Tag Archives: ideas

Top 10 Human-Centered Change & Innovation Articles of June 2025

Top 10 Human-Centered Change & Innovation Articles of June 2025Drum roll please…

At the beginning of each month, we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. Did your favorite make the cut?

But enough delay, here are June’s ten most popular innovation posts:

  1. Why Business Transformations Fail — by Robyn Bolton
  2. Three Ways Strategic Idleness Accelerates Innovation and Growth — by Robyn Bolton
  3. Overcoming the Fear of Innovation Failure — by Stefan Lindegaard
  4. Making People Matter in AI Era — by Janet Sernack
  5. Yes the Comfort Zone Can Be Your Best Friend — by Stefan Lindegaard
  6. Your Digital Transformation Starting Point — by Braden Kelley
  7. Learn More About the Problem Before Trying to Solve It — by Mike Shipulski
  8. Putting Human Agency at the Center of Decision-Making — by Greg Satell
  9. Innovation or Not – SpinLaunch — by Art Inteligencia
  10. Team Motivation Does Not Have to be Hard — by David Burkus

BONUS – Here are five more strong articles published in May that continue to resonate with people:

If you’re not familiar with Human-Centered Change & Innovation, we publish 4-7 new articles every week built around innovation and transformation insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook, Twitter or Linkedin feeds too!

Build a Common Language of Innovation on your team

Have something to contribute?

Human-Centered Change & Innovation is open to contributions from any and all innovation and transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have valuable human-centered change and innovation insights to share with everyone for the greater good. If you’d like to contribute, please contact me.

P.S. Here are our Top 40 Innovation Bloggers lists from the last four years:

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You Already Have Too Many Ideas

You Already Have Too Many Ideas

GUEST POST from Mike Shipulski

Innovation isn’t achieved by creating more ideas. Innovation is realized when ideas are transformed into commercialized products and services. Innovation is realized when ideas are transformed into new business models that deliver novel usefulness to customers and deliver increased revenues to the company.

In a way, creating ideas that languish in their own shadow is worse than not creating any ideas at all. If you don’t have any ideas, at least you didn’t spend the resources to create them and you don’t create the illusion that you’re actually making progress. In that way, it’s better to avoid creating new ideas if you’re not going to do anything with them. At least your leadership team will not be able to rationalize that everything will be okay because you have an active idea generation engine.

Before you schedule your next innovation session, don’t. Reason 1 – it’s not an innovation session, it’s an ideation session. Reason 2 – you don’t have resources to do anything with the best ideas so you’ll spend the resources and nothing will come of it. To improve the return on investment, don’t make the investment because there will be no return.

Truth is, you already have amazing ideas to grow your company. Problem is, no one is listening to the people with the ideas. And the bigger problem – because no one listened over the last ten years, the people with the ideas have left the company or stopped trying to convince you they have good ideas. Either way, you’re in trouble and creating more ideas won’t help you. Your culture is such that new ideas fall on deaf ears and funding to advance new concepts loses to continuous improvement.

If you do want to hold an ideation event to create new ideas that will reinvent your company, there are ways to do it effectively. First, define the customer of the ideation event. This is the person who is on the hook to commercialize things that will grow the business. This is the person who will have a career problem if ideas aren’t implemented. This is the person who can allocate the resources to turn the ideas into commercialized products, services. If this person isn’t an active advocate for the ideation event, don’t hold it. If this person will not show up to the report out of the ideation event, don’t hold it. If this person does not commit to advancing the best ideas, don’t hold the event.

Though innovation and ideas start with “i”, they’re not the same. Ideas are inexpensive to create but deliver no value. Innovation is expensive and delivers extreme value to customers and the company. If you’re not willing to convert the ideas into something that delivers values to customers, save the money and do continuous improvement. Your best people will leave, but at least you won’t waste money on creating ideas that will die on the vine.

