Transparency in Innovation

Why Openness Builds Trust

Transparency in Innovation

GUEST POST from Art Inteligencia

For too long, the default stance of innovation has been one of secrecy. Organizations have operated under the assumption that competitive advantage is best preserved by erecting walls of intellectual property and treating consumers as passive recipients of finished products. This closed model, built on proprietary control, is fundamentally incompatible with the demands of the modern, interconnected world. The fear is palpable: If we show our hand, a competitor will steal our core idea. But as a human-centered change and innovation thought leader, I argue that this fear is misplaced. The single most critical, non-technical factor separating resilient market leaders from fragile incumbents is Transparency. Innovation thrives in the open, and in today’s economy, strategic openness is the foundation of trust.

Transparency in innovation means proactively sharing the why, the how, and the results of your creative endeavors. It involves exposing your development process, admitting to failures, disclosing the data you use, and inviting external scrutiny. This requires a courageous shift in mindset, transforming the consumer from a passive buyer into an engaged partner. This shift creates a powerful, self-correcting feedback loop of trust that accelerates quality, anticipates ethical pitfalls, and builds a powerful, resilient community around your brand, making the entire organization more anti-fragile.

The Three Dividends of Transparent Innovation

Adopting transparency is not a moral obligation; it is a superior business strategy — a Hybrid Competitive Advantage — that delivers three quantifiable dividends:

  • 1. Enhanced Integrity and Algorithmic Resilience: By exposing your processes, you invite ethical audit. This is paramount in the age of AI. Algorithmic Transparency — explaining how a machine learning model arrived at a decision — is vital for regulatory compliance and public acceptance. Openness forces integrity, catching unintended biases or data misuse before they become a public crisis. This proactive ethical diligence shields the brand from future reputational damage.
  • 2. Accelerated Improvement via Feedback: When you share prototypes or development roadmaps early, you don’t just get passive validation; you gain immediate, diverse, and high-quality feedback. The community effectively becomes an unpaid, global testing and quality assurance team, vastly accelerating the iterative cycle and ensuring the final product is truly human-centered. This speed is IP protection in itself.
  • 3. Deepened Stakeholder Trust: In an era of rampant skepticism, consumers, investors, and employees value authenticity above all. Transparency serves as a powerful signal of confidence and honesty. It communicates: “We believe in what we are doing enough to show you the messy middle.” This conviction translates directly into loyalty and a willingness to forgive inevitable missteps, leading to higher customer lifetime value (CLV).

“Secrecy guards your vulnerability; Transparency guards your resilience. The choice is between short-term control and long-term trust.”


Case Study 1: Buffer – Radical Transparency in Operational Innovation

The Challenge:

Buffer, a social media management company, operated in a crowded, competitive market where secrecy around funding and operational decisions was the norm. The challenge was finding a non-technical way to stand out and build extraordinary trust with employees and customers.

The Transparent Solution:

Buffer embraced Radical Transparency as its core operating principle. They went far beyond standard innovation disclosure, sharing sensitive company data like their public salary formula, financial health (revenue, expenses, funding), and detailed decision-making frameworks. For product innovation, this meant openly discussing the trade-offs and constraints that shaped their roadmap, explaining why one feature was prioritized over another and how resources were allocated.

The Trust-Driven Impact:

This openness fostered deep trust, leading to extremely high employee engagement and low attrition. Externally, it positioned Buffer as an ethical, reliable partner. Customers became deeply committed not just to the tool, but to the company’s values, proving that sharing sensitive operational data—the ultimate act of transparency—can be a powerful, non-replicable competitive advantage that builds profound organizational resilience.


Case Study 2: Patagonia – Transparency in the Value Chain and Impact

The Challenge:

As a global apparel company, Patagonia faces immense complexity in its supply chain, making it difficult to guarantee that every fiber and factory meets its stringent environmental and labor standards. The pressure for perfect, unquestionable sustainability is practically unattainable.

The Transparent Solution:

Patagonia chooses not to hide its complexity but to expose it through Impact Transparency, most notably with its Footprint Chronicles. This online resource publicly details the environmental and social impact of every product, from raw material extraction to final delivery. This includes disclosing manufacturing locations and, crucially, admitting to shortcomings where materials or processes do not yet meet ideal standards. They use transparency not as a claim of perfection, but as a commitment to innovation and improvement, often inviting customers to join the journey.

The Trust-Driven Impact:

By being honest about the “messy middle” of their value chain, Patagonia has earned exceptional trust and loyalty. Consumers trust the brand not because it claims perfection, but because it is willing to disclose its imperfections and actively work to fix them. This transparency drives purchasing decisions, allows Patagonia to command a price premium, and ensures that their innovation efforts—such as switching to regenerative materials—are seen as genuine commitments, not just superficial marketing.


The New Mandate: Leading with Proactive Openness

The age of opaque innovation is over. Today, secrecy is interpreted not as strategic prudence, but as a lack of confidence or, worse, something to hide. Trust, the most valuable currency in business, is earned through exposure and vulnerability.

Leaders must therefore champion a culture of Proactive Transparency. This means designing innovation processes where ethical disclosure, early feedback loops, and open communication about both success and failure are default settings. By opening your innovation process—sharing the data, revealing the constraints, and celebrating the collective effort — you not only build a better product faster, but you forge an unbreakable bond of trust with your employees, partners, and customers. Transparency is not just good for people; it’s essential for modern, resilient innovation.

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: Flickr

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Black Friday Cyber Deal on Charting Change

Black Friday Cyber Deal on Charting Change

Wow! Exciting news!

