Category Archives: Innovation

Finding Innovation Gold in a Single Customer Story

The Power of One

Finding Innovation Gold in a Single Customer Story

GUEST POST from Art Inteligencia

We live in the Age of Big Data, where innovation decisions are often filtered through algorithms, heatmaps, and massive statistical models. Leaders demand large-scale surveys and multi-million dollar data warehouses to validate a new direction. Yet, history consistently shows that truly breakthrough ideas rarely emerge from the average — they emerge from the outlier, the extreme user, or the single, compelling narrative that exposes a deep, unmet human need.

This is the Power of One: the profound, catalytic value contained in a single, deeply understood customer story. While Big Data tells us what is happening (correlation), Small Data — the qualitative, ethnographic insight — tells us why it is happening (causation and motivation). For human-centered change and innovation, the Single Customer Story is the most efficient and emotionally resonant path to finding innovation gold.

The Problem with the Average and the Gift of the Outlier

When you design for the average customer, you create an average product. Statistical models, by their nature, normalize outliers. They smooth over the strange, inconvenient behavior that is often a leading indicator of market disruption. If a single customer is using your product in a way it was never intended — that is not a bug; it is a Signal of Innovation. That single story contains a kernel of truth that 10,000 data points will obscure. It reveals the critical gap between what you think your product does and what the human needs it to do.

Innovation thrives in the gap between the status quo and the ideal human experience. The Single Customer Story serves as the emotional bridge that allows a team to move from abstract data points to genuine empathy, driving radical redesign and bypassing organizational inertia.

Three Strategies for Mining the “Power of One”

Leaders must institutionalize practices that deliberately seek out and amplify these singular narratives, transforming anecdotal evidence into strategic insight.

Embrace Observational Research (Ethnography): Instead of relying solely on surveys (which capture conscious opinions), go into the user’s natural environment to observe their unconscious behavior. Watch how they struggle, how they improvise, and where they introduce unnecessary steps. The innovation is often found in the user’s duct tape solution — the hack they use to get around your product’s limitations.
Design for the Extremes, Not the Center: Actively seek out the extreme user. This could be the power user who pushes your limits, the non-user who actively avoids your product, or the person using your product in an unexpected cultural context. Designing a robust solution for a highly complex or unusual need will often simplify and improve the experience for the mainstream user. The extreme user’s story sets the highest bar for innovation.
Institutionalize the Narrative Transfer: A single story is only powerful if it becomes a shared vision. When a team finds a powerful customer narrative, it must be captured as Persona, a Day-in-the-Life Journey Map, or a visceral video and put directly in front of engineers, marketers, and executives. This human input cuts through data silos and provides a shared, emotional imperative for change that abstract data cannot match.

Case Study 1: The Design Fix that Transformed a Financial Software Product

Challenge: Stagnant Adoption of a Financial Software Tool

A B2B software company saw high initial sign-ups for a new financial analysis tool but very low sustained usage. The drop-off rates were massive, but the data offered no explanation for why users abandoned the product after the first week.

The Power of One Intervention:

The Head of Product focused on a single, frustrated junior analyst. By spending a day shadowing this one user, the team discovered that her workflow required her to export data from their tool, import it into Excel, manually clean the data using six specific formulas, and then run the final analysis. The software was saving 20% of her time, but the 20-minute manual data cleaning ritual was the breaking point. The single story revealed the key unmet need: integrated, automated data cleansing. They integrated the analyst’s six formulas directly into the software. This small fix, driven by the qualitative insight of one user, led to a 300% spike in sustained usage and became the flagship feature of a whole new product line.

Case Study 2: Uncovering a Global Market Opportunity in a Remote Village

Challenge: Designing for Remote Infrastructure in Emerging Markets

A global manufacturer was developing a decentralized power source for off-grid communities. Prototypes were too complex and failed in field testing. Market data lacked the crucial context of how people prioritized power usage.

The Power of One Intervention:

An ethnographic team focused on a single family and their local economy in a remote African village. They noticed that the family’s biggest pain point wasn’t general lighting or charging phones; it was the single battery they relied on for a crucial, single use: running a small milling machine to grind grain for the entire community. This task was vital to the village economy, and the battery’s failure was a social crisis. The innovation was not in designing a complex micro-grid, but in designing a simple, hyper-robust, easily repairable “Power Hub” optimized solely for the continuous reliability of that single, high-value, high-impact task. This focus on one critical application, revealed by one village story, unlocked the blueprint for a highly scalable, successful product line across dozens of similar low-infrastructure markets globally.

Conclusion: From Correlation to Causation

Big Data is essential for scale and validation. But Big Ideas are almost always born from the intimacy of Small Data. When you bypass the spreadsheet and spend genuine time with the human experience, you achieve a level of empathy that moves your team from guessing at correlation to knowing the root cause. This is the difference between incremental improvement and market disruption.

“The Power of One is the ultimate antidote to organizational inertia. A single, painful, well-told customer story can override months of contradictory data, mobilize an entire company, and define the next decade of innovation.” — Braden Kelley

Embrace the qualitative journey. Your essential first step: Find the most frustrated, extreme, or resourceful user of your product, sit with them for an hour, and simply watch them work. Then, build the solution to their one painful, repeated problem.

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: Dall-E

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3 Things Politicians Can Do to Create Innovation

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3 Things Politicians Can Do to Create Innovation

GUEST POST from Greg Satell

In the 1960s, the federal government accounted for more than 60% of all research funding, yet by 2016 that had fallen to just over 20%. During the same time, businesses’ share of R&D investment more than doubled from about 30% to almost 70%. Government’s role in US innovation, it seems, has greatly diminished.

Yet new research suggests that the opposite is actually true. Analyzing all patents since 1926, researchers found that the number of patents that relied on government support has risen from 12% in the 1980s to almost 30% today. Interestingly, the same research found that startups benefitted the most from government research.

