I could?
  • What are some alternative beliefs and opinions, to the ones I have?
  • How might someone else see things differently and what could I learn from them?

The ability to iterate your own thinking, by being open to new interpretations of what you experience, is crucial to innovation. It’s also a good strategy for ordering your life, so you don’t lock onto a mindset that may not be the most effective for you.

Mental iteration is a powerful life skill—and healthy innovation habit—that also helps you innovate yourself.

View this post as a video here:

Image Credit: Pixabay

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Problems are Required for Progress to Occur

Problems are Required for Progress to Occur

GUEST POST from Mike Shipulski

Without a problem, there can be no progress.
And only after there’s too much no progress is a problem is created.
And once the problem is created, there can be progress.

When you know there’s a problem just over the horizon, you have a problem.
Your problem is that no one else sees the future problem, so they don’t have a problem.
And because they have no problem, there can be no progress.
Progress starts only after the calendar catches up to the problem.

When someone doesn’t think they have a problem, they have two problems.
Their first problem is the one they don’t see, and their second is that they don’t see it.
But before they can solve the first problem, they must solve the second.
And that’s usually a problem.

When someone hands you their problem, that’s a problem.
But if you don’t accept it, it’s still their problem.
And that’s a problem, for them.

When you try to solve every problem, that’s a problem.
Some problems aren’t worth solving.
And some don’t need to be solved yet.
And some solve themselves.
And some were never really problems at all.

When you don’t understand your problem, you have two problems.
Your first is the problem you have and your second is that you don’t know what your problem by name.
And you’ve got to solve the second before the first, which can be a problem.

With a big problem comes big attention. And that’s a problem.
With big attention comes a strong desire to demonstrate rapid progress. And that’s a problem.
And because progress comes slowly, fervent activity starts immediately. And that’s a problem.
And because there’s no time to waste, there’s no time to define the right problems to solve.

And there’s no bigger problem than solving the wrong problems.

Image credit: Pexels

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Is Customer Obsession a Two-Way Street At Your Company?

Is Customer Obsession a Two-Way Street At Your Company?

GUEST POST from Shep Hyken

One of my favorite ways to measure a customer’s satisfaction level with a company or brand is by using the Net Promoter Score (NPS) question, which is, “On a scale of zero to 10, how likely are you to recommend this company to a friend or colleague?” If the customer answers with a nine or a 10, they are known as a “promoter.” The insight is obvious. The customer experience was good enough for them to recommend the company. That would be sufficient if all you were interested in was customer satisfaction, but taking this to the next level is to wonder if the customer will actually recommend the company to another person.

That’s what led Marbue Brown, founder of Customer Obsession Advantage (COA), to create a study. His goal was to find out what type of customer would go from saying they would recommend a company to actually doing so. The COA interviewed more than 1,200 consumers who rated 22 recognized brands to compare customers classified as NPS promoters and customers who were obsessed with a brand.

Consider the following findings from the COA study:

  1. 82% of obsessed customers say they will recommend you to others.
  2. 42% report they have already recommended you more than five times in the past year.
  3. 44% say they always/usually share their feelings about the company with others when given the opportunity.
  4. 26% say they have placed online reviews.
  5. 88% say they will “absolutely” repurchase in the next 12 months.

These are more than just findings. These are behaviors. Consider that 42% of customers have already recommended the company or brand five or more times in the past year. That’s huge! Or, that 26% placed online reviews. How would you like one in four customers to leave positive reviews about you? (Rhetorical question). These are significant actions that create positive word-of-mouth marketing moments.

Whatever metric you have chosen to measure customer satisfaction— NPS, CSAT (Customer Satisfaction), CES (Customer Effort Score), Time Well Spent, etc.—they are all good tools that serve a purpose and provide important information, but they must be used for more than vanity. A high NPS is just a number, and it should offer more than bragging rights. While it’s nice to know you’re making your customers happy enough to recommend you, leave reviews, etc., it’s more important to recognize that these high scores are opportunities to take action. In other words, actions speak louder than words. A high NPS does not guarantee a customer will promote your business. You must determine if they are obsessed with your brand. While the customer with a high COA score may promote without prompting, why take a chance that they won’t?