If the resources aren’t lined up to run with the ideas, don’t generate the them. If you haven’t allocated the funding for the follow-on work, don’t create new ideas. If the person who is charged with growing the business isn’t asking for new ideas, don’t hold the ideation event.

You already have too many ideas. But what you lack is too few active projects to convert the best ideas into products and services that generate value for your customers and growth for your company.

Stop creating new ideas and start delivering novel usefulness to your customers.

Image credit: Unsplash

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Should We Stop Asking Employees to Innovate?

Should We Stop Asking Employees to Innovate?

GUEST POST from Stefan Lindegaard

I recently revisited a comment from one of my older posts on how to train and educate executives on innovation. It went something like this:

“Innovation requires time and drive to explore new vistas, so it’s understandable that busy employees can’t be bothered with it. The best approach is for senior managers to assign a team, giving them the time and resources to innovate.”

While I agree that dedicated innovation teams with the right resources are crucial, the notion that “busy employees can’t be bothered” with innovation is not just dangerous, it’s short-sighted.

If leaders believe innovation is only for a select few, it signals that innovation isn’t truly a priority. And in today’s fast-evolving landscape, companies that don’t prioritize innovation throughout their ranks are setting themselves up for stagnation.

Here are a few of my thoughts on the matter:

1. Innovation isn’t just for the few, it’s for everyone – strategically.

Not every employee needs to work on breakthrough innovation, but every employee should have the opportunity to contribute. Whether through idea portals, hackathons, or innovation challenges, businesses should create accessible ways for employees to share their ideas and build on others’.

2. Innovation should happen in the day-to-day.

Often, the best innovations come from employees focused on improving their immediate environment. This type of incremental innovation – refining processes, enhancing services, or finding small but impactful efficiencies – should happen at the business unit level. Meanwhile, dedicated teams can tackle more disruptive and higher-risk projects with a long-term payoff.

3. It’s time to re-frame innovation.

The term “innovation” has become vague and overused. Consider a term like “impact” as a way to shift the focus from concepts to tangible results. Impact is measurable and reflects the outcome, not just the process. After all, what matters isn’t innovation for its own sake, but the meaningful change it brings.

Finally, corporate innovation teams should shift their roles from doers to facilitators and integrators – empowering business units to innovate while connecting internal and external resources. Collaboration, both within and outside the organization, accelerates innovation, increasing diversity of thought and speeding up results.

Scaling innovation across the company is a collective effort, not a siloed one.

What’s your take on this?

Image Credits: Pexels

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Top 10 Human-Centered Change & Innovation Articles of March 2025

Top 10 Human-Centered Change & Innovation Articles of March 2025Drum roll please…

At the beginning of each month, we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. Did your favorite make the cut?

But enough delay, here are March’s ten most popular innovation posts:

  1. Turning Bold Ideas into Tangible Results — by Robyn Bolton
  2. Leading Through Complexity and Uncertainty — by Greg Satell
  3. Empathy is a Vital Tool for Stronger Teams — by Stefan Lindegaard
  4. The Role Platforms Play in Business Networks — by Geoffrey A. Moore
  5. Inspiring Innovation — by John Bessant
  6. Six Keys to Effective Teamwork — by David Burkus
  7. Product-Lifecycle Management 2.0 — by Dr. Matthew Heim
  8. 5 Business Myths You Cannot Afford to Believe — by Shep Hyken
  9. What Great Ideas Feel Like — by Mike Shipulski
  10. Better Decision Making at Speed — by Mike Shipulski

BONUS – Here are five more strong articles published in February that continue to resonate with people:

If you’re not familiar with Human-Centered Change & Innovation, we publish 4-7 new articles every week built around innovation and transformation insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook, Twitter or Linkedin feeds too!

SPECIAL BONUS: While supplies last, you can get the hardcover version of my first bestselling book Stoking Your Innovation Bonfire for 44% OFF until Amazon runs out of stock or changes the price. This deal won’t last long, so grab your copy while it lasts!