As we struggle to improve productivity from historical lows, we need the public sector to play a part. The truth is that the government has a unique role to play in driving innovation and research is only part of it. In addition to funding labs and scientists, it can help bring new ideas to market, act as a convening force and offer crucial expertise to private businesses.

1. Treat Knowledge As A Public Good

By 1941, it had become clear that the war raging in Europe would soon envelop the US. With this in mind, Vannevar Bush went to President Roosevelt with a visionary idea — to mobilize the nation’s growing scientific prowess for the war effort. Roosevelt agreed and signed an executive order that would create the Office of Scientific Research and Development (OSRD).

With little time to build labs, the OSRD focused on awarding grants to private organizations such as universities. It was, by all accounts, an enormous success and lead to important breakthroughs such as the atomic bomb, proximity fuze and radar. As the war was winding down, Roosevelt asked Bush to write a report to continue OSRD’s success peacetime.

That report, titled Science, The Endless Frontier, was delivered to President Truman and would set the stage for America’s lasting technological dominance. It set forth a new vision in which scientific advancement would be treated as a public good, financed by the government, but made available for private industry. As Bush explained:

Basic research leads to new knowledge. It provides scientific capital. It creates the fund from which the practical applications of knowledge must be drawn. New products and new processes do not appear full-grown. They are founded on new principles and new conceptions, which in turn are painstakingly developed by research in the purest realms of science.

The influence of Bush’s idea cannot be overstated. It led to the creation of new government agencies, such as the National Science Foundation (NSF), the National Institutes of Health (NIH) and, later, the Defense Advanced Research Projects Agency (DARPA). These helped to create a scientific infrastructure that has no equal anywhere in the world.

2. Help to Overcome the Valley of Death

Government has a unique role to play in basic research. Because fundamental discoveries are, almost by definition, widely applicable, they are much more valuable if they are published openly. At the same time, because private firms have relatively narrow interests, they are less able to fully leverage basic discoveries.

However, many assume that because basic research is a primary role for public investment that it is its only relevant function. Clearly, that’s not the case. Another important role government has to play is helping to overcome the gap between the discovery of a new technology and its commercialization, which is so fraught with peril that it’s often called the “Valley of Death.”

The oldest and best known of initiative is SBIR/STTR program, which is designed to help startups commercialize cutting-edge research. Grants are given in two phases. In the first, a proof-of-concept phase, grants are capped at $150,000. If that’s successful, up to $1 million more can be awarded. Some SBIR/STTR companies, such as Qualcomm, iRobot and Symantec, have become industry leaders.

Other more focused programs have also been established. ARPA-e focuses exclusively on advanced energy technologies. Lab Embedded Entrepreneurship Programs (LEEP) give entrepreneurs access to the facilities and expertise of the National Labs in addition to a small grant. The Manufacturing Extension Program (MEP) helps smaller companies build the skills they need to be globally competitive.

3. Act As a Convening Force

A third role government can play is that of a convening force. For example, in 1987 a non-profit consortium made up of government labs, research universities and private sector companies, called SEMATECH, was created to regain competitiveness in the semiconductor industry. America soon regained its lead, which continues even today.

The reason that SEMATECH was so successful was that it combined the scientific expertise of the country’s top labs with the private sector’s experience in solving real world problems. It also sent a strong signal that the federal government saw the technology as important, which encouraged private companies to step up their investment as well.

Today, a number of new initiatives have been launched that follow a similar model. The most wide-ranging is the Manufacturing USA Institutes, which are helping drive advancement in everything from robotics and photonics to biofabrication and composite materials. Others, such as JCESR and the Critical Materials Institute, are more narrowly focused.

Much like its role in supporting basic science and helping new technologies get through the “Valley of Death,” acting as a convening force is something that, for the most part, only the federal government can do.

Make No Mistake: This Is Our New Sputnik Moment

In the 20th century three key technologies, electricity, internal combustion and computing drove economic advancement and the United States led each one. That is why it is often called the “American Century.” No country, perhaps since the Roman Empire, has ever so thoroughly dominated the known world.

Yet the 21st century will be different. The most important technologies will be things like synthetic biology, materials science and artificial intelligence. These are largely nascent and it’s still not clear who, if anybody, will emerge as a clear leader. It is very possible that we will compete economically and technologically with China, much like we used to compete politically and militarily with the Soviet Union.

Yet back in the Cold War, it was obvious that the public sector had an important role to play. When Kennedy vowed to go to the moon, nobody argued that the effort should be privatized. It was clear that such an enormous undertaking needed government leadership at the highest levels. We pulled together and we won.

Today, by all indications, we are at a new Sputnik moment in which our global scientific and technological leadership is being seriously challenged. We can respond with imagination, creating novel ways to, as Bush put it, “turn the wheels of private and public enterprise,” or we can let the moment pass us by and let the next generation face the consequences.

One thing is clear. We will be remembered for what we chose to do.

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

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The Phygital Future

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Designing Seamless Experiences Across Worlds

The Phygital Future

GUEST POST from Chateau G Pato

For too long, organizations have treated their physical and digital channels as separate silos, managed by different teams, budgets, and metrics. This disconnect is the root cause of friction, frustration, and failure in the modern customer journey. Customers do not think in channels; they think in experiences.

The future of customer engagement, employee empowerment, and service delivery is Phygital: the seamless, human-centered integration of the digital (technology, data, online) and the physical (locations, people, products). Phygital design is not about adding a screen to a store; it’s about using technology to dissolve the boundaries, focusing entirely on a single, continuous, and highly contextual journey. The goal is to maximize the utility and speed of the digital world while preserving the authenticity and human connection of the physical world.