For example, a high NPS is especially powerful in the B2B world, where salespeople often call on their customers. When a customer gives a high score, follow up with a phone call or personalized email to thank them for the high score and ask them, “In our survey, you mentioned you would recommend us. Would you be willing to share the names or make introductions to those people?” You may be pleasantly surprised at the positive responses you get from customers who are obsessed with your company.

The insights from Brown’s COA study highlight the behaviors of obsessed customers. The challenge is for us to take traditional metrics like NPS, CSAT and others to another level. A willingness to recommend (a Net Promoter) is just another way to measure customer satisfaction unless you do something with the data. The magic happens when this willingness turns into a tangible action that includes repeated recommendations, online reviews and a customer who says, “I’ll be back” and means it! That’s the difference between a willingness to promote and customer obsession.

Image Credits: Pexels

This article originally appeared on Forbes.com

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Next Generation Leadership Traits and Characteristics

Next Generation Leadership Traits and Characteristics

GUEST POST from Stefan Lindegaard

What are the traits and characteristics for a new generation of leaders, those who will shape the future in this sea of uncertainty?

To me, this is more about mindset than age. However, the mindset which I hint at below and that I believe we need more of reside well within the younger generation.

Thus, we could see a higher number of younger executives in the coming years even though they lack the leadership experience and skills that have been normal for leaders in their roles. They need to learn fast and hopefully do this while being surrounded with experiences in different ways.

I think this will be most prominent in Asia and even parts of Africa and South America where there is a stronger belief in the future compared to Europe and even the USA with its stronger sentiment of complacency as well as many overwhelming challenges.

Many current executives will of course also develop in good ways so I suggest we look for traits and characteristics in both groups such as:

  1. Holistic point of view (intrapreneurial skills)
  2. Understanding of psychological safety and the growth mindset (and ability to lead with and through this)
  3. Ability to constructively handle conflict
  4. Optimism, passion and drive
  5. Curiosity and belief in change
  6. Tolerance for / ability to deal with uncertainty
  7. Adaptive fast learner with sense of urgency
  8. Talent for networking / strategic influencing

The desired end-game? Leaders who are capable of the almost super-human task of both managing day-to-day activities and shaping the future.

Get the Right People on the Bus

By shaping the future, I mean the ability to thrive with transformation/change, apply new ways of working and improve collaboration capabilities while pursing new business opportunities and innovation.

Just a discussion starter. What do you think?

Image Credit: Pexels, Stefan Lindegaard

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Predicting Unintended Consequences

The 93% Rule

Predicting Unintended Consequences

GUEST POST from Robyn Bolton

Unintended consequences often catch us off guard despite their predictability.  The moment they occur, we gasp in shock, shake our heads, and look at each other in wide-eyed horror at this thing that just happened that we could never ever ever have anticipated. 

Yet, when (if) we do an After-Action Review, we often realize that these consequences were not entirely unforeseeable. In fact, had we anticipated them, we might have made different decisions.

The Unintended Consequences of Spreadsheets

In 1800 BCE, ancient Babylonians started recording data by scratching grids and columns onto clay tablets, and the spreadsheet was born.  Over the millennia, we went from clay tablets to papyrus to parchment and then paper. 

Fast forward to 1963 when R. Brian Walsh of Marquette University ported the Business Computer Language (BCL) program to an IBM 7040, and electronic spreadsheets became a reality.  The introduction of VisiCalc by Apple in 1979 revolutionized spreadsheet capabilities, followed by Lotus 123 and Microsoft Excel. Today, spreadsheets are ubiquitous in education, business operations, financial markets, budgeting, and even personal inventories.