From now until November 30, 2022 you can get a 55% discount on my latest best-selling book Charting Change – plus FREE shipping!

You must go to SpringerLink for this Cyber Sale:

  • The offer is valid until November 30, 2022
  • Please use CYB22 at check-out to get your discount on books & eBooks*
  • Free shipping

Click here and enter the code CYB22 before checkout

*This offer is valid for English-language Springer & Palgrave books and eBooks and is redeemable on link.springer.com only. Titles affected by fixed book price laws, forthcoming titles and titles temporarily not available on link.springer.com are excluded from this promotion, as are reference works, handbooks, encyclopedias, subscriptions, or bulk purchases. The currency in which your order will be invoiced depends on the billing address associated with the payment method used, not necessarily your home currency. Regional VAT/tax may apply. Promotional prices may change due to exchange rates. This offer is valid for individual customers only. Booksellers, book distributors, and institutions such as libraries and corporations please visit springernature.com/contact-us. This promotion does not work in combination with other discounts or gift cards.

Imagine Your Next

Planning for the Future!

Imagine Your Next

GUEST POST from Teresa Spangler

“Our imagination is the only limit to what we can hope to have in the future.” – Charles Kettering

The line between humans and machines is blurring by the day. The future, as we know it today may be tomorrow’s history book; with our exponential technological advancement in fields like Artificial Intelligence (AI), robotics, automation etc., there will come a time when machine intelligence could exceed human capabilities to an extent that would require us to contemplate on how this might affect society for better or worse.

The question of whether AI can take over has been at the forefront among futurists ever since computers began matching human abilities—albeit not entirely replacing them just yet! Although no one knows what lies ahead for humanity, these advancements are certainly going bring changes in every sphere from socioeconomics all the way up to space exploration.

So how best can we do future planning with so many priorities sitting on our day-to-day plates? Here is a simple exercise you and your organization can use to get imaginative about your future and design the best possible outcomes you desire.

In order to formulate the best possible outcomes for your organization, you need to get imaginative and plan. One way of doing this is by looking 10 years into the future! Can you predict what the future will look like in 10 years? Probably not. But, with a little time and creativity, we can get close!

Using this first strategy that may help you started planning a possible future.

Exercise:

Look forward 10 years

Divide a wall, white board or use a conference table into two sections

  • Doom– most negative possible outcomes that could happen
  • Boom– most positive possible outcomes that could happen

Considerations in your scenarios:

  • How will the world be impacted?
  • How will humanity be impacted?
  • How will your company be impacted?
  • How will you personally be impacted?
  • How did each of the above contribute to these scenarios?
  • + Any other points you feel need to be considered

Using sticky notes 

  1. Write as many worse possible outcomes as the team can imagine
  2. Write as many of the best possible outcome you can imagine impacting the world and humans positively.

Have each person contributing to craft a mini story of each scenario as if it’s happened already with as much detail as possible.  Each person read out their mini story and collectivity design one story scenario from everyone’s input.

Now you have two possible future worlds one worst case and one best case.

Now for the planning:

Take the best case and reimagine your vision and mission as a company. What products, technologies, services, solutions will you have (no barriers! Imagine anything is possible)? 

What roles will you have, what skills will everyone have, what does the organization look like, how have your customers and their needs changed?

This is not a one-hour or one-day exercise. The idea of designing the future is ongoing.

In the future, humans will coexist with machines.

The question is: how?

What do you think about this and what are your thoughts on adapting to it now?

How does company’s products change in relation to human-machine relationships or interactions reflected by technology usage habits of today’s youth who grew up using smartphones from an early age they can type faster than 5 WPM typing speed?

Consider the possibilities!

Let us help you start your journey into the future. We’d love to help!

Request our free two-hour facilitated workshop and see what you come up with!

Image credit: Pixabay

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Connecting Individual Contribution to Organizational Impact

Purpose-Driven Work

Connecting Individual Contribution to Organizational Impact

GUEST POST from Chateau G Pato

In the modern economy, organizations are locked in a perpetual battle for talent, engagement, and sustainable growth. Yet, many leaders overlook the single most powerful, renewable resource at their disposal: the human desire for meaning. As a human-centered change and innovation thought leader, I argue that the future of work is not defined by perks or paychecks alone, but by a deep, authentic connection between an individual’s daily tasks and the organization’s overarching impact. This is the essence of Purpose-Driven Work. When employees understand precisely how their efforts contribute to a mission bigger than the bottom line, their productivity transforms from mere labor into inspired contribution.

The challenge for innovation leaders is moving purpose from a glossy mission statement on the wall to a dynamic, daily operating principle on the shop floor. True purpose-driven work requires a transparent system that links a junior analyst’s spreadsheet update or a warehouse worker’s careful packing directly to the organization’s larger societal or customer value. When this connection is clear, the result is exponential: lower attrition, higher engagement, better customer service, and a powerful engine for organizational resilience and human-centered innovation.

The Three Levers of Purpose Alignment

To institutionalize purpose-driven work, organizations must strategically pull three key levers:

  • 1. The “Why” Transparency: Every employee must not only know the company’s mission but also regularly see proof of that mission in action. This involves transparently sharing impact metrics, customer testimonials, and success stories that highlight the human outcome of the work.
  • 2. Contribution Mapping: Leaders must create clear pathways—literally mapping the work—that show how each department, team, and individual role acts as a critical link in the chain of impact. This eliminates the feeling of being a “cog in the machine” and emphasizes individual ownership of the final result.
  • 3. Amplifying Micro-Innovations: When purpose is clear, employees feel safe and motivated to innovate at the local level. Organizations must create structures to capture and celebrate these small, purpose-aligned improvements, reinforcing the idea that everyone is an innovation driver in the service of the mission.