The Failure of the Digital-First Mandate

The pendulum swung hard toward “Digital-First,” driven by efficiency and the push toward automation. While automation is vital, the pure digital-first mandate often fails at the last mile — the human interaction. Imagine a customer who spends 45 minutes online researching a product, only to have to repeat their entire story to an employee when they walk into a physical store. This is the Phygital Friction Gap — a moment where the digital intelligence is lost, forcing the human to restart the process. This failure occurs because the organization hasn’t designed the two worlds to share context, forcing the customer to carry the burden of the organization’s internal silos.

Phygital design solves this by recognizing that the highest value comes from the intersection, where the speed and intelligence of the digital world elevate the sensory and relational depth of the physical world.

Three Pillars of Seamless Phygital Design

Designing for the Phygital future requires a shift in mindset and strategy, moving from parallel channels to a single, interconnected Experience Architecture.

Contextual Continuity:
The fundamental rule of Phygital design is Never Ask the Customer to Repeat Themselves. The digital system must carry the customer’s intent, history, and context forward, regardless of the channel they jump to. This requires integrating the CRM, data analytics, and inventory systems so that an in-store associate can see the customer’s browsing history and cart status instantly via a mobile device.
Human-Augmentation, Not Replacement:
Technology should not be used to replace human interaction, but to augment the human professional. Use AI for mundane, high-volume tasks (data entry, scheduling) to free up employees to focus on high-value, high-empathy interactions (problem-solving, creative consultation). A Phygital environment uses digital intelligence to make the human associate smarter, faster, and more efficient.
Experiential Utility and Delight:
The physical space must be designed to maximize what the digital cannot offer — sensory experience, immediate gratification, and social connection. If a customer can buy the product cheaper and faster online, the store must offer a compelling reason to visit, such as interactive prototyping, localized expert advice, or a community event. Technology is used to add delight to the physical world, not just efficiency.

Case Study 1: Transforming the Bank Branch into a Consultation Hub

Challenge: Dying Relevance of the Physical Bank Branch

A major retail bank faced the imminent closure of many branches as customers shifted to mobile banking. The few customers who still visited branches were usually facing complex financial problems that demanded significant human expertise and time, clogging up service lines.

Phygital Intervention:

The bank didn’t just add tablets; they re-architected the entire journey. Customers were required to pre-book complex appointments through the mobile app (Digital). This allowed the digital system to collect context and queue the request to the correct specialist before the customer arrived. When the customer walked in, geo-fencing technology alerted the specialist (Physical) to the customer’s arrival. The specialist greeted the customer by name, already possessing their case history, eliminating the need to repeat their issue. This fusion of digital scheduling and physical, informed human contact cut wait times for complex issues by 70% and successfully repositioned the branch as a high-value Consultation Hub rather than a mere transaction counter.

The Ethical Imperative: Transparency and Trust

As we design Phygital experiences, we must address the ethical imperative. The constant collection of data (from location tracking to browsing history) to enable seamlessness can be perceived as invasive. Phygital Trust is built on transparency: customers must understand what data is being used and why, and feel they have genuine control. The seamlessness of the experience should always feel helpful, never creepy.

Case Study 2: Supply Chain Visibility in Manufacturing

Challenge: Lack of Visibility and Trust Between Partners

A global industrial manufacturer struggled with complex, long-lead-time orders, leading to constant back-and-forth communication and mistrust with clients regarding production status. Clients wanted the assurance of seeing the physical process but couldn’t visit the plant.

Phygital Intervention:

The manufacturer implemented a real-time Digital Twin strategy. They placed IoT sensors on key machines and production stations (Physical) and aggregated this data onto a secure, cloud-based platform (Digital). This allowed the client, via a secure web portal, to see the exact stage and location of their custom component in the plant, complete with real-time video feed snapshots and verifiable production data. The physical asset became the source of truth, but the digital interface provided the constant, transparent access the client needed. This Phygital visibility didn’t just improve efficiency; it transformed the client relationship from transactional to one of deep, shared trust, proving the ROI of transparency.

Conclusion: Experience Architecture is the New Battleground

The Phygital Future is here, and it demands that we stop designing for channels and start designing for the human journey. Leaders must champion Experience Architecture — a holistic view of the customer’s path. The organizations that win will be the ones that use the invisible power of data to create visible, human-first magic in the physical world.

“Phygital design is not about technology; it’s about context. It’s the art of giving the human everything they need, exactly where they need it, whether they are holding a smartphone or standing in a store.”

Your first step into the Phygital future: Map one critical customer journey and identify every point where Contextual Continuity is lost when the customer jumps from digital to physical. Eliminate that friction.

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: Pixabay

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Trends in Medical School Innovation and Entrepreneurship Education

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Trends in Medical School Innovation and Entrepreneurship Education

GUEST POST from Arlen Meyers, M.D.

Biomedical and health entrepreneurship continues to expand around the world. Driven by global pressures to optimize the allocation of scarce resources, life science bioentrepreneurs are creating innovative products, platforms, service and systems that deliver more value. As a result, the demand for biomedical and health professional entrepreneurial talent has increased and biomedical and health innovation and entrepreneurship education and training (BEET) programs are growing to fill the gap.

Authors of a 2019 analysis of 171 allopathic medical schools conducted an exhaustive search of the published literature and websites of existing medical school innovation and entrepreneurship (MS I&E) programs, with an emphasis on answering the following three questions:

1. How are I&E programs organized and integrated with the medical school curriculum?
2. What are the core competencies of the I&E program?
3. How are the core competencies measured/evaluated?

Twenty-eight I&E-oriented medical education programs were identified from 26 schools; all of the programs integrated faculty leadership with backgrounds in medicine, engineering, and/or business/entrepreneurship. Of the programs, 57% (16/28) had been launched within the past four years and 75% (21/28) based program enrollment on a selective application process. Nearly all (27/28) incorporated lecture series and/or hands-on modules as a teaching technique. The most prevalent metric was completion of a capstone project (22/28; 79%). At least 15.2% (26/171) of American and Canadian allopathic medical schools include the option for students to participate in an I&E curriculum-based program.