Build a Common Language of Innovation on your team

Have something to contribute?

Human-Centered Change & Innovation is open to contributions from any and all innovation and transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have valuable human-centered change and innovation insights to share with everyone for the greater good. If you’d like to contribute, please contact me.

P.S. Here are our Top 40 Innovation Bloggers lists from the last four years:

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What Great Ideas Feel Like

What Great Ideas Feel Like

GUEST POST from Mike Shipulski

If you have a reasonably good idea, someone will steal it, make it their own and take credit. No worries, this is what happens with reasonably good ideas.

If you have a really good idea, you’ll have to explain it several times before anyone understands it. Then, once they understand, you’ll have to help them figure out how to realize value from the idea. And after several failed attempts at implementation, you’ll have to help them adjust their approach so they can implement successfully. Then, after the success, someone will make it their own and take credit. No worries, this is what happens with really good ideas.

When you have an idea so good that it threatens the Status Quo, you’ll get ridiculed. You’ll have to present the idea once every three months for two years. The negativity will decrease slowly, and at the end of two years the threatening idea will get downgraded to a really good idea. Then it will follow the wandering path to success described above. Don’t feel special. This is how it goes with ideas good enough to threaten.

And then there’s the rarified category that few know about. This is the idea that’s so orthogonal it scares even you. This idea takes a year or two of festering before you can scratch the outer shell of it. Then it takes another year before you can describe it to yourself. And then it takes another year before you can bring yourself to speak of it. And then it takes another six months before you share it outside your trust network. And where the very best ideas get ridiculed, with this type of idea people don’t talk about the idea at all, they just think you’ve gone off the deep end and become unhinged. This class of idea is so heretical it makes people uncomfortable just to be near you. Needless to say, this class of idea makes for a wild ride.

Good ideas make people uncomfortable. That’s just the way it is. But don’t let this get in the way. More than that, I urge you to see the push-back and discomfort as measures of the idea’s goodness.

If there’s no discomfort, ridicule or fear, the idea simply isn’t good enough.

Image credits: misterinnovation.com (1 of 850+ free quote slides for download)

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Stop Doubling Down on Bad Ideas

Stop Doubling Down On Bad Ideas

GUEST POST from Greg Satell

Over the course of my career, I’ve had the opportunity to lead a number of organizations and each one involved a series of steep learning curves. Even the most successful operations do some things poorly, so managing an enterprise involves constant improvement. You always want to figure out where you can do things better.

One way to do that is to identify other organizations that do something well and adopt best practices. Copying what others do won’t make you world class, but it will get you started on the right road. Over time, you can learn which practices are a good fit for your organization and which are not. As you progress, you can begin to develop your own capabilities.

What you don’t want to do is to take bad ideas that have failed try and force them through, yet it happens all the time. Business pundits and consultants don’t stop selling zombie ideas just because they don’t work and people don’t stop getting taken in by slick sales jobs. We need to be much more discerning about the ideas we adopt. Here are some to watch out for.

The War On Talent

When some McKinsey consultants came up with the idea of a war for talent in 1998, it made a lot of sense. In a knowledge economy, your people are your greatest resource. Creating a culture of excellence, rewarding top employees and pruning out the laggards just seemed like such an obvious formula for success that few questioned it.

However, even early on some began to see flaws. Just a few years after McKinsey launched the concept, Stanford’s Jeffrey Pfeffer explained how study after study refuted the “War for Talent” hypothesis. He found that firms who followed the “talent war mind set” ended up actually undermining their people and overemphasizing recruiting from outside.

Even worse, McKinsey’s approach often creates a corrosive culture. By valuing individual accomplishment over teamwork, leaders set up a competitive dynamic that discourages collaboration while sabotaging the knowledge transfer that promotes learning new skills and improves performance. In a New Yorker article, Malcolm Gladwell explained how that kind of competitive dynamic contributed to Enron’s downfall.