Unintended yet predictable consequences

While spreadsheets have undoubtedly enhanced efficiency and accuracy compared to traditional methods like clay tablets or hand-drawn tables on parchment, their ease of use has inadvertently led to complacency.

We stopped engaging in a multi-millennial habit of discussing, debating, and deciding before making a spreadsheet. We started flippantly asking people to create spreadsheets and providing little, if any, guidance because “it’s easy to make changes and run scenarios.”

This shift resulted in a reliance on automated models and a lack of shared assumptions or analytical rigor in decision-making processes.

Of course, these behaviors were never intended.  They were, however, very predictable.

93% of Human Behavior is predictable.

Research spanning disciplines as varied as network scientists, anthropology, neuropsychology, and paleontology shines a light on how truly predictable we are.

Here are some examples:

Emotions before Reason: Ask someone if they make decisions based on their motivations, aspirations, and fears and use data to justify the decisions, and they’ll tell you no. Ask them the last time someone else made a decision that “made no sense,” and you’ll listen to a long list of examples.

Small gains now are better than big gains later: Thoughtfully planning before using solutions like spreadsheets, word processing, email, and instant messaging could save us time at work and help us get home 30 minutes earlier or work a few hours less on the weekend.  But saving a few seconds now by brain-dumping into Word, setting up a “flexible” spreadsheet, and firing off a text feels much better.

Confidence > Realism: We’ve all been in meetings where the loudest voice or the most senior person’s opinion carried the day.  As we follow their lead, we ignore signs that we’re wrong and explain away unexpected and foreboding outcomes until we either wake up to our mistakes or adjust to our new circumstances.

Predict the 93%. Create for the 7%

Acknowledging the predictability of human behavior is not an endorsement of stereotypes but a recognition of our innate cognitive processes. By incorporating this understanding into design, innovation, and decision-making processes, we better anticipate potential outcomes and mitigate unintended consequences.

While 93% of human behavior may follow predictable patterns rooted in evolutionary instincts, focusing on the remaining 7% allows for the exploration of unique behaviors and novel solutions.  By embracing both aspects of human nature, we can navigate challenges more effectively and anticipate a broader range of outcomes in our endeavors, leading to informed decision-making and value creation.

Now, if I could only get Excel to stop auto-converting numbers into date/time format.

Image credit: Pixabay

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Value Doesn’t Disappear

It Shifts From One Place to Another

Value Doesn't Disappear

GUEST POST from Greg Satell

A few years ago, I published an article about no-code software platforms, which was very well received. Before long, however, I began to get angry — and sometimes downright nasty — comments from software engineers who were horrified by the notion that you can produce software without actually understanding the code behind it.

Of course, no-code platforms don’t obviate the need for software engineers, but rather automate basic tasks so that amateurs can design applications by themselves. These platforms are, necessarily, limited but can increase productivity dramatically and help line managers customize technology to fit the task at hand.

Similarly, when FORTRAN, the first real computer language, was invented, many who wrote machine code objected, much like the software engineers did to my article. Yet Fortran didn’t destroy computer programming, but democratized and expanded it. The truth is that value never disappears. It just shifts to another place and that’s what we need to learn to focus on.

Why Robots Aren’t Taking Our Jobs

Ever since the financial crisis we’ve been hearing about robots taking our jobs. Yet just the opposite seems to be happening. In fact, we increasingly find ourselves in a labor shortage. Most tellingly, the shortage is especially acute in manufacturing, where automation is most pervasive. So what’s going on?

The fact is that automation doesn’t actually replace jobs, it replaces tasks. To understand how this works, think about the last time you walked into a highly automated Apple store, which actually employs more people than a typical retail location of the same size. They aren’t there to ring up your purchase any faster, but to do all the things that a machine can’t do, like answer your questions and solve your problems.