In a few short years, educational offerings in MS I&E have accelerated, in part due to the impact of the COVID pandemic. Trends include:

Sharing lessons learned teaching medical students innovation and entrepreneurship
Experimenting with various program business models
Creating medical student entrepreneurs
Rethinking MS I&E
Designing a curriculum map and defining learning objectives, entrustable professional activities and knowledge,skills, abilities and competencies
Mentoring and guiding medical students
Offering non-clinical-career options
Providing exit ramps
Rethinking how we select medical students
Resetting the future of academic medical center work
Using principles of medical education reform and what we should be teaching in MedEd 2030
Training MS I&E faculty
Encouraging interprofessional and transdisciplinary entrepreneurship programs
Integrating premed, medical student and postgraduate programs
Encouraging life-long learning

We should teach innovation, entrepreneurship and the business of medicine in medical schools, not MD/MBA programs. MBE programs are a better option for those interested in getting an idea to a patient.

Here are the many reasons why physician entrepreneurship is important and why we are likely to see more of the international design, development and deployment of MS I&E programs in both allopathic and osteopathic schools as well as other health professional schools, including nursing, pharmacy and public health schools. Ultimately, as a result, patients and sickcare systems will be the beneficiaries and doctors will be better and happier.

Image credit: Pixabay

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Voting Closed – Top 40 Innovation Bloggers of 2022

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For more than a decade I’ve devoted myself to making innovation insights accessible for the greater good, because I truly believe that the better our organizations get at delivering value to their stakeholders the less waste of natural resources and human resources there will be.

As a result, we are eternally grateful to all of you out there who take the time to create and share great innovation articles, presentations, white papers, and videos with Braden Kelley and the Human-Centered Change and Innovation team. As a small thank you to those of you who follow along, we like to make a list of the Top 40 Innovation Bloggers available each year!

Our lists from the ten previous years have been tremendously popular, including:

Top 40 Innovation Bloggers of 2015
Top 40 Innovation Bloggers of 2016
Top 40 Innovation Bloggers of 2017
Top 40 Innovation Bloggers of 2018
Top 40 Innovation Bloggers of 2019
Top 40 Innovation Bloggers of 2020
Top 40 Innovation Bloggers of 2021

Do you just have someone that you like to read that writes about innovation, or some of the important adjacencies – trends, consumer psychology, change, leadership, strategy, behavioral economics, collaboration, or design thinking?

Human-Centered Change and Innovation is now looking to recognize the Top 40 Innovation Bloggers of 2022.

It is time to vote and help us narrow things down.

The deadline for submitting votes is December 31, 2022 at midnight GMT.

The ranking will be done by me with influence from votes and nominations. The quality and quantity of contributions to this web site by an author will be a BIG contributing factor (through the end of the voting period).

You can vote in any of these three ways (and each earns points for them, so please feel free to vote all three ways):

Sending us the name of the blogger by @reply on twitter to @innovate
Adding the name of the blogger as a comment to this article’s posting on Facebook
Adding the name of the blogger as a comment to this article’s posting on our Linkedin Page (Be sure and follow us)

The official Top 40 Innovation Bloggers of 2022 will then be announced here in early January 2023.

Here are the people who received nominations this year along with some carryover recommendations (in alphabetical order):

Adi Gaskell – @adigaskell
Alain Thys
Alex Goryachev
Andy Heikkila – @AndyO_TheHammer
Annette Franz
Arlen Meyers – @sopeofficial
Art Inteligencia
Braden Kelley – @innovate
Brian Miller
Bruce Fairley
Chad McAllister – @ChadMcAllister
Chris Beswick
Chris Rollins
Dr. Detlef Reis
Dainora Jociute
Dan Blacharski – @Dan_Blacharski
Daniel Burrus – @DanielBurrus
Daniel Lock
David Burkus
Dean and Linda Anderson
Diana Porumboiu
Douglas Ferguson
Drew Boyd – @DrewBoyd
Farnham Street
Frank Mattes – @FrankMattes
Geoffrey A Moore
Gregg Fraley – @greggfraley
Greg Satell – @Digitaltonto
Helen Yu
Howard Tiersky
Janet Sernack – @JanetSernack
Jeffrey Baumgartner – @creativejeffrey
Jeff Freedman – @SmallArmyAgency
Jeffrey Phillips – @ovoinnovation
Jesse Nieminen – @nieminenjesse
John Bessant
Jorge Barba – @JorgeBarba
Julian Birkinshaw – @JBirkinshaw
Julie Anixter – @julieanixter
Kate Hammer – @Kate_Hammer
Kevin McFarthing – @InnovationFixer
Lou Killeffer – @LKilleffer
Manuel Berdoy

Mari Anixter- @MariAnixter
Maria Paula Oliveira – @mpaulaoliveira
Matthew E May – @MatthewEMay
Michael Graber – @SouthernGrowth
Mike Brown – @Brainzooming
Mike Shipulski – @MikeShipulski
Mukesh Gupta
Nick Partridge – @KnewNewNeu
Nicolas Bry – @NicoBry
Nicholas Longrich
Norbert Majerus and George Taninecz
Pamela Soin
Patricia Salamone
Paul Hobcraft – @Paul4innovating
Paul Sloane – @paulsloane
Pete Foley – @foley_pete
Ralph Christian Ohr – @ralph_ohr
Randy Pennington
Richard Haasnoot – @Innovate2Grow
Robert B Tucker – @RobertBTucker
Robyn Bolton – @rm_bolton
Saul Kaplan – @skap5
Shep Hyken – @hyken
Shilpi Kumar
Scott Anthony – @ScottDAnthony
Scott Bowden – @scottbowden51
Shelly Greenway – @ChiefDistiller
Soren Kaplan – @SorenKaplan
Stefan Lindegaard – @Lindegaard
Stephen Shapiro – @stephenshapiro
Steve Blank
Steven Forth – @StevenForth
Tamara Kleinberg – @LaunchStreet
Teresa Spangler – @composerspang
Tim Stroh
Tom Koulopoulos – @TKspeaks
Tom Stafford
Yoram Solomon – @yoram

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We’re curious to see who you think is worth reading!