“Purpose is not a destination; it’s the GPS for daily decision-making. If your people don’t know the destination, they can’t navigate the complex roads of innovation.” — Braden Kelley


Case Study 1: The Healthcare Tech Company – Connecting Code to Care

The Challenge:

A rapidly growing healthcare technology firm, specializing in electronic health records (EHR), found that its software developers were experiencing burnout and disconnection. They understood they built software, but the abstraction of code separated them from the mission of patient care. This led to quality dips and high turnover.

The Purpose-Driven Solution:

The company instituted a mandatory, recurring program called “Empathy Days.” Instead of simply reading bug reports, developers and testers were required to spend a dedicated day each quarter in a hospital or clinic setting, shadowing nurses and doctors who used their software. They witnessed firsthand how a one-second lag in loading patient data could impact a critical decision, or how a poorly designed interface created friction for an overwhelmed medical professional.

The Organizational Impact:

The impact was immediate and profound. The developers, now emotionally invested, returned to their desks with a renewed sense of urgency and accuracy. Bugs were fixed faster, and the quality of user-centered design skyrocketed because the team shifted its focus from meeting feature specifications to reducing friction for the user-in-crisis. Attrition among technical staff dropped by 15%, proving that connecting a technical task (coding) to a human outcome (saving time for a nurse) is a powerful driver of engagement and quality innovation.


Case Study 2: Global Retailer – The Sustainable Supply Chain Steward

The Challenge:

A global apparel retailer had a strong public commitment to sustainability and ethical sourcing, but this purpose felt remote to the logistics and distribution center teams, whose performance was measured almost exclusively by speed and volume (Output Metrics).

The Purpose-Driven Solution:

The retailer fundamentally altered its performance management system to incorporate Purpose-Driven Metrics. They introduced the role of the “Sustainable Supply Chain Steward” at every distribution hub. Employees were trained on the specific environmental impact of packaging choices, waste management, and shipping routes. Their contribution mapping was changed to show: “Your choice of pallet wrap today saved X amount of plastic from landfill, directly supporting the company’s 2030 goal.”

The Organizational Impact:

By empowering front-line employees with purpose and impact data, the organization unlocked a wave of decentralized, cost-saving innovation. Logistics teams began identifying new recycling partnerships and optimizing packaging designs, not because they were told to, but because they were measured and recognized for their contribution to the sustainability mission. The retailer not only saw a measurable reduction in waste and shipping costs but also achieved higher scores in employee satisfaction related to the company’s ethical practices, demonstrating a clear link between local purpose alignment and global brand equity.


The Leadership Imperative: Curating Meaning at Scale

Purpose-driven work is not a motivational poster; it is a systemic leadership commitment. The ultimate responsibility of the innovation leader is to be the chief curator of meaning, ensuring that the work environment constantly reflects the value being created for humanity. This requires intentional transparency regarding impact, courageous willingness to expose employees to the human beneficiaries of their work, and a commitment to measuring Outcome over mere Output.

When you transform a job description from a list of duties to a statement of impact, you stop hiring for compliance and start attracting talent driven by conviction. That conviction — the authentic belief that “my work matters” — is the non-replicable, human-centered competitive advantage that will define the most resilient and innovative organizations of the next decade.

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

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We Must Begin Investing in Resilience

We Must Begin Investing in Resilience

GUEST POST from Greg Satell

In 1964, as the financial revolution was gathering steam, an MIT economist named Paul Cootner published a collection of essays called The Random Character of Stock Market Prices. Based largely on an obscure dissertation by a forgotten frenchman, it laid the foundations for a new era of financial engineering.

Yet among the papers included was one that told quite a different story. Written by Benoit Mandelbrot—a mathematician not an economist—it showed that the seemingly sophisticated models significantly underestimated volatility and risk. In effect, he was predicting that these models would massively blow up one day.

No one disputed Mandelbrot’s facts, because they were clear and indisputable. Nevertheless, reputations were invested and there was of money to be made. So Mandelbrot’s warnings, although not altogether forgotten, were put in the back seat and we paid an enormous price. Clearly, then as now, we failed to invest in resiliency. Will we ever learn our lesson?

The Path to Pandemic

The Coronavirus crisis, for all of its severity, shouldn’t have been a surprise. There was the SARS pandemic in 2003, the Swine Flu outbreak in 2009, MERS in 2012 and, of course, Ebola in 2014. Each of these had potential for global catastrophe that was, thanks to some decisive action and no small amount of luck, averted.

There were also no shortage of warnings. George W. Bush sounded the alarm back in 2005, saying, “If we wait for a pandemic to appear, it will be too late to prepare.” RAND issued a report in 2012. Bill Gates was explicit about our lack of preparedness in his 2015 TED Talk.


To highlight the risk, before leaving office the Obama administration set up an exercise for the incoming Trump administration based on their earlier experience with pandemics.

Yet to say we dithered greatly understates the problem. From its very first year in office, the current administration proposed deep cuts to the NIH and CDC. Even in January 2020, when it was clear that the danger from the virus was growing, it was calling for cuts to those same agencies. Administration officials then doubled down on these cuts as late as March.

The lights had been blinking red. There had been 4 major outbreaks in the last 20 years. Experts and public officials had repeatedly called for preparations. Instead, we got tax cuts and deregulation. The pandemic’s path was cleared by public inattention and government inaction. While the ship was sinking, the crew was sleeping.

Unfortunately, our problems don’t end there.