A few years ago I came across an even more stark example when I asked Vijay Mehta, Chief Innovation Officer for Consumer Information Services at Experian about the effect that shifting to the cloud had on his firm’s business. The first order effect was simple, they needed a lot less technicians to manage its infrastructure and those people could easily be laid off.

Yet they weren’t. Instead Experian shifted a lot of that talent and expertise to focus on creating new services for its customers. One of these, a cloud enabled “data on demand” platform called Ascend has since become one of the $4 billion company’s most profitable products.

Now think of what would have happened if Experian had merely seen cloud technology as an opportunity to cut costs. Sure, it would have fattened its profit margins temporarily, but as its competitors moved to the cloud that advantage would have soon been eroded and, without new products its business would soon decline.

The Outsourcing Dilemma

Another source of disruption in the job market has been outsourcing. While no one seemed to notice when large multinational corporations were outsourcing blue-collar jobs to low cost countries, now so-called “gig economy” sites like Upwork and Fiverr are doing the same thing for white collar professionals like graphic designers and web developers.

So you would expect to see a high degree of unemployment for those job categories, right? Actually no. The Bureau of Labor Statistics expects demand for graphic designers to increase 4% by 2026 and web developers to increase 15%. The site Mashable recently named web development as one of 8 skills you need to get hired in today’s economy.

It’s not hard to see why. While it is true that a skilled professional in a low-cost country can do small projects of the same caliber as those in high cost countries, those tasks do not constitute a whole job. For large, important projects, professionals must collaborate closely to solve complex problems. It’s hard to do that through text messages on a website.

So while it’s true that many tasks are being outsourced, the number of jobs has actually increased. Just like with automation, outsourcing doesn’t make value disappear, but shifts it somewhere else.

The Social Impact

None of this is to say that the effects of technology and globalization hasn’t been real. While it’s fine to speak analytically about value shifting here and there, if a task that you spent years to learn to do well becomes devalued, you take it hard. Economists have also found evidence that disruptions in the job market have contributed to political polarization.

The most obvious thing to do is retrain workers that have been displaced, but it turns out that’s not so simple. In Janesville, a book which chronicles a small town’s struggle to recover from the closing of a GM plant, author Amy Goldstein found that the workers that sought retraining actually did worse than those that didn’t.

When someone loses their job, they don’t need training. They need another job and removing yourself from the job market to take training courses can have serious costs. Work relationships begin to decay and there is no guarantee that the new skills you learn will be in any more demand than the old ones you already had.

In fact, Peter Capelli at the Wharton School argues that the entire notion of a skills gap in America is largely a myth. One reason that there is such a mismatch between the rhetoric about skills and the data is that the most effective training often comes on the job from an employer. It is augmenting skills, not replacing them that creates value.

At the same time, increased complexity in the economy is making collaboration more important, so often the most important skills workers need to learn are soft skills, like writing, listening and being a better team player.

You Can’t Compete With A Robot By Acting Like One

The future is always hard to predict. While it was easy to see that Amazon posed a real problem for large chain bookstores like Barnes & Noble and Borders, it was much less obvious that small independent bookstores would thrive. In much the same way, few saw that ten years after the launch of the Kindle that paper books would surge amid a decline in e-books.

The one overriding trend over the past 50 years or so is that the future is always more human. In Dan Schawbel’s recent book, Back to Human, the author finds that the antidote for our overly automated age is deeper personal relationships. Things like trust, empathy and caring can’t be automated or outsourced.

There are some things a machine will never do. It will never strike out in a little league game, have its heart broken or see its child born. That makes it hard — impossible really — for a machine ever to work effectively with humans as a real person would. The work of humans is increasingly to work with other humans to design work for machines.

That why perhaps the biggest shift in value is from cognitive to social skills. The high paying jobs today have less to do with the ability to retain facts or manipulate numbers (we now use a computer for those things), but require more deep collaboration, teamwork and emotional intelligence.