The Anticipatory Leader

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Shifting from Reacting to Predicting Disruption

The Anticipatory Leader

GUEST POST from Chateau G Pato

The vast majority of organizational leadership today operates in a state of perpetual reaction. We manage by dashboard, optimize by quarterly report, and respond to crises only after they hit the headlines. This is the Victim Mindset of Leadership — believing that external disruption is an unavoidable, random event that must be absorbed. While this reactive approach might ensure short-term stability, it guarantees long-term decline.

In a world defined by exponential technology and complex global systems, the future belongs to the Anticipatory Leader. This is not about crystal balls or psychic predictions; it is a systematic, Human-Centered approach to sensing and preparing for future shifts before they become crises. It is the core capability that allows an organization to become the disruptor, rather than the disrupted. This shift requires trading the comfortable illusion of stability for the strategic discomfort of informed foresight.

The Three Domains of Anticipatory Leadership

Anticipation is built on a structured commitment to looking beyond the immediate horizon. It moves the leader from the transactional (managing today) to the transformational (designing tomorrow) across three key domains:

Sensing and Signal Detection (The ‘Where’):
This involves actively seeking weak signals — small, early indicators of massive change that are often dismissed as fringe ideas or anomalies. Reactive leaders only see trends; anticipatory leaders see inflection points. This means looking beyond industry trade journals into adjacent industries, geopolitical shifts, and emerging scientific research. It requires building diverse networks outside the company walls.
Scenario Mapping and Future Prototyping (The ‘What If’):
Anticipatory leaders refuse to plan for just one future. They create three to five plausible future scenarios based on their detected signals. These scenarios aren’t forecasts; they are mental models used to stress-test current strategies. Crucially, they use these scenarios to engage in Future Prototyping — building Minimum Viable Solutions (MVS) for future needs today, before the market demands them.
Building Organizational Adaptability (The ‘How’):
The best prediction is useless if the organization cannot pivot quickly. Anticipatory leadership requires embedding Agility and Resilience across the entire enterprise. This means flattening hierarchies, democratizing decision-making (empowering the edge), and constantly practicing unlearning — discarding outdated assumptions about the market, the customer, and the business model. This organizational fluidity is the ultimate defense against disruption.

Case Study 1: The Retail Giant and the E-Commerce Threat (The Cost of Reaction)

Challenge: The Slow Decline of Brick-and-Mortar Revenue

A massive, decades-old general merchandise retailer saw the emergence of e-commerce in the late 1990s not as a threat, but as a niche for booksellers. Their leadership was reactive, focused only on optimizing the square footage of their existing stores.

Anticipatory Leadership Intervention (Failure):

The retailer failed to detect the crucial weak signal: the shift in consumer expectations toward convenience and limitless choice. They ran a single, optimistic scenario: “Online sales will remain under 5% of total retail.” This reductionist view meant they did not prototype alternative logistics models (e.g., last-mile delivery, in-store pickup) until their market share began a terminal decline. Their leadership waited until the disruption was a crisis before reacting, resulting in an expensive, years-long struggle to catch up and a permanent loss of market leadership. The cost of reaction is always exponentially higher than the investment in anticipation.

The Human-Centered Imperative of Foresight

Anticipatory Leadership is inherently Human-Centered. It recognizes that the future is not found in spreadsheets alone; it’s found in the unmet, often un-articulated, needs of humans. By systematically looking for signals in human behavior — how younger generations are spending their time, how environmental awareness is shaping purchasing, or how trust is being fractured by digital life — the leader can predict the behavioral inflection points that drive market change.

Furthermore, leading through foresight mitigates the employee fear of change. When change is announced as a reaction to a competitor’s move, employees feel panicked and betrayed. When change is presented as the execution of a strategy anticipated two years ago, it breeds confidence and a sense of strategic purpose.

Case Study 2: The Software Company and the Open-Source Wave (The Power of Anticipation)

Challenge: The Commoditization of Proprietary Technology

A successful enterprise software company, whose entire business model was based on expensive, proprietary licensing, faced the rising tide of open-source software (OSS) in the early 2000s. The traditional leadership instinct was to view OSS as “low quality” or “non-commercial.”

Anticipatory Leadership Intervention (Success):

A small, empowered foresight team within the company detected a weak signal: the cultural shift among top developers who increasingly valued collaboration and transparency over vendor lock-in. Instead of dismissing OSS, the leadership team mapped two extreme scenarios — one where OSS failed, and one where it became the global standard. They quickly realized the latter was plausible and highly destructive to their core business.

Their action was anticipatory: they made a strategic pivot by quietly investing in and contributing heavily to several key OSS projects, and then repositioned their proprietary product not as a stand-alone license, but as a Premium Service Layer built on top of the open-source infrastructure. This shift transformed them from an expensive vendor into a trusted ecosystem partner, securing a new recurring revenue stream and attracting the very talent their competitors were losing. They predicted the disruption and changed their business model before their revenue plateaued.

Conclusion: Making Anticipation Your Operating System

The time lag between a disruption beginning and it hitting your P&L is shrinking every year. You cannot wait for the data to confirm what common sense and human insight already suggest. The Anticipatory Leader does not fear the future; they design for it.