Multiple Ticking Clocks

Clearly the Coronavirus crisis is a tragedy, yet it’s not the only light that has been blinking red for a while now. Just as Mandelbrot warned of the financial meltdown that came in 2008 and experts had been warning about the danger of pandemics for at least 20 years, there are a number of crises waiting to happen that we’re currently ignoring.

Take the climate crisis for example. A 2018 climate assessment published by the US government warned that we can expect climate change to “increasingly affect our trade and economy, including import and export prices and U.S. businesses with overseas operations and supply chains.” Another study found that the damages from climate related disasters since 1980 exceeds $1.7 trillion. That will only grow.

In the US our debt had already been a concern, especially considering that Medicare spending is set to explode. Now, with the Coronavirus crisis, we can expect to be adding trillions more to that, which doesn’t even include our massive environmental debt and infrastructure debt. Add it all up and our debts could easily exceed $30 trillion and possibly much more than that

It doesn’t end there either. Our electricity grid is insecure and vulnerable to cyberattack. As we increasingly delegate decisions to machines, we are realizing that we often do not understand how many of those decisions are made and we desperately need to make artificial intelligence explainable, auditable and transparent. We are also in the beginning of a genomics revolution, which will also create profound challenges.

A Proven Model

The challenges we face today, while profound and potentially catastrophic, are not at all unprecedented. In the 1950s, when we first began to understand the possibility of a nuclear holocaust, Albert Einstein and Bertrand Russell issued a manifesto highlighting the dangers of nuclear weapons, which was signed by 10 Nobel Laureates. Later, a petition signed by 11,000 scientists helped lead to the Partial Test Ban Treaty.

In the 1970s, when the dangers of gene editing became real, Paul Berg, one of the leading researchers, organized the Asilomar Conference to establish guidelines. The result, now known as the Berg Letter called for a moratorium on the riskiest experiments until the risks were better understood and instituted norms that were respected for decades.

Both efforts benefitted from a broad array of expertise. It was the partnership of Einstein, the world’s most famous physicist and the prominence of Bertrand Russell as a philosopher that jump-started the non-proliferation movement. The Asilomar conference included not only scientists, but also lawyers, politicians and members of the media.

In a similar vein, the Partnership on AI, which was formed to address ethical issues in artificial intelligence, includes not only leading tech companies, but also organizations like the ACLU, Human Rights Watch and Chatham House. CRISPR pioneer Jennifer Doudna has called for a similar effort to establish guidelines for synthetic biology, especially as it relates to germ-line editing.

Either Way, We Pay the Price

In a response to Mandelbrot’s paper in 1964 about the dangers of financial models, Cootner wrote that it forced economists “to face up in a substantive way to those uncomfortable empirical observations that there is little doubt most of us have had to sweep under the carpet until now.” He then added, “but surely before consigning centuries of work to the ash pile, we should like to have some assurance that all of our work is truly useless.”

In other words, the concerns were real, but the costs of addressing them seemed too great to bear. The era of financial engineering had begun and, although there were some hiccups along the way, such as a major stock market crash in 1987, things went relatively smoothly until the bottom fell out in 2008. It was only then that concepts like kurtosis and fat-tailed models came into wide-use to create more resilience in the system.

It was that same line of thinking that led congress to underfund our emergency medical stockpile to save money. It’s easy to underinvest today for a future risk that may never come. To many, it can even seem like the prudent thing to do. At any given time, the needs of the present can seem overwhelming. Borrowing from the future can help address those needs.

Yet as we’ve seen, in 2008 and 2020, eventually we pay the price, one way or another. Just as we will pay the price for some future catastrophe, whether it is a financial crisis, a pandemic, a climate event, social unrest or some other calamity. We can choose to invest in greater resilience now and save untold suffering in the future. We have that power.

Unfortunately, if recent events are any indication, we still haven’t learned our lesson.

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

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Open Source Innovation is Sharing for Greater Impact

Open Source Innovation is Sharing for Greater Impact

GUEST POST from Art Inteligencia

For decades, the competitive landscape has been dominated by a zero-sum mentality: innovation was a tightly guarded secret, proprietary technology was the ultimate moat, and intellectual property was a weapon. But as a human-centered change and innovation thought leader, I argue that this closed-loop model is becoming increasingly obsolete in a world defined by exponential complexity and interconnected challenges. The future belongs to a more expansive, collaborative paradigm: Open Source Innovation. This isn’t just a technical methodology for software development; it’s a profound strategic philosophy that leverages collective intelligence, accelerates problem-solving, and cultivates an ecosystem of shared value. It’s about moving from a mindset of hoarding knowledge to one of sharing for greater impact, proving that when you give away your best ideas, you often get something far more valuable in return.

The core principle of open source innovation is simple yet radical: by making certain intellectual assets (code, designs, data, research) freely available for others to use, modify, and distribute, you tap into a global network of talent and creativity that far surpasses the capacity of any single organization. This collaborative ecosystem drives faster iteration, more robust solutions, and greater societal benefit. The perceived “loss” of proprietary control is vastly outweighed by the gains in adoption, collective improvement, and the establishment of industry standards. It’s a human-centered approach to problem-solving, built on trust, transparency, and a shared belief that many minds are better than one, especially when tackling grand challenges.