So while even the most technically inept line manager can now easily produce an application that it would have once required a highly skilled software engineer, to design the next generation of technology, we need engineers and line managers to work more closely together.

— Article courtesy of the Digital Tonto blog and previously appeared on Inc.com
— Image credits: Pixabay

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Celebrating World Creativity and Innovation Day 2024

Embracing Creativity and Innovation: A Pathway to Progress

Celebrating World Creativity and Innovation Day 2024

GUEST POST from Art Inteligencia

In a world that is constantly changing, the only constant is the need for creativity and innovation. As we celebrate World Creativity and Innovation Day, it’s essential to recognize that these two forces are the lifeblood of human advancement and the cornerstone of sustainable development.

Creativity is not just about artistic endeavors; it’s a mindset that enables us to see the world differently, to challenge the status quo, and to envision what could be. Innovation, on the other hand, is the process of turning those creative ideas into tangible solutions that drive value and impact.

Recent Innovations Shaping Our World

We live in an era where innovation is not just about creating new products; it’s about redefining possibilities. Let’s look at some recent innovations that exemplify this spirit:

  1. The Leap in AI: With the advent of models like OpenAI’s GPT-4, we’ve seen a quantum leap in artificial intelligence 1. These AI systems are not only transforming how we interact with technology but also how we solve complex problems and generate creative content.
  2. Sustainable Energy Solutions: Innovations like salt-water-powered electric generators are paving the way for sustainable energy solutions, demonstrating that we can harness the power of nature in harmony with technological advancement 2.
  3. Advances in Medical Technology: The development of the COVID-19 vaccines in record time is a testament to human ingenuity and the collaborative spirit of the global scientific community 3. It shows that when faced with a common enemy, creativity and innovation can lead to groundbreaking solutions.

The Role of Creativity in Innovation

Creativity is the starting point of innovation. It’s about looking beyond what is and imagining what could be. It’s about connecting the dots in new ways and bringing diverse perspectives together to spark breakthrough ideas.

As we observe World Creativity and Innovation Day, let’s remember that each one of us has the potential to contribute to this creative process. Whether it’s through developing new technologies, designing more sustainable systems, or simply finding better ways to do our daily tasks, we all have a role to play.

Fostering a Culture of Innovation

To truly harness the power of creativity and innovation, we must foster a culture that encourages experimentation, embraces failure as a learning opportunity, and rewards out-of-the-box thinking. Organizations and societies that cultivate these values will be the ones leading the charge in the 21st century.

Conclusion

As we honor the spirit of World Creativity and Innovation Day, let’s commit to nurturing our creative abilities and pushing the boundaries of what’s possible. Let’s continue to innovate for a better world, one where sustainable development and human-centric solutions lead the way.

Remember, creativity is not the privilege of a select few; it’s a universal trait that we all share. And innovation is not just about technology; it’s about improving lives and creating a future that we can all look forward to.

Let’s keep the flame of creativity and innovation burning bright, for it is the beacon that will guide us to a brighter tomorrow.

This article aims to capture the essence of Braden Kelley’s thought leadership, emphasizing the importance of creativity and innovation in driving progress and addressing global challenges. It’s a call to action for all of us to embrace our creative potential and contribute to a more innovative and sustainable future.

Bottom line: 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: Bing Dall-E

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What Have We Learned About Digital Transformation?

What Have We Learned About Digital Transformation?

GUEST POST from Geoffrey A. Moore

We are well into our first decade of digital transformation, with both the successes and the scars to show for it, and we can see there is a long way to go. Realistically, there is probably never a finish line, so I think it is time for us to pause and take stock of what we have learned, and how best we can proceed from here. Here are three lessons to take to heart.

Lesson 1: There are three distinct levels of transformation, and operating model transformation is the one that deserves the most attention.