The truth is that you don’t need the best people, you need the best teams and that requires a very different approach. Fostering collaboration requires an environment of psychological safety, not a series of performance review cage matches. Talent isn’t something you attract and bid for, it is something you build.

The Cult Of Disruption

It’s become fashionable to say that we live in a VUCA world (Volatile, Uncertain, Complex and Ambiguous). The term first arose in the aftermath of the Cold War, when a relatively stable conflict between two global superpowers fragmented into a multipolar multiethnic clash of civilizations. Today, however, it has become so firmly entrenched in the business lexicon that nobody even thinks to question it. Change has become gospel.

If you see the world in turmoil, the only sensible strategy is to constantly change and adapt. Perhaps just as importantly, in a corporate setting you need to be seen as changing and adapting. In this environment, managers have significant incentives to launch multiple initiatives aimed at transforming every aspect of the enterprise.

Yet do businesses really face a VUCA environment? The evidence seems to point in the opposite direction. A Brookings report showed that business has become less dynamic, with less churn among industry leaders and fewer new entrants. Research from the National Bureau of Economic Research found decreased competitive environments. A report from the IMF also suggests that these trends have worsened during the pandemic.

Make no mistake, all of the happy talk about change has a real cost. A study undertaken by PwC found that 65% of executives surveyed complained about change fatigue, and only about half felt their organization could deliver change successfully. 44% said that they don’t understand the change they’re being asked to make, and 38% say they don’t agree with it.

Perhaps not surprisingly, it found that most people have come to view new transformation initiatives suspiciously, taking a “wait and see” attitude undermining the momentum and leading to a”boomerang effect” in which early progress is reversed when leadership moves on to focus other priorities. In other words, we’re basically talking change to death.

Marching On Washington

The March on Washington remains one of the most iconic moments in American history. Martin Luther King Jr.’s “I Have A Dream” speech continues to inspire people around the world. The events of that day surely contributed to the successful passage of the Civil Rights Act of 1965 and made the world a better place.

So it’s no wonder that it seems like every time someone has an idea for change they plan a march. Yet the most salient aspect of over 100 years of marches on Washington is that none, except that one in 1963, have really accomplished much. In fact the very first one, in support of women’s suffrage in 1913, was a full blown disaster.

It’s not just social revolutionaries that make this mistake. Corporate change advocates have their own version of marching on Washington. They set up a big kickoff event to “create a sense of urgency” around change and use stark language like “innovate or die” and “burning platform” to make change seem inevitable.

The problem is that if a change is important and has real potential to impact what people believe and what they do, there will always be those who will hate it and they will work to undermine it in ways that are dishonest, underhanded and deceptive. Creating a lot of noise at the beginning of an initiative, before any real progress has been made, just gives your opposition a head start in their efforts to kill it off.

Closing The Knowing-Doing Gap

Business today moves fast. So we like simple statements that speak to larger truths. It always seems that if we can find a simple rule of thumb—or maybe 3 to 5 bullet points for the really big picture stuff—managing a business would be much easier. Whenever a decision needs to be made, we could simply refer to the rule and go on with our day.

Unfortunately, that often leads to cartoonish slogans rather than genuine managerial wisdom. Catchy ideas like “the war for talent,” “a VUCA world” and “creating a sense of urgency around change” end up taking the place of thorough analysis and good sense. When that happens, we’re in big trouble.

The problem is, as Ludwig Wittgenstein pointed out, “no course of action can be determined by a rule, because any course of action can be made out to accord with the rule.” Rules often appear to make sense on the surface, but when we try to apply them in the real world we run into trouble. We live in a complex universe and oversimplifying it leads us astray.

We need to stop worshiping the cult of ideas and start focusing on the problems we need to solve. The truth is that the real world is a confusing place. We have little choice but to walk the earth, pick things up along the way and make the best judgments we can. The decisions we make are highly situational and defy hard and fast rules. There is no algorithm for life. You have to actually live it, see what happens and learn from your mistakes.