The Strategic Imperatives of Open Source Innovation

Embracing open source innovation requires a significant shift in corporate culture and strategy. It’s about strategically deciding *what* to open and *how* to engage with the community:

  • 1. De-Risking and Acceleration: By exposing nascent ideas or foundational technologies to a wider community, you gain diverse perspectives, catch bugs faster, and accelerate development cycles. The collective scrutiny and contribution dramatically de-risk the innovation process.
  • 2. Building Ecosystems and Standards: Open sourcing foundational technologies can establish them as industry standards, creating network effects that benefit everyone, including the original contributor. It fosters a collaborative ecosystem that attracts talent and partners.
  • 3. Enhancing Trust and Transparency: In an era of increasing skepticism, open source demonstrates a commitment to transparency and community. It builds trust by showing a willingness to share, inviting external review and collaboration.
  • 4. Focusing on Higher-Value Activities: By open-sourcing non-differentiating “commodity” components, organizations can free up internal resources to focus on proprietary innovations that truly create unique value and competitive advantage.

“True innovation is not found in guarding secrets, but in inspiring shared discovery. Open source is the engine of collective genius.” — Braden Kelley


Case Study 1: Linux – The OS Built by the World

The Challenge:

In the early days of personal computing, operating systems were proprietary, expensive, and controlled by a few large corporations. This limited access, stunted innovation, and created vendor lock-in. The challenge was to create a robust, reliable, and accessible operating system that could compete with commercial giants without the resources of a corporate entity.

The Open Source Solution:

In 1991, Linus Torvalds released the initial version of the Linux kernel under an open-source license. This simple act invited developers worldwide to contribute, audit, and improve the code. What started as a personal project rapidly evolved into a global collaborative effort, harnessing the collective genius of thousands of programmers. The open development model allowed for:

  • Rapid Iteration: Bugs were found and fixed faster, and new features were integrated at an unprecedented pace.
  • Community Ownership: Developers felt a deep sense of ownership, driving unparalleled commitment and quality.
  • Unprecedented Customization: The open nature allowed Linux to be adapted for an incredible array of devices, from supercomputers to smartphones (Android is built on a Linux kernel).

The Human-Centered Result:

Linux fundamentally reshaped the technology landscape. It provided a powerful, free, and incredibly flexible operating system that became the backbone of the internet, enterprise servers, and mobile devices. It democratized access to powerful computing, fostering an explosion of innovation that would have been impossible under a proprietary model. Linux is the ultimate testament to the power of shared intellectual capital, proving that collective endeavor can create solutions far more robust and impactful than any single corporate entity.


Case Study 2: Arduino – Democratizing Hardware Innovation

The Challenge:

Microcontroller platforms, essential for building electronic prototypes and interactive objects, were traditionally complex, expensive, and geared towards professional engineers. This created a high barrier to entry for artists, designers, educators, and hobbyists who wanted to innovate with hardware.

The Open Source Solution:

In 2005, the Arduino project was launched, offering an open-source hardware and software platform. The physical circuit boards (hardware schematics) and the integrated development environment (software) were made freely available under open licenses. This meant anyone could build their own Arduino board, modify its software, or create extensions. This open approach led to:

  • Massive Accessibility: Lower cost and simpler programming made electronics accessible to a non-expert audience.
  • Explosive Innovation: A global community emerged, sharing thousands of projects, tutorials, and libraries, collectively innovating on the platform far beyond what a single company could achieve.
  • Educational Impact: Arduino became a staple in STEM education, teaching foundational principles of coding and electronics.

The Human-Centered Result:

Arduino revolutionized the maker movement and democratized access to hardware innovation. It empowered countless individuals to turn their ideas into tangible prototypes, leading to everything from home automation systems to interactive art installations and educational robots. By choosing an open-source model, Arduino didn’t just sell products; it built a vibrant ecosystem of creators and learners, proving that sharing foundational technology can unlock exponential human creativity and societal impact.


Conclusion: The Future is Collaborative, Not Proprietary

The lessons from open source are clear: in an increasingly complex world, no single organization holds a monopoly on good ideas or the talent to execute them. The greatest innovations often emerge from the intersections of diverse perspectives and collaborative efforts. Open source innovation is not about altruism alone; it is a powerful strategic choice that fosters speed, resilience, and an unprecedented capacity for solving shared challenges.

Leaders must actively explore how to strategically embrace open source principles—whether by contributing to existing projects, open-sourcing internal non-core technologies, or fostering a culture of internal transparency. By moving beyond a mindset of proprietary hoarding to one of strategic sharing, organizations can tap into the collective genius of the world, driving greater impact, building stronger ecosystems, and ultimately, ensuring a more innovative and collaborative future for all.

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.

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How Do You Measure Power?

How Do You Measure Power?

GUEST POST from Geoffrey A. Moore

In a recent blog, I argued that management needs to be accountable not only for delivering current performance but also for investing in power initiatives that will fuel future performance. Compensation systems that focus solely on the former too often result in a hollowing out of the enterprise, as we have seen with any number of iconic companies that have “performed” their way to the sidelines.

But this begs a key question—how do you measure power? Specifically, what kind of metrics could supply a stable foundation for management accountability and executive compensation?

In my book Escape Velocity, when discussing managing for shareholder value, we introduced a framework called the Hierarchy of Powers. The idea is that investors, who are buying a share of your enterprise’s future performance, value your company based on how much power they think it has relative to other investments they could be making. In this context, we claimed there were five classes of power that got evaluated in the following order of priority:

  1. Category Power. Is your core business in a category that is growing, stable, or declining? This, we claimed, is the single biggest predictor of future performance.
  2. Company Power. Within that category, where is your company in the pecking order of companies? If you are number one, that is a huge advantage. If you are number two, it also provides tailwinds. After that, there are no more tailwinds to be had.
  3. Market Power. For companies that focus on one or more vertical markets, is your company the default choice for major prospects and customers in that segment? Wherever this is the case, it gives a material boost to your sales momentum and thus your company’s valuation.
  4. Offer Power. Do you get preference and/or premium pricing due to the differentiation of your offer? Do you win the lion’s share of any competitive bake-offs?
  5. Execution Power. Do you have a history of meeting or beating guidance on a consistent basis?