Geoffrey Moore Three Models

The least disruptive transformation is to the infrastructure model. This should be managed within the Productivity Zone, where to be fair, the disruption will be considerable, but it should not require much in the way of behavior change from the rest of the enterprise. Moving from data centers to cloud computing is a good example, as are enabling mobile applications and remote work centers. The goal here is to make employees more efficient while lowering total cost of IT ownership. These transformations are well underway, and there is little confusion about what next steps to take.

By contrast, the most disruptive transformation is to the business model. Here a company may be monetizing information derived from its operating model, as the SABRE system did for American Airlines, or overlaying a digital service on top of its core offering, as the automotive makers are seeking to do with in-car entertainment. The challenge here is that the economics of the new model have little in common with the core model, which creates repercussions both with internal systems and external ecosystem relationships. Few of these transformations to date can be said to be truly successful, and my view is they are more the exception than the rule.

The place where digital transformation is having its biggest impact is on the operating model. Virtually every sector of the economy is re-engineering its customer-facing processes to take advantage of ubiquitous mobile devices interacting with applications hosted in the cloud. These are making material changes to everyday interactions with customers and partners in the Performance Zone, where the priority is to improve effectiveness first, efficiency second. The challenge is to secure rapid, consistent, widespread adoption of the new systems from every employee who touches them. More than any other factor, this is the one that separates the winners from the losers in the digital transformation game.

Lesson 2: Re-engineer operating models from the outside in, not the inside out.

A major challenge that digital transformation at the operating model level must overcome is the inertial resistance of the existing operating model, especially where it is embedded in human behaviors. Simply put, people don’t like change. (Well, actually, they all want other people to change, just not themselves.) When we take the approach of internal improvement, things go way too slowly and eventually lose momentum altogether.

The winning approach is to focus on an external forcing function. For competition cultures, the battle cry should be, this new operating model poses an existential threat to our future. Our competitors are eating our lunch. We need to change, and we need to do it now! For collaboration cultures, the call to action should be, we are letting our customers down because we are too hard to do business with. They love our offers, but if we don’t modernize our operating model, they are going to take their business elsewhere. Besides, with this new digital model, we can make our offers even more effective. Let’s get going!

This is where design thinking comes in. Forget the sticky notes and lose the digital whiteboards. This is not about process. It is about walking a mile in the other person’s shoes, be that an end user, a technical buyer, a project sponsor, or an implementation partner, spending time seeing what hoops they have to go through to implement or use your products or simply to do business with you. No matter how good you were in the pre-digital era, there will be a ton of room for improvement, but it has to be focused on their friction issues, not yours. Work backward from their needs and problems, in other words, not forward from your intentions or desires.

Lesson 3: Digital transformations cannot be pushed. They must be pulled.

This is the hardest lesson to learn. Most executive teams have assumed that if they got the right digital transformation leader, gave them the title of Chief Transformation Officer, funded them properly, and insured that the project was on time, on spec, and on budget, that would do the trick. It makes total sense. It just doesn’t work.

The problem is one endemic to all business process re-engineering. The people whose behavior needs to change—and change radically—are the ones least comfortable with the program. When some outsider shows up with a new system, they can find any number of things wrong with it and use these objections to slow down deployment, redirect it into more familiar ways, and in general, diminish its impact. Mandating adoption can lead to reluctant engagement or even malicious compliance, and the larger the population of people involved, the more likely this is to occur.

So what does work? Transformations that are driven by the organization that has to transform. These start with the executive in charge who must galvanize the team to take up the challenge, to demand the digital transformation, and to insert it into every phase of its deployment. In other words, the transformation has to be pulled, not pushed.

Now, don’t get me wrong. There is still plenty of work on the push side involved, and that will require a strong leader. But at the end of the day, success will depend more on the leader of the consuming organization than that of the delivery team.

That’s what I think. What do you think?

Image Credit: Pexels, Geoffrey Moore

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Embrace the Art of Getting Started

Embrace the Art of Getting Started

GUEST POST from Mike Shipulski

What do we do next? I don’t know

  • What has been done before?
  • What does it do now?
  • What does it want to do next?
  • If it does that, who cares?