— Article courtesy of the Digital Tonto blog
— Image credits: Unsplash

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Top 10 Human-Centered Change & Innovation Articles of September 2024

Top 10 Human-Centered Change & Innovation Articles of September 2024Drum roll please…

At the beginning of each month, we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. Did your favorite make the cut?

But enough delay, here are September’s ten most popular innovation posts:

  1. Three Reasons Nobody Cares About Your Ideas — by Greg Satell
  2. Six Key Habits of Great Leaders — by David Burkus
  3. Are You Leading in the Wrong Zone? — by Geoffrey A. Moore
  4. Projects Don’t Go All Right or All Wrong — by Howard Tiersky
  5. How to Cultivate Respect as a Leader — by David Burkus
  6. What is Your Mindset? Fixed, Growth or Hybrid? — by Stefan Lindegaard
  7. Embracing Failure is a Catalyst for Learning and Innovation — by Stefan Lindegaard
  8. ISO Innovation Standards — by Robyn Bolton
  9. The Hidden Cost of Waiting — by Mike Shipulski
  10. AI Requires Conversational Intelligence — by Greg Satell

BONUS – Here are five more strong articles published in August that continue to resonate with people:

If you’re not familiar with Human-Centered Change & Innovation, we publish 4-7 new articles every week built around innovation and transformation insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook, Twitter or Linkedin feeds too!

SPECIAL BONUS – THREE DAYS ONLY: From now until 11:59PM ET you can get either the eBook or the hardcover version of the SECOND EDITION of my latest bestselling book Charting Change for 50% OFF using code FLSH50. This deal won’t last long, so grab your copy while supplies last!

Accelerate your change and transformation success

Have something to contribute?

Human-Centered Change & Innovation is open to contributions from any and all innovation and transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have valuable human-centered change and innovation insights to share with everyone for the greater good. If you’d like to contribute, please contact me.

P.S. Here are our Top 40 Innovation Bloggers lists from the last four years:

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Why Organizations Struggle with Innovation

Why Organizations Struggle with Innovation

GUEST POST from Howard Tiersky

We all know the world is changing rapidly. It’s clear that in order for organizations to remain relevant to the next generation of customers, and even in the next generation of technology, we must adapt, evolve and transform. The field is littered with once-great companies who failed to do this: Blackberry, Nokia, Kodak, Borders, Western Union, Blockbuster, Polaroid.

But accepting major change, or even in some cases small changes, isn’t easy for large companies. At Innovation Loft we’ve worked with scores of major brands on their efforts to conceive, create and launch new products, enter new markets, redefine their value propositions and distribution strategies, and address various types of transformations. We’ve seen some spectacular successes and some tragic near misses. In watching these innovation stories unfold, we’ve concluded that there are three key reasons why innovations fail.

Three Key Reasons Innovations Fail:

  1. The Wrong Idea
  2. Failure to Execute
  3. Sabotage!

It’s important to keep these three domains of risk in mind when approaching any innovation project, and a lot of our work at Innovation Loft is focused on how to manage and mitigate risks in each of these three categories. Let’s look at these one at a time:

1. The Wrong Idea

Change is not always good. New is not always popular. How can you tell the right ideas from the wrong ones? Here are a few practices that can make a big difference.

Focus on Customer Needs

It may seem like Apple has made its success on delivering customers new capabilities they “didn’t know they needed.” And that may be true in the sense that if you had asked customers, they might not have articulated a desire for an iPod or an iPad. However, if you focused on observing consumers in their day-to-day interactions back then, the challenge of dealing with dozens or more CDs, and the decision about which ones to bring clearly created a “pain point.” Fast forward a few years. People trying to curl up with their laptop in bed to watch a movie was clearly awkward, and watching a movie on a small iPhone was also sub-optimal. Apple identified gaps they could fill. Many unsuccessful ideas lack a clear customer value proposition and are based on the assumptions of a benefit consumers will eventually realize.

