The 10 Key Components of Future Studies

GUEST POST from Art Inteligencia

Smart organizations make an investment in the pursuit of future studies as part of their innovation activities. This investment is critical to the ongoing success of an organization because the wants and needs of customers change over time along with what’s possible from a technological, economical, and societal perspective. But many don’t know what future studies or futurology are or choose to focus on short-term profits over long-term viability and success. If you’re not clear on what future studies is, here are ten key components of the science of studying the future:

Scenario Planning: This involves looking at different possible outcomes and understanding the implications of each.

Trend Analysis: This involves looking at the trends in various areas such as politics, technology, and the environment.

Forecasting: This uses models, data, and historical information to predict future events.

Impact Assessment: This involves understanding the potential impact of changes in the environment, society and technology.

System Dynamics: This involves understanding the relationships between different elements of a system and how they might interact and evolve in the future.

Risk Analysis: This involves assessing the potential risks associated with different scenarios.

Trend Monitoring: This involves continuously monitoring trends and changes in the environment, society, and technology.

Technology Assessment: This involves understanding the implications of new technologies and how they might shape the future.

Social Analysis: This involves understanding the social, political, and economic forces that shape our world.

Futures Research: This involves researching and exploring potential futures to better prepare for them.

Breaking down the somewhat ephemeral topic of future studies into these subcomponents can make it not only more tangible, but also more feasible to fund and execute these activities in support of your innovation activities and the continuous renewal of both the relevance and resonance of your organization with its customers.

Bottom line: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Pexels

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Top 10 Human-Centered Change & Innovation Articles of December 2022

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Top 10 Human-Centered Change & Innovation Articles of December 2022 Drum roll please…

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

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

Forbidden Truth About Innovation — by Robyn Bolton

A Letter to Innovation Santa — by John Bessant

Preserving Ecosystems as an Innovation Superpower — by Pete Foley

What is a Chief Innovation Officer? — by Art Inteligencia

If You Can Be One Thing – Be Effective — by Mike Shipulski

How to Drive Fear Out of Innovation — by Teresa Spangler

3 Steps to Find the Horse’s A** In Your Company (and Create Space for Innovation) — by Robyn Bolton

Six Ways to Stop Gen-Z from Quiet Quitting — by Shep Hyken

Overcoming the Top 3 Barriers to Customer-Centricity — by Alain Thys

Designing Innovation – Accelerating Creativity via Innovation Strategy — by Douglas Ferguson

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

What Are Strategic and Market Foresight? — by Braden Kelley

Innovate for Good – Breaking Paradoxes — by Teresa Spangler

Leading Your Way Through Crisis — by Greg Satell

Innovating in a Downturn — by Geoffrey A. Moore

Brewing a Better Customer Experience — by Braden Kelley

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

Have something to contribute?

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

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

Top 40 Innovation Bloggers of 2020

Top 40 Innovation Bloggers of 2021

Top 40 Innovation Bloggers of 2022

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Creating Change That Lasts

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Creating Change That Lasts

GUEST POST from Greg Satell

When Lou Gerstner took over at IBM in 1993, the century-old tech giant was in dire straits. Overtaken by nimbler upstarts, like Microsoft in software, Compaq in hardware and Intel in microprocessors, it was hemorrhaging money. Many believed that it needed to be broken up into smaller, more focused units in order to compete.

Yet Gerstner saw it differently and kept the company intact, which led to one of the most dramatic turnarounds in corporate history. Today, more than a quarter century later, while many of its formal rivals have long since disappeared IBM is still profitable and on the cutting edge of many of the most exciting technologies.

That success was no accident. In researching my book, Cascades, I studied not only business transformations, but many social and political movements as well. What I found is that while most change efforts fail, the relatively few that succeed follow a pattern that is amazingly consistent. If you want to create change that lasts, here’s what you need to do.

Build Trust Through Shared Values

When Mahatma Gandhi returned to India, he began to implement a strategy of civil disobedience similar to what he had so successful in his campaigns in South Africa. He would later call this his Himalayan miscalculation. “Before a people could be fit for offering civil disobedience,” he later wrote, “they should thoroughly understand its deeper implications.”

One of the key tenets of transformation is that you can’t change fundamental behaviors without changing fundamental beliefs. So Gerstner, like Gandhi, first set out to change the culture within his organization. He saw that IBM had lost sight of its values. For example, the company had always valued competitiveness, but by the time he arrived much of that competitive energy was directed at fighting internal battles rather than in the marketplace.

“We needed to integrate as a team inside the company so that we could integrate for the customers on their premises,” Gerster would later say. “It flew in the face of what everybody did in their careers before I arrived there. It meant that we would share technical plans, we would move toward common technical standards and plans, we would not have individual transfer pricing between every product so that everybody could get their little piece of the customers’ money.”

He pushed these values constantly, through personal conversations, company emails, in the press and at company meetings. As Irving Wladawsky-Berger, one of Gerstner’s chief lieutenants, told me, “Lou refocused us all on customers and listening to what they wanted and he did it by example. We started listening to customers more because he listened to customers.”