The model has stood up well over the years, but there is still the question of how to ensure accountability for investing in power when so much of our attention (and compensation) is focused on creating the next quarter’s performance. To that end, my colleague Philip Lay and I have been sorting through objective measures that signal material gains in power, ones that executive teams could readily track, and compensation programs could use to calibrate bonuses.

Here’s what we propose should be the top two metrics for each class of power:

Category Power. The focus here is on portfolio valuation—how many categories does the enterprise participate in, and how is each category faring. Meaningful changes in category power typically come through M&A, often supplementing organic innovation that is looking to scale quickly. Top two metrics for each category assessed:

  1. Category Maturity Life Cycle status. The key stages are secular growth, cyclical growth, stagnant, and declining.
  2. Technology Adoption Life Cycle status. This model focuses specifically on the period of secular growth, breaking it up into the following stages: Early Market, Chasm, Beachhead, Bowling Alley, Tornado, and Main Street. The two big valuation changers are winning a beachhead market segment in the Bowling Alley and participating with meaningful share in the Tornado.

Company Power. In high-growth categories, the focus is on bookings growth and competitive win rates. In mature categories, it is on the stability of the installed base as well as bargaining power both with suppliers and with customers. The top two metrics are:

  1. Market share within each category. By far the most important metric, as market ecosystems organize around and give preference to the category leader.
  2. Balanced mix of power and performance categories. For global enterprises, in particular, portfolio balance creates optionality to deal with both bull and bear markets.

Market Power. In emerging categories, dominating a target market segment, as opposed to merely participating in it, is critical to crossing the chasm and creating a sustainable franchise. In mature categories, target market segment focus is key to creating above-market growth. The top two metrics are:

  1. Segment share. The most important metric because ecosystems that serve market segments organize around a segment leader only when it has dominant segment share.
  2. Growth rates within target market segments. This is particularly important in any economic downturn that impacts different market segments to highly varying extents.

Offer Power. This metric and the next are closely aligned with delivering performance in the current fiscal year. That said, they still signal successful investments in power. The top two power metrics are:

  1. Magic quadrant status. This is the most widely circulated third-party measure of offer power.
  2. Win/loss record in head-to-head competitions. This is the most credible measure of offer power.

Execution Power. This really is the land of performance, but there is still power in reputation. Top two metrics are:

  1. History of “meeting or beating” commits, be they forecast or, release dates. This is what gives confidence to customers and partners to give your team the nod.
  2. Customer success metrics. These include Net Expansion Rate, Net Retention Rate, and Promoter Score, all of which validate that you are keeping your sales promises.

Guidelines for Using the Metrics

Metrics are a device to ensure visibility and accountability, and nowhere is this more important than when dealing with something as abstract as power. The key is to associate the right metrics with the right people, the ones who can have the most impact on the level of power in question. This works out as follows:

  • Top Executives: Category Power, Company Power. The two key levers here are using M&A to strategic advantage and using the annual budgeting process to allocate resources asymmetrically to achieve strategic objectives.
  • Middle Management: Market Power, Offer Power. The two key levers here are using market segmentation to strategic advantage and allocating the resources under your control asymmetrically to achieve dominant shares in target market segments.
  • Front Line: Execution Power. The key lever here is to align and focus the resources under your control or influence them in order to deliver the performance you have committed to.

For purposes of compensation, promotion, and overall alignment, these metrics align well with OKR objectives and can be used wherever OKRs are focused on increasing power. Again, the goal is not to replace performance metrics but rather to complement them.

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

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Tailoring Experiences at Scale

The Power of Personalization

Tailoring Experiences at Scale

GUEST POST from Chateau G Pato

For decades, the dominant logic in business was mass production and mass consumption. The goal was simple: optimize for the average customer. But in today’s hyper-connected, hyper-competitive marketplace, the average customer no longer exists. They are individuals demanding recognition, relevance, and respect for their unique context. As a human-centered change and innovation thought leader, I argue that the future of competitive advantage lies in mastering The Power of Personalization — the ability to deliver tailored, meaningful experiences to millions of people, simultaneously and seamlessly. This is the ultimate convergence of human-centered design and technological scale: using data and intelligence to make every single customer feel profoundly understood. Innovation must move beyond simple segmentation to anticipatory intimacy.

Personalization is not just about slapping a name on an email. True personalization is a strategic innovation challenge that addresses the fundamental human need for relevance. When a product, service, or communication is relevant, it eliminates friction, conserves the user’s valuable time, and builds trust. Conversely, irrelevant experiences create “digital noise,” foster annoyance, and actively erode loyalty. The challenge for leaders is to establish the infrastructure—both technical and human—that allows the organization to perceive, remember, and respond to the unique needs and behaviors of its individual customers, moving from a transaction-based relationship to a personalized partnership.

The Three Dimensions of Human-Centered Personalization

Effective personalization at scale requires a deliberate strategic focus across three integrated dimensions, ensuring that technology serves human purpose:

  • 1. Contextual Intelligence (The When and Where): Personalization fails when it is delivered out of context. This dimension involves using real-time behavioral data, location, time, and device context to deliver the right message at the exact moment of need. It’s about being helpful, not just interruptive. For example, offering a specific type of coffee to a regular when they step within range of their usual store, not hours later at home.
  • 2. Behavioral Prediction (The Anticipatory Insight): Moving beyond “what they bought” to “what they are about to need.” This requires deep data analytics to model future behavior and latent needs. The innovation here is in creating proactive experiences—solving a problem the customer hasn’t even fully articulated yet. This is the difference between recommending a product and recommending a solution to a future pain point.
  • 3. Ethical Transparency (The Trust Equation): The more personal your service, the higher the need for trust. Personalization must be built on a foundation of ethical consent and clarity. Customers must understand what data is being used, why it benefits them, and have meaningful control over it. Lack of transparency transforms personalization from helpful to “creepy,” immediately destroying the human relationship you were trying to build.