Test and Iterate

Think of product development as a spiral. Test the simplest, lowest-cost version of your product (even if it’s a paper mockup) to get early feedback from users. Continue that process each step of the way, through launch and beyond, to really understand how consumers are using your product and where it may need improvement.

Pivot

Ultimately, don’t fall in love with your idea. Focus on the value you can create for your customers. Even with the first two points in this list, you can still find yourself launching the wrong idea. That’s the risk of innovation. In a large corporate environment, it’s important to set the expectation up front that there will be flexibility on redefining the product, even substantially, as the project goes on. While this approach may not be consistent with typical enterprise “capital budgeting” processes, it’s critical to the success of innovative projects.

2. Failure to Execute

Even if you have the right idea, you can fail to execute. Effective execution is measured by quality, speed, and communication.

Quality: Does the product fulfill the vision? An initial version of a product may not be as feature-rich as future releases (the original iPhone did not allow copy and paste, let alone the downloading of apps!) The key test is not comprehensive features but doing a few things very well.

Speed: In a world of innovation, we are always in competition. At the initial launch of Android, it was clearly behind the curve compared to iOS. Over time, Android was able to catch up and eventually exceed iOS sales. The two remain locked in an arms race for higher standards and better capabilities, and the timing of improvements clearly has a substantial impact. Nevertheless, Android’s story demonstrates that even with a late start, one can catch up. Kyocera and Nokia were in the market with smartphones several years before Apple.

Communication: Peter Drucker said, “Business has just two functions: innovation and marketing.” The two must go hand-in-hand. Apple’s genius has been the marriage of a great product with great communication.

3. Sabotage

Companies are designed to resist change. Classic business books define how organizations must specify roles and clear processes for how to operate. But this resistance to change is misplaced when it comes to innovation. We’ve seen many great projects killed in infancy, or even after launch and initial success, due to areas of an organization whose interests would be threatened by the success of that transformation.

If a new product or project is truly going to be transformational for your company, expect it to have enemies. These enemies’ very survival (or their perception of it) may be at stake. Many innovative products that were on the path to “saving the company” are killed through internal sabotage. As soon as there is any misstep in an innovation initiative — as there always is — forces are ready to pounce and convince the powers-that-be that it’s time to “put it out of its misery.” Can you imagine Apple killing the iPhone over Antennaegate or the Apple Maps debacle?

How can you avoid sabotage? One tactic is trying to gain as much organizational alignment as possible during each step of the innovation process. Don’t assume that because a solution seems “obvious” to your team that others will automatically support it. Involving key executives, in addition to as many parts of the organization as possible, will garner more support. Give team members the chance to participate and feel ownership of the initiative. In the words of Harry Truman:

“It’s amazing what you can accomplish if you don’t care who gets the credit.”

So how do you figure out the right answer, get everyone on the same page, and focus on a common innovation goal? At FROM, we use a specific model to approach the process of identifying the most relevant opportunity areas for innovation, and to build group consensus around the best approach. You’ll have to adapt it to your situation, but the model should provide a good starting framework.

This article originally appeared on the Howard Tiersky blog
Image Credits: Unsplash

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Top 10 Human-Centered Change & Innovation Articles of July 2023

Top 10 Human-Centered Change & Innovation Articles of July 2023Drum roll please…

At the beginning of each month, we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. Did your favorite make the cut?

But enough delay, here are July’s ten most popular innovation posts:

  1. 95% of Work is Noise — by Mike Shipulski
  2. Four Characteristics of High Performing Teams — by David Burkus
  3. 39 Digital Transformation Hacks — by Stefan Lindegaard
  4. How to Create Personas That Matter — by Braden Kelley
  5. The Real Problem with Problems — by Mike Shipulski
  6. A Triumph of Artificial Intelligence Rhetoric — by Geoffrey A. Moore
  7. Ideas Have Limited Value — by Greg Satell
  8. Three Cognitive Biases That Can Kill Innovation — by Greg Satell
  9. Navigating the AI Revolution — by Teresa Spangler
  10. How to Make Navigating Ambiguity a Super Power — by Robyn Bolton

BONUS – Here are five more strong articles published in June that continue to resonate with people:

If you’re not familiar with Human-Centered Change & Innovation, we publish 4-7 new articles every week built around innovation and transformation insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook, Twitter or Linkedin feeds too!