“Reactive leaders spend their time climbing out of holes. Anticipatory Leaders focus on where to dig the next one. That gap is the difference between survival and sustained market dominance.” — Braden Kelley

Make sensing the future a daily habit, not an annual planning exercise. Your essential first step: Empower your best people to spend 10% of their time focused entirely on weak signals outside your current strategic boundary. This small investment in foresight is the greatest insurance policy you can buy against being disrupted.

Image credit: Pexels

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Intrapreneurship 2.0

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Empowering Employees to Be Startup Founders

Intrapreneurship 2.0

GUEST POST from Art Inteligencia

The single biggest threat to a successful, established company is rarely an external competitor; it is the Internal Antibody. This is the organizational immune system that attacks new ideas, citing rigid budget cycles, resource constraints, and ‘the way we’ve always done things.’ This institutionalized resistance is why so many large organizations fail to capitalize on the single greatest source of innovative ideas: their own employees with an entrepreneurial mindset.

Intrapreneurship 1.0 was about suggestion boxes, pitch competitions, and “20% time” — nice initiatives, but often disconnected from the strategic core, quickly defunded, and politically vulnerable. Today, in the age of rapid, complex disruption, we need Intrapreneurship 2.0: a systemic approach that treats internal innovators not as suggestion-givers, but as legitimate Startup Founders with the mandate, resources, and protection needed to scale. This is how you unlock a continuous capability for internal disruption.

The Three Pillars of the Intrapreneurial Operating System

To transition from a siloed corporate structure to a decentralized innovation engine, an organization must build three pillars, transforming its internal operating system to mimic a venture capital firm.

The Seed Funding and Protection Pillar:
The greatest barrier for an intrapreneur is not generating the idea, but navigating bureaucracy. Intrapreneurship 2.0 requires a dedicated, independently governed Internal Venture Fund separate from the traditional P&L and capital expenditure budget. Most importantly, it requires a “safe harbor” — a leadership commitment to shield these projects from the corporate antibodies, protecting the innovator’s career, even if the project fails after a disciplined experiment.
The Governance and Autonomy Pillar:
Intrapreneurs must have high autonomy over their team, budget, and execution methodology. Their reporting structure should be to an impartial “Innovation Review Board” (IRB), modeled after a VC board of directors, not to their traditional department head. This allows them to move with startup speed, pivoting based on market data rather than political consensus or departmental inertia.
The Talent and Rewarding Pillar:
Innovation is a retention strategy. The rewards for successful intrapreneurial ventures must be commensurate with the risk taken. This goes beyond a one-time bonus; it must include genuine equity-like incentives (e.g., profit-sharing on the new business line), career advancement into a new business unit established around the innovation, or formal recognition as a Chief Intrapreneur. This elevates internal innovation from a side project to a viable, exciting career path.

Case Study 1: Transforming Legacy Hardware into a Service Model

Challenge: Stagnant Revenue in a Global Industrial Manufacturer

A multi-billion-dollar industrial equipment company faced declining revenue as its traditional hardware sales became commoditized. The future was in “Equipment-as-a-Service” (EaaS), but the legacy sales force and technology platforms lacked the agility to transition.

Intrapreneurship 2.0 Intervention:

The leadership team sponsored a small, cross-functional team to form a fully-funded internal startup, deliberately naming it to sound external: Synergy Tech Solutions. The team was explicitly tasked with building the EaaS platform and customer experience outside of the main P&L. They were given a two-year budget and full autonomy to choose their cloud infrastructure and agile pricing model. Crucially, a formal Executive Steering Committee acted as their impartial VC board, providing guidance but never vetoing their market experiments. When the new service generated its first $10M in Annual Recurring Revenue (ARR), the core intrapreneurial team was given the option to merge their unit back into the core with significant promotion and profit sharing, effectively transitioning from founders to general managers.

The Anti-Bureaucracy Toolkit

The single greatest tool for the intrapreneur is the ability to say no to corporate overhead. Intrapreneurship 2.0 recognizes that speed is the only currency that matters. Leaders must provide a practical “Anti-Bureaucracy Toolkit” that includes:

Pre-Approved Legal Templates: Quick contracts for small vendors or pilot customers, bypassing the standard six-week legal review.
Shadow IT Access: Permission to use modern, rapid prototyping software (often blocked by corporate IT and security policies) with agreed-upon guardrails.
Fast-Track Procurement: A simplified purchasing card with a higher limit for immediate needs, eliminating cumbersome Purchase Order (PO) processes.

Case Study 2: Solving Internal Talent Drain with an Innovation Marketplace

Challenge: Losing Top Talent to Startups and Internal Siloing

A large technology company suffered from talent drain as its best engineers left to join external startups. Simultaneously, internal talent was siloed and locked into non-strategic maintenance work.

Intrapreneurship 2.0 Intervention:

The company created an Internal Innovation Marketplace, essentially an internal job board for mission-driven, intrapreneurial projects. Any employee with an approved idea could post a “Team Request” for talent. The powerful shift was institutionalizing a formal Talent Mobility Policy that allowed employees to dedicate 100% of their time to an internal startup for a defined period (6-12 months) with a dedicated manager bypass for high-priority projects. This marketplace acted as a decentralized innovation incubator. It gave existing employees the startup experience they craved — ownership, speed, and mission — without having to leave the company. Within 18 months, the company successfully launched four new business lines, and top talent attrition was cut in half, proving that the best retention strategy is often internal disruption.

Conclusion: Scaling the Founder’s Mindset

Intrapreneurship 2.0 is the evolution of innovation culture. It’s not a program; it’s an organizational design decision. It is the recognition that the person closest to the customer pain or the technical opportunity is often a mid-level employee, not an executive.