“The best personalization doesn’t guess the customer’s mind; it anticipates their next human need.”


Case Study 1: Netflix – Personalizing the Discovery Experience

The Challenge:

With thousands of titles in its library, Netflix faced a monumental human-centered challenge: choice overload. An average customer who spends too long searching often quits out of frustration, leading to churn. The vastness of the library became a liability rather than an asset.

The Personalization Solution:

Netflix innovated by turning its entire platform into a hyper-personalized discovery engine. Their personalization extends far beyond basic recommendation rows. They use data to:

  • Personalize Artwork: Displaying different title images for the same movie based on the viewer’s previous habits (e.g., showing a romantic image to a romance watcher, or an action scene to a thriller fan).
  • Personalize Rows: Creating unique rows that reflect highly specific taste segments (e.g., “Visually Stunning Sci-Fi Movies with a Strong Female Lead”).
  • Behavioral Prediction: Using complex algorithms to anticipate the titles most likely to be watched next, drastically reducing the cognitive effort required to choose.

The result is a service where the entire interface is tailored to the individual, solving the human problem of choice overload.

The Human-Centered Result:

By investing in personalization as its core product strategy, Netflix dramatically increased customer engagement and reduced churn. The experience feels curated and intimate, creating a strong sense of value. It proved that in the digital age, relevance is the killer feature, and the best way to innovate around a huge catalog is to make it feel small and tailored to each person.


Case Study 2: Spotify – Tailoring the Moment of Discovery

The Challenge:

The music world is characterized by an infinite library of new content. For Spotify, the challenge was helping users feel connected to new artists and music they would love, without relying solely on manual searching or static genre lists. The innovation needed to capture the highly personal, emotional nature of music discovery.

The Personalization Solution:

Spotify’s innovation, particularly the Discover Weekly playlist, is a masterclass in anticipatory personalization. The system uses a complex blend of collaborative filtering (what similar users like) and natural language processing (analyzing articles and blogs about music) to create a wholly unique, algorithmically-generated playlist for each user, delivered every Monday.

  • Contextual Delivery: The timing (Monday morning) positions the playlist as a fresh start and a soundtrack for the week.
  • Ethical Partnership: The playlist format feels like a gift from a trustworthy, knowledgeable friend, minimizing the “creepy” factor because the value exchange is clear: “We observe your taste, and in return, we give you this high-quality, personalized content.”

This system essentially turns data analysis into an act of creative, personalized curation.

The Human-Centered Result:

Discover Weekly became one of Spotify’s most successful features, driving massive engagement. It demonstrated that personalization can be an act of generosity, giving the user a valuable, curated product that is better than anything they could have created themselves. It solidified Spotify’s role not just as a music player, but as a trusted curator and partner in the user’s emotional relationship with music.


Conclusion: The Future of Business is Individual

The Power of Personalization is the core strategic challenge of our time. It requires leaders to embrace a fundamental truth: human connection scales. You don’t need to choose between mass market reach and intimate relationships; technology has finally allowed us to achieve both.

To succeed, organizations must move from seeing personalization as a marketing tactic to recognizing it as a holistic innovation imperative — a guiding principle for product design, service delivery, and ethical governance. By leveraging contextual intelligence and behavioral prediction with unwavering ethical transparency, we can create a future where every customer feels understood, valued, and served with a precision that delights. The most profitable innovations will be those that master the art of the individual experience, delivered on a global stage.

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

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Metrics for Purpose-Driven Innovation

Measuring What Matters

Metrics for Purpose-Driven Innovation

GUEST POST from Art Inteligencia

In the innovation world, we often fall into the trap of measuring what is easy, not what is essential. We celebrate vanity metrics—the number of patents filed, the size of the R&D budget, or the raw number of ideas generated—while the true measures of impact, those tied to human value and organizational purpose, remain stubbornly abstract. As a human-centered change and innovation thought leader, I am here to argue that the way we measure innovation fundamentally dictates the kind of innovation we pursue. If your metrics are focused solely on short-term financial returns, you will stifle the kind of purpose-driven, deeply impactful innovation that drives long-term success and true societal change. Measuring what matters means placing human outcomes at the heart of your data strategy.

Purpose-driven innovation requires a shift from Output Metrics (e.g., number of projects launched, revenue from new products) to Outcome Metrics (e.g., reduction in customer effort, improvement in employee well-being, quantifiable social impact). The goal is to create a holistic measurement system that tracks not just the financial success of an innovation, but its measurable contribution to the company’s stated mission and its impact on the people it serves. This is about establishing a direct, measurable link between your innovation efforts and your commitment to a future that is not just more profitable, but more human-centered.