Have something to contribute?

Human-Centered Change & Innovation is open to contributions from any and all innovation and transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have valuable human-centered change and innovation insights to share with everyone for the greater good. If you’d like to contribute, please contact me.

P.S. Here are our Top 40 Innovation Bloggers lists from the last three years:

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.

Accelerating Innovation Cycles with AI

From Idea to Impact

Accelerating Innovation Cycles with AI

GUEST POST from Chateau G Pato

The innovation landscape has always been a race against time. Ideas are plentiful, but transforming them into tangible impact—a new product, an optimized process, a groundbreaking service—often involves arduous cycles of research, development, testing, and refinement. In today’s hyper-competitive, human-centered world, this pace is simply no longer sufficient. As a thought leader in change and innovation, I believe the single most powerful accelerator for these cycles is Artificial Intelligence. AI isn’t just a tool; it’s a paradigm shift, enabling us to move from nascent concepts to measurable outcomes with unprecedented speed and precision.

For too long, the innovation journey has been characterized by bottlenecks: manual data analysis, slow prototyping, biased feedback interpretation, and iterative development that could stretch for months or even years. AI offers a compelling antidote to these challenges, supercharging every phase of the innovation process. It’s about augmenting human creativity and insight, not replacing it, allowing our teams to focus on the truly strategic and empathetic aspects of innovation while AI handles the heavy lifting of data crunching, pattern recognition, and rapid iteration.

The AI Accelerator: How AI Transforms Each Stage of Innovation

The true power of AI in innovation lies in its ability to enhance and speed up various stages of the innovation cycle:

  • Discovery & Ideation: AI can rapidly analyze vast datasets—market trends, customer feedback, scientific research, patent databases—to identify emerging white spaces, unmet needs, and potential synergies that human teams might miss. Generative AI can even assist in brainstorming novel concepts, providing diverse starting points for human ingenuity.
  • Concept Development & Prototyping: AI-powered design tools can generate multiple design variations based on specified parameters, simulate performance, and even create virtual prototypes in a fraction of the time it would take human designers. This allows for faster testing of diverse ideas.
  • Validation & Testing: Predictive AI models can forecast market reception for new products or features by analyzing historical data and customer behavior, reducing the need for extensive, costly live testing. AI can also analyze user feedback (sentiment analysis) from early tests to quickly identify areas for improvement.
  • Optimization & Launch: AI can optimize product features, pricing strategies, and marketing campaigns in real-time, learning from live data to maximize impact post-launch. For internal process innovations, AI can identify inefficiencies and suggest optimal workflows.
  • Learning & Iteration: Post-launch, AI continuously monitors performance, identifies emerging patterns in customer usage, and suggests further improvements or next-gen features, effectively creating a perpetual feedback loop for continuous innovation.

“AI doesn’t just speed up innovation; it fundamentally redefines the possible, turning months into days and guesses into data-driven insights.”

Human-Centered AI for Innovation: A Crucial Distinction

It’s vital to emphasize that integrating AI into innovation must remain human-centered. The goal is not to automate innovation away from people, but to empower people to innovate better, faster, and with greater impact. AI should serve as an invaluable co-pilot, handling the computational burden so that human teams can focus on:

  • Empathy and Understanding: Interpreting the emotional nuances of customer needs that AI cannot grasp.
  • Strategic Vision: Setting the direction, defining the ethical guardrails, and making the ultimate strategic decisions.
  • Creative Problem-Solving: Leveraging AI’s insights to spark truly original, human-relevant solutions.