“If you want to create a culture of continuous innovation, you must stop treating your best ideas as suggestions and start treating your best people as founders. Give them the key to the innovation vault and the mandate to drive change.” — Braden Kelley

The time for hesitant, half-measures is over. Embrace the principles of Intrapreneurship 2.0 to transform your workforce into a legion of nimble, motivated internal entrepreneurs, securing your future through your own capacity for disruption. Your first step: Audit your current innovation budget and separate 10% into a true, autonomous Internal Venture Fund.

For more on this topic I encourage to explore the writings of my friend Braden Kelley, a two-time best-selling author, including Charting Change and Stoking Your Innovation Bonfire, and the creator of the Human-Centered Change™ methodology. He helps organizations drive innovation, overcome resistance, and embed continuous change capabilities.

Image credit: Pixabay

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Nominations Closed for the Top 40 Innovation Bloggers of 2022

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Human-Centered Change and Innovation loves making innovation insights accessible for the greater good, because we truly believe that the better our organizations get at delivering value to their stakeholders the less waste of natural resources and human resources there will be.

Nominations are now closed.

Our lists from the ten previous years have been tremendously popular, including:

Human-Centered Change and Innovation is now looking for the Top 40 Innovation Bloggers of 2022.

The deadline for submitting nominations is December 24, 2022 at midnight GMT.

Nominations are now closed, but people were able to submit a nomination in either of these two ways:

Sending us the name of the blogger and the url of their blog by @reply on twitter to @innovate
Sending the name of the blogger and the url of their blog and your e-mail address using our contact form

(Note: HUGE bonus points for being a contributing author)

So, think about who you like to read and let us know by midnight GMT on December 24, 2022.

We will then compile a voting list of all the nominations, and publish it on December 25, 2022.

Voting will then be open from December 25, 2022 – January 1, 2023 via comments and twitter @replies to @innovate.

The ranking will be done by me with influence from votes and nominations. The quality and quantity of contributions by an author to this web site will be a contributing factor.

Contact me with writing samples if you’d like to publish your articles on our platform!

The official Top 40 Innovation Bloggers of 2022 will then be announced on here in early January 2023.

We’re curious to see who you think is worth reading!

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Forbidden Truth About Innovation

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Forbidden Truth About Innovation

GUEST POST from Robyn Bolton

If you heard it once, you heard it a thousand times:

Big companies can’t innovate
We need to innovate before we get too big and slow
Startups are innovative. Big companies are dinosaurs. They can’t innovate.

And yet you persevere because you know the truth:

Big companies CAN innovate.

They CHOOSE not to.

Using Innovation to drive growth is a choice.

Just like choosing to grow through acquisition or expansion into new markets is a choice.

All those choices are complex, uncertain, and risky. In fact:

70 – 95% of innovations fail
70 – 90% of acquisitions fail
~80% of market entry efforts fail

Hold on. The odds of failure are the same!

All three growth drivers have similar failure rates, but no one says, “Big companies can’t acquire things” or “Big companies can’t expand into new markets.”

We expect big companies to engage in acquisitions and market expansion.

Failed acquisitions and market expansions prove us (or at least our expectations) wrong. Because we don’t like being wrong, we study our failures so that we can change, improve, and increase our odds of success next time.

We expect big companies to fail at innovation.

In this case, failure proves us right. We love being right, so we shrug and say, “Big companies can’t innovate.”

We let big companies off the hook.

Why are our expectations so different?

Since the dawn of commerce, businesses engaged in innovation, acquisitions, and market expansion. But innovation is different from M&A and market expansion in three fundamental ways:

Innovation is “new” – Even though businesses have engaged in innovation, acquisitions, and market expansion since the very earliest days of commerce, innovation only recently became a topic worthy of discussion, study, and investment. In fact, it wasn’t until the 1960s that Innovation was recognized as worthy of research and deliberate investment.

Innovation starts small – Unlike acquisitions and new markets that can be easily sized and forecasted, in the early days of an innovation, it’s hard to know how big it could be.

Innovation takes time – Innovation doesn’t come with a predictable launch date. Even its possible launch date is usually 3 to 5 years away, unlike acquisition closing dates that are often within a year.

What can we do about this?

We can’t change what innovation is (new, small, and slow at the start), but we can change our expectations.

Finish the sentence – “Big companies can’t innovate” absolves companies of the responsibility to make a good-faith effort to try to innovate by making their struggles an unavoidable consequence of their size. But it’s not inevitable, and continuing the sentence proves it. Saying “Big companies can’t innovate because…” forces people to acknowledge the root causes of companies’ innovation struggles. In many ways, this was the great A-HA! of The Innovator’s Dilemma: Big companies can’t innovate because their focus on providing better (and more expensive) solutions to their best customers results in them ceding the low-end of the market and non-consumers to other companies.

Be honest – Once you’ve identified the root cause, you can choose to do something different (and get different results) or do everything the same (and get the same results). If you choose to keep doing the same things in the same ways, that’s fine. Own the decision.

Change your choice. Change your expectations – If you do choose to do things differently, address the root causes, and resolve the barriers, then walk the talk. Stop expecting innovation to fail and start expecting it to be as successful as your acquisition and market expansion efforts. Stop investing two people and $10 in innovation and start investing the same quantity and quality of resources as you invest and other growth efforts.

The first step in change is admitting that change is needed. When we accept that “big companies can’t innovate” simply because they’re big, we absolve them of their responsibility to follow through on proclamations and strategies about the importance of innovation as a strategic driver of growth.

It’s time to acknowledge that innovation (or lack thereof) is a choice and expect companies to own that choice and act and invest accordingly.

After all, would it be great to stop persevering and start innovating?

Image credit: Pixabay

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The Innovation Dashboard

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Visualizing the Impact of Your People-First Approach

The Innovation Dashboard

GUEST POST from Art Inteligencia

In the relentless pursuit of progress, businesses often fall into the trap of measuring what’s easy, not what’s important. We meticulously track KPIs for revenue, efficiency, and market share, yet when it comes to innovation, our metrics often devolve into vague notions of “idea counts” or “project pipeline.” This is a fundamental flaw, especially for leaders committed to Human-Centered Change. To truly light your Innovation Bonfire, you need a different kind of visibility: an Innovation Dashboard that vividly illustrates the impact of your people-first approach.