Create a Clear Vision for the Future

At his very first press conference, Gerstner declared: “the last thing IBM needs right now is a vision.” So it was ironic that he developed a vision for the company within months into his tenure. What he noticed was that the culture within IBM had degraded to such an extent that it was hard to align its business units around a coherent strategy

Every change effort begins with a list of grievances. Sales are down, your industry is being disrupted or technology is passing you by. But until you are able to articulate a clear vision for how you want things to look in the future, any change is bound to be fleeting. For Gerstner at IBM, that vision was to put customers, rather than technology, at the center.

He started with a single keystone change, shifting IBM’s focus from its own “proprietary stack of technologies” to its customers’ “stack of business processes.” That focus on the customer was much more clear and tangible than simply “changing the culture.” It also would require multiple stakeholders to work together and pave the way for future change.

In my research, I found that every successful transformation, whether it was a political movement, a social movement or a business transformation, was able to identify a keystone change that paved the way for a larger vision. So if you want to bring about lasting transformation, that’s a great place to start.

Identify Support — And Opposition

Once Gerstner decided to focus his transformation strategy on IBM’s customers, he found that they were terrified at the prospect of the company failing or being broken up. They depended on IBM’s products to manage mission critical processes. They also needed a partner who could help them transition legacy technology to the Internet.

He also found that he could create new allies to support his mission. For example, IBM had a history of competing with application developers, but wasn’t making much money in the application business. So he started treating the application developers as true partners and gained their support.

Yet every significant change effort is bound to attract opposition as well. There will always be a certain faction that is so tied to the old ways of doing things that they will do whatever they can to undermine the transformation and IBM was no different. Some executives, for example, enjoyed the infighting and turf battles that had become the norm. Gerstner took a zero tolerance policy and even fired some senior executives who didn’t get with the program.

Compare that to Blockbuster Video. As I’ve noted before, the company actually devised a viable strategy to meet the Netflix threat but was unable to align internal stakeholders around that strategy.

Treat Transformation as a Journey, Not A Destination

Probably the most impressive thing about IBM’s turnaround in the 90s is how it has endured. Gerstner left the firm in 2002, and it has its share of ups and downs since then, but still rakes in billions in profit every year and continues to innovate in cutting edge areas such as blockchain and quantum computing.

“The Gerstner revolution wasn’t about technology or strategy, it was about transforming our values and our culture to be in greater harmony with the market,” Wladawsky-Berger told me. “Because the transformation was about values first and technology second, we were able to continue to embrace those values as the technology and marketplace continued to evolve.”

That’s what sets those that succeed from those who fail. You can’t bet your future on a particular strategy, program or tactic, because the future will always surprise us. It is how you align people behind a strategy, through forging shared values and building trust, that will determine whether change endures.

Perhaps most of all, you need to understand that transformation is always a journey, never a destination. Success is never a straight line. There will be ups and downs. But if you keep fighting for a better tomorrow, you will not only be able to bring about the change you seek, but the next ones after that as well.

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

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Five Keys to Better Future Prediction

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Five Keys to Better Future Prediction

GUEST POST from Art Inteligencia

With the dawn of 2023 our minds naturally gravitate towards wondering what the future holds and possibly even trying to predict the future.

But, predicting the future is an incredibly difficult task. It requires a combination of skills to make accurate predictions, including the ability to analyze trends, identify patterns, and think strategically. In this article, we’ll discuss the five key skills needed to accurately predict the future.

1. Trend Analysis: To make accurate predictions, you’ll need to be able to analyze trends and identify patterns. Knowing which trends are likely to continue, and which may be waning, is essential in predicting the future. Paying attention to changes in the market, technology, and other areas can help you identify patterns that could be important in predicting the future.

2. Strategic Thinking: Strategic thinking is an important skill for predicting the future. Being able to anticipate the consequences of certain events and decisions can be invaluable in predicting the future. Strategic thinkers are able to see how changes can affect the long-term, and can make informed decisions based on their analysis.

3. Data Analysis: Being able to analyze data is also essential for predicting the future. Data analysis allows you to identify patterns, trends, and correlations that provide insight into how the future could unfold. Knowing how to interpret data is key for making accurate predictions about the future.

4. Forecasting: Forecasting involves predicting future events and trends based on past data. This requires the ability to identify patterns and trends and use them to predict the future. Being able to accurately forecast future events and trends is essential for making predictions about the future.

5. Problem-Solving: Being able to solve problems is also essential for predicting the future. In order to make accurate predictions, you’ll need to be able to identify potential problems and develop solutions. This requires the ability to think critically and creatively.

Overall, predicting the future requires a combination of skills. Being able to analyze trends, identify patterns, think strategically, interpret data, forecast, and solve problems are all essential skills for making accurate predictions about the future. With practice and dedication, anyone can develop these skills and become better at predicting the future.