Case Study 1: Pharma Research Acceleration with AI (BenevolentAI)

The Challenge:

Drug discovery is notoriously slow, expensive, and high-risk. Identifying potential drug candidates for specific diseases often takes years of laborious research, involving sifting through vast amounts of scientific literature and conducting countless lab experiments. The human-driven cycle from initial idea to clinical trial could span a decade or more.

AI as an Accelerator:

BenevolentAI, a leading AI drug discovery company, uses its platform to accelerate this process dramatically. Their AI system can:

  • Analyze Scientific Literature: Rapidly process and understand millions of scientific papers, clinical trial results, and proprietary datasets to identify relationships between genes, diseases, and potential drug compounds that human scientists might overlook.
  • Generate Hypotheses: Propose novel hypotheses for drug targets and disease mechanisms, suggesting existing drugs that could be repurposed or identifying entirely new molecular structures for development.
  • Predict Efficacy and Safety: Use predictive modeling to assess the likelihood of success and potential side effects of drug candidates early in the process, reducing wasted effort on less promising avenues.

The Result:

By leveraging AI, BenevolentAI has significantly reduced the time it takes to identify and validate promising drug candidates. For example, they identified a potential treatment for Parkinson’s disease, successfully repurposing an existing drug, and advancing it to clinical trials in a fraction of the traditional timeframe. This acceleration means getting life-saving treatments to patients faster, transforming the innovation cycle from an agonizing crawl to a rapid, data-driven sprint, all while maintaining strict human oversight and ethical considerations.


Case Study 2: Generative AI in Product Design (Nike)

The Challenge:

Designing high-performance athletic footwear involves a complex interplay of biomechanics, material science, aesthetics, and manufacturing constraints. Iterating on designs to optimize for factors like weight, durability, and shock absorption used to be a time-consuming, manual process involving physical prototypes and extensive testing. The innovation cycle for a new shoe model could take 18-24 months.

AI as an Accelerator:

Companies like Nike have begun integrating generative AI into their product design processes. Generative design algorithms can:

  • Explore Design Space: Given a set of design parameters (e.g., desired weight, material properties, aesthetic guidelines), the AI can rapidly generate hundreds or thousands of unique sole structures or upper designs. These designs often push the boundaries of human intuition, creating novel geometries optimized for performance.
  • Simulate Performance: AI-powered simulation tools can instantly analyze the generated designs for factors like stress points, airflow, and energy return, providing immediate feedback on their potential performance without needing to build physical prototypes.
  • Suggest Material Optimization: The AI can also suggest optimal material combinations or placement to achieve desired characteristics, further speeding up the development process.

The Result:

The integration of generative AI allows Nike’s design teams to explore a vastly larger array of design possibilities and to iterate on ideas at an accelerated pace. What once took weeks or months of manual design and physical prototyping can now be achieved in days. This not only shortens the overall innovation cycle for new footwear (reducing time-to-market) but also leads to more innovative, higher-performing products that better meet the specific needs of athletes. The human designer remains at the helm, guiding the AI and making critical creative choices, but their capabilities are amplified exponentially.


Conclusion: The Future of Innovation is Intelligent

The journey from a raw idea to a market-ready innovation has never been faster, nor more critical. Artificial Intelligence is not merely an optional add-on; it is becoming an essential engine for accelerating innovation cycles across every industry. By intelligently augmenting human capabilities, AI allows organizations to move beyond incremental improvements to truly transformative breakthroughs.

As leaders, our role is to embrace this technological evolution with a human-centered approach. We must leverage AI to free our teams from mundane tasks, empower them with deeper insights, and enable them to focus their unique creativity and empathy where it truly matters. The future of innovation is intelligent, collaborative, and, above all, accelerated. It’s time to harness AI to build a future where every great idea has a fast track to impact.

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: Microsoft CoPilot

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