The Purpose-Driven Metrics Framework

To accurately measure purpose-driven innovation, leaders must look beyond the balance sheet and adopt a three-tiered framework that captures the human, organizational, and strategic value being created:

  • 1. Human Impact Metrics (The “Heart”): These metrics quantify the change in user and employee experience. They are the strongest signal of purpose alignment. Examples include:
    • Customer Effort Score (CES): Did the innovation make the customer’s life measurably easier?
    • Well-being Index: How did the innovation impact employee stress, engagement, or capacity for deep work?
    • Reduction in Friction: Quantifying the time or steps saved for the user/employee.
  • 2. Learning & Agility Metrics (The “Mind”): These metrics track the efficiency and intelligence of the innovation pipeline itself, rewarding the behaviors that drive continuous change. Examples include:
    • Failure Rate of Experiments: A *healthy* failure rate (e.g., 7 out of 10 ideas fail) shows the team is taking enough risks.
    • Cycle Time Reduction: The time elapsed from ideation to testing.
    • Innovation Literacy Score: A measure of how well employees understand and engage with the innovation process.
  • 3. Purpose Alignment Metrics (The “Mission”): These metrics link innovation directly to the organization’s greater purpose, often encompassing Environmental, Social, and Governance (ESG) factors. Examples include:
    • Resource Efficiency: Reduction in waste, water, or energy use per unit of output.
    • Inclusion Score: Percentage of new products/services designed to explicitly serve previously underserved communities.
    • Social Value Creation (SVC): A quantifiable measure of positive social impact tied to the innovation’s core function.

“What you measure is what you become. Measure only money, and you’ll create a short-sighted organization. Measure purpose, and you’ll create a resilient future.”


Case Study 1: Patagonia – Measuring Environmental Footprint as a Core Metric

The Challenge:

For decades, Patagonia’s core mission has been “Build the best product, cause no unnecessary harm, use business to inspire and implement solutions to the environmental crisis.” The challenge was how to measure the success of innovation—a new jacket, a revised supply chain—against this specific purpose, rather than just against sales figures.

The Purpose-Driven Solution:

Patagonia innovated its measurement system by making environmental and social impact metrics non-negotiable in the product development lifecycle. They treat their Footprint Chronicles — a detailed public record of the environmental and social impact of their products, from raw material to delivery — as a core innovation metric. For any new product or material, the innovation team is primarily measured on metrics such as:

  • Percentage of Recycled Content: Did the innovation increase the use of recycled or regenerative materials?
  • Reduction in Water/Energy Use: Did the new manufacturing process measurably decrease resource intensity?
  • Fair Trade Certification: Is the innovation elevating the social standard of the supply chain?

The financial success of the product is a secondary, supportive metric. The primary goal is to minimize environmental harm, making purpose the leading indicator for investment.

The Human-Centered Result:

By prioritizing Purpose Alignment Metrics, Patagonia consistently drives innovations like the use of recycled polyester, organic cotton, and radical supply chain transparency. This strategic alignment has fostered fierce customer loyalty and premium pricing, proving that measuring and achieving purpose is the most effective path to enduring financial success.


Case Study 2: Microsoft – Quantifying AI’s Impact on Employee Productivity and Well-being

The Challenge:

Microsoft’s massive investment in AI and tools like Copilot threatened to fall into the classic trap of only measuring adoption or revenue. The true innovation challenge was demonstrating that AI didn’t just automate tasks, but measurably improved the human experience of work — making employees more creative, more focused, and less burdened by “digital debt.”

The Purpose-Driven Solution:

Microsoft developed sophisticated Learning & Agility and Human Impact Metrics to quantify the value of AI in a human-centered way. They moved beyond simple usage rates to metrics like:

  • Focus Time Recovery: Quantifying the number of uninterrupted work hours AI tools helped to create.
  • Meeting Load Reduction: Measuring the percentage decrease in unnecessary or redundant meetings.
  • Cognitive Load Score (in internal studies): Measuring the perceived mental effort required to complete tasks before and after AI integration.

These metrics directly link the technological innovation of AI to the human outcome of enhanced well-being and creativity.

The Human-Centered Result:

By measuring the quality of life improvements, Microsoft ensures its AI innovations are human-centered by design. This strategy allows them to prove that the core value of their technology is not just in efficiency, but in empowering human potential — freeing up time and mental capacity for the uniquely human tasks of judgment, creativity, and empathy. The emphasis on these metrics guides their development teams to optimize for human outcomes, creating a powerful feedback loop for purpose-driven innovation.


Conclusion: The Moral Compass of Measurement

The innovation landscape is complex, but the path to meaningful, resilient growth is clear: Measure your purpose first, and the profits will follow. Your metrics are your moral compass. If you measure only financial return, you will only create financial products. If you measure social impact, employee empowerment, and environmental stewardship, you will create innovations that build a better, more resilient future for everyone.

Leaders must champion this shift, insisting that every new project, product, or pivot carries a dedicated set of Human Impact and Purpose Alignment Metrics. This commitment moves your organization beyond simple performance and into the realm of true significance, proving that the greatest innovations are those that measure and maximize the value they create for humanity.

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.

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Why Small Teams Kick Ass

Why Small Teams Kick Ass

GUEST POST from Mike Shipulski

When you want new thinking or rapid progress, create a small team.

When you have a small team, they manage the hand-offs on their own and help each other.

Small teams hold themselves accountable.

With small teams, one member’s problem becomes everyone’s problem in record time.

Small teams can’t work on more than one project at a time because it’s a small team.

And when a small team works on a single project, progress is rapid.

Small teams use their judgment because they have to.

The judgment of small teams is good because they use it often.

On small teams, team members are loyal to each other and set clear expectations.

Small teams coordinate and phase the work as needed.

With small teams, waiting is reduced because the team members see it immediately.

When something breaks, small teams fix it quickly because the breakage is apparent to all.

The tight connections of a small team are magic.

Small teams are fun.

Small teams are effective.

And small teams are powered by trust.

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