Why should we do it? I don’t know.

  • Will it increase the top line? If not, do something else.
  • Will it increase the bottom line? If so, let someone else do it.
  • What’s the business objective?

Who will buy it? I don’t know.

    • How will you find out?
    • What does it look like when you know they’ll buy it?
    • Why do you think it’s okay to do the work before you know they’ll buy it?

What problem must be solved? I don’t know.

      • How will you define the problem?
      • Why do you think it’s okay to solve the problem before defining it?
      • Why do you insist on solving the wrong problem? Don’t you know that ready, fire, aim is bad for your career?
      • Where’s the functional coupling? When will you learn about Axiomatic Design?
      • Where is the problem? Between which two system elements?
      • When does the problem happen? Before what? During what? After what?
      • Will you separate in time or space?
      • When will you learn about TRIZ?

Who wants you to do it? I don’t know.

      • How will you find out?
      • When will you read all the operating plans?
      • Why do you think it’s okay to start the work before knowing this?

Who doesn’t want you to do it? I don’t know.

      • How will you find out?
      • Who looks bad if this works?
      • Who is threatened by the work?
      • Why do you think it’s okay to start the work before knowing this?

What does it look like when it’s done? I don’t know.

Why do you think it’s okay to start the work before knowing this?

What do you need to be successful? I don’t know.

Why do you think it’s okay to start the work before knowing this?

Starting is essential, but getting ready to start is even more so.

Image credit: misterinnovation.com

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Never Stop Looking for Improvement

Never Stop Looking for Improvement

GUEST POST from Shep Hyken

If it’s working fine, why mess with it?

Well, whatever “it” is may work just fine, but that doesn’t mean it couldn’t be better.

This idea came to me as I read an article about United Airlines changing the way passengers board the plane. Most airlines put passengers in groups and call them in order. United will continue doing this but make changes to some of the groups. First-class passengers and higher-level frequent fliers won’t notice, but there will be a change once Group 4 is called. Passengers with window seats will board first, followed by passengers in middle seats, and eventually, passengers with aisle seats. This new process will save two minutes.

Now, you might be thinking, “Two minutes. Big deal!” But, in the airline business, two minutes is a big deal. A mismanaged boarding process could delay the departure and cause disruptions throughout the day. So, while two minutes may not seem like much, the goal is to always look for ways to streamline an often chaotic process.

Improvement Cartoon of Shep Hyken

This story has at least two lessons. First, every company should tinker with what’s working by experimenting and looking for better ways to do “what they’ve always done,” even if it’s working. And second, small changes can add up to make a bigger difference when combined.

So, you have two choices:

  1. Do it the way you’ve always done it. Don’t question it. If it works, don’t try to change it. Unfortunately, many companies operate this way and miss opportunities to improve.
  2. Always look to improve everything, even when it’s working well. It doesn’t matter how long you’ve been doing something that works, come back on a regular basis – maybe annually – and take a closer look. This is an excellent way to use a Journey Map. Look at every interaction point a customer has with your organization and ask, “Is there a way to make it better?” While there may not be a better way today, keep asking the question; you might find one over time.

Zig Ziglar, the famous motivational speaker, used to tell a story of a little girl who asked her mom, “Why do we cut the end off the roast before we put it in the oven?” Mom answered, “Because that’s how your grandmother taught me to cook it.” So, the little girl went to her grandmother and asked the same question. Grandma answered, “Because that’s how your great-grandmother taught me.” So, the little girl went to her great-grandmother and asked the same question. Great Grandma responded, “Because back then, the ovens were smaller than they are today, so we had to cut off the end to get it to fit.”

The moral of the story is if something worked yesterday, that doesn’t mean it’s the best thing to do today. Always look for improvement.

Image Credits: Shep Hyken, Pexels

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