Innovation isn’t a solitary act of genius; it’s a collective endeavor fueled by psychological safety, diverse perspectives, and empowered individuals. The challenge isn’t just to innovate, but to prove that investing in your people—their well-being, their ideas, their agency—is the most potent catalyst for breakthrough. This dashboard isn’t just about tracking ideas; it’s about visualizing human potential unleashed.

Beyond Output: Measuring Inputs and Outcomes

A truly effective Innovation Dashboard moves beyond simple output metrics (e.g., # of patents) to encompass both the inputs that foster innovation and the outcomes that demonstrate its impact on both people and profit:

1. Inputs: Cultivating the Innovation Environment

This section quantifies the health of your innovation ecosystem—the conditions that allow people to thrive and create. Key metrics here include:

Psychological Safety Index: Measured through anonymous surveys, pulse checks, or sentiment analysis, assessing how safe employees feel to speak up, challenge ideas, and take risks without fear of retribution. This is the bedrock of innovation.
Cross-Functional Collaboration Score: Tracking the frequency and effectiveness of interactions between different teams or departments, indicating how well ideas flow across silos.
“Purpose Alignment” Score: An internal measure of how well employees understand and connect with the organization’s overarching mission, ensuring innovation is guided by a shared “Why.”
Learning & Development Engagement: Tracking participation rates in skill-building workshops, hackathons, or knowledge-sharing sessions related to new technologies or methodologies.

2. Outputs & Outcomes: Impacting People and Performance

This section links the innovation efforts directly to tangible results, both for the business and for the people involved:

Employee-Generated Idea Conversion Rate: Tracking the percentage of employee-submitted ideas that move from concept to pilot, demonstrating a culture of action and feedback.
Time-to-Market for New Initiatives (Employee-Led): A measure of efficiency for innovations that originated from internal teams, highlighting agility.
Customer Satisfaction (CSAT) / Net Promoter Score (NPS) Impact from Innovations: Directly linking new products/services to improvements in customer experience metrics.
Employee Retention & Engagement for Innovators: Monitoring how well you retain and engage employees who are actively involved in innovation projects, recognizing that involvement often leads to higher satisfaction.
Revenue/Cost Savings Attributed to Innovation: Quantifying the financial impact of successful new offerings or process improvements.

Case Study 1: The “Engagement to Innovation” Link at a Tech Giant

A prominent technology company was struggling with innovation stagnation despite having a vast R&D budget. Their existing dashboards focused purely on project milestones and patent filings. Recognizing this flaw, the Chief People Officer partnered with the Head of Innovation to create a new, human-centric dashboard.

They started tracking “internal mobility” (movement between teams), “mentorship participation,” and crucially, a “Friction Score” derived from employee feedback channels, measuring systemic obstacles to creativity. They cross-referenced these with traditional innovation metrics. What they found was revelatory: teams with high psychological safety, frequent cross-functional exchanges, and low “Friction Scores” consistently produced higher-quality, market-ready innovations, even if they had fewer initial “ideas.”

The dashboard visually demonstrated that investing in employee well-being and psychological safety was a direct precursor to increased innovation output. This wasn’t just correlation; the data showed causation. It allowed leadership to justify a reallocation of resources from purely project-centric funding to culture-centric investments, proving that a robust internal ecosystem was their most powerful innovation engine. This led to a 15% increase in successful new product launches within two years, directly tied back to improved employee experience metrics.

Case Study 2: Designing for Impact in a Service Organization

I worked with a large, geographically dispersed service organization that needed to rapidly innovate its customer service model. Their initial approach was top-down, but it lacked traction. Human-Centered Design frameworks advocated for empowering front-line employees to drive solutions. To track this, we built a lean Innovation Dashboard focused on Employee-Led Solution Deployment.

Instead of just counting ideas, the dashboard visualized the journey of ideas from conception through pilot to full implementation. Key metrics included: “Time from Idea Submission to Pilot,” “Front-line Employee Participation Rate,” and “CSAT Impact of Employee-Led Solutions.” A critical visual component was a “Feedback Loop Health” indicator, showing how quickly and constructively ideas received feedback, reflecting the psychological safety to fail fast and learn.

The dashboard revealed that localized teams, given autonomy and rapid feedback, were prototyping and deploying solutions significantly faster than centralized initiatives. It highlighted specific branches and managers who were particularly effective at fostering internal innovation. This visibility allowed leadership to replicate best practices, provide targeted support, and, most importantly, celebrate the human architects of change. The result was a 10% improvement in first-call resolution and a significant jump in employee engagement for teams actively contributing to the innovation process.

“You cannot manage what you do not measure, but more importantly, you cannot inspire what you do not make visible. The Innovation Dashboard turns the intangible power of people into a strategic reality.”

Designing Your Impactful Dashboard

Creating your Innovation Dashboard is an exercise in Human-Centered Design itself. It should be:

Visually Intuitive: Easy to understand at a glance, with clear trends and actionable insights.
Balanced: Reflecting both the human inputs and the business outcomes.
Dynamic: Constantly updated and iterated based on what truly drives your organization’s innovation culture.
Empowering: Not just for executives, but for every team member to see their contribution and the collective progress.

By shifting your focus from simply tracking projects to visualizing the health of your innovation ecosystem and the impact of your empowered people, you provide not just data, but a compelling narrative. This Innovation Dashboard becomes a powerful tool for strategic decision-making, stakeholder alignment, and, most critically, for celebrating the human spirit that fuels all true progress.

Image credit: Google Gemini

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