Image credit: Pixabay

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Top 40 Innovation Bloggers of 2022

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After a week of torrid voting and much passionate support, along with a lot of gut-wrenching consideration and jostling during the judging round, I am proud to announce your Top 40 Innovation Bloggers of 2022:

Robyn Bolton
Robyn M. Bolton works with leaders of mid and large sized companies to use innovation to repeatably and sustainably grow their businesses.

Janet Sernack
Janet Sernack is the Founder and CEO of ImagineNation™ which provides innovation consulting services to help organizations adapt, innovate and grow through disruption by challenging businesses to be, think and act differently to co-create a world where people matter & innovation is the norm.

Greg Satell
Greg Satell is a popular speaker and consultant. His first book, Mapping Innovation: A Playbook for Navigating a Disruptive Age, was selected as one of the best business books in 2017. Follow his blog at Digital Tonto or on Twitter @Digital Tonto.

Mike Shipulski
Mike Shipulski brings together people, culture, and tools to change engineering behavior. He writes daily on Twitter as @MikeShipulski and weekly on his blog Shipulski On Design.

Braden Kelley
Braden Kelley is a Human-Centered Experience, Innovation and Transformation consultant at HCL Technologies, a popular innovation speaker, workshop leader, and creator of the Human-Centered Change™ methodology. He is the author of Stoking Your Innovation Bonfire from John Wiley & Sons and Charting Change from Palgrave Macmillan. Follow him on Linkedin, Twitter, Facebook, or Instagram.

Teresa Spangler
Teresa Spangler is the CEO of PlazaBridge Group has been a driving force behind innovation and growth for more than 30 years. Today, she wears multiple hats as a social entrepreneur, innovation expert, growth strategist, author and speaker (not to mention mother, wife, band-leader and so much more). She is especially passionate about helping CEOs understand and value the role human capital plays in innovation, and the impact that innovation has on humanity; in our ever-increasing artificial/cyber world.

Douglas Ferguson
Douglas Ferguson is an entrepreneur and human-centered technologist. He is the founder and president of Voltage Control, an Austin-based change agency that helps enterprises spark, accelerate, and sustain innovation. He specializes in helping teams work better together through participatory decision making and design inspired facilitation techniques.

John Bessant
John Bessant has been active in research, teaching, and consulting in technology and innovation management for over 25 years. Today, he is Chair in Innovation and Entrepreneurship, and Research Director, at Exeter University. In 2003, he was awarded a Fellowship with the Advanced Institute for Management Research and was also elected a Fellow of the British Academy of Management. He has acted as advisor to various national governments and international bodies including the United Nations, The World Bank, and the OECD. John has authored many books including Managing innovation and High Involvement Innovation (Wiley). Follow @johnbessant

Shep Hyken
Shep Hyken is a customer service expert, keynote speaker, and New York Times, bestselling business author. For information on The Customer Focus™ customer service training programs, go to www.thecustomerfocus.com. Follow on Twitter: @Hyken

Pete Foley
A twenty-five year Procter & Gamble veteran, Pete has spent the last 8+ years applying insights from psychology and behavioral science to innovation, product design, and brand communication. He spent 17 years as a serial innovator, creating novel products, perfume delivery systems, cleaning technologies, devices and many other consumer-centric innovations, resulting in well over 100 granted or published patents. Find him at pete.mindmatters@gmail.com

Geoffrey A. Moore
Geoffrey A. Moore is an author, speaker and business advisor to many of the leading companies in the high-tech sector, including Cisco, Cognizant, Compuware, HP, Microsoft, SAP, and Yahoo! Best known for Crossing the Chasm and Zone to Win with the latest book being The Infinite Staircase. Partner at Wildcat Venture Partners. Chairman Emeritus Chasm Group & Chasm Institute

Soren Kaplan
Soren Kaplan is the bestselling and award-winning author of Leapfrogging and The Invisible Advantage, an affiliated professor at USC’s Center for Effective Organizations, a former corporate executive, and a co-founder of UpBOARD. He has been recognized by the Thinkers50 as one of the world’s top keynote speakers and thought leaders in business strategy and innovation.

Steve Blank
Steve Blank is an Adjunct Professor at Stanford and Senior Fellow for Innovation at Columbia University. He has been described as the Father of Modern Entrepreneurship, credited with launching the Lean Startup movement that changed how startups are built; how entrepreneurship is taught; how science is commercialized, and how companies and the government innovate.

Arlen Meyers
Arlen Meyers, MD, MBA is an emeritus professor at the University of Colorado School of Medicine, an instructor at the University of Colorado-Denver Business School and cofounding President and CEO of the Society of Physician Entrepreneurs at www.sopenet.org. Linkedin: https://www.linkedin.com/in/ameyers/

Jesse Nieminen
Jesse Nieminen is the Co-founder and Chairman at Viima, the best way to collect and develop ideas. Viima’s innovation management software is already loved by thousands of organizations all the way to the Global Fortune 500. He’s passionate about helping leaders drive innovation in their organizations and frequently writes on the topic, usually in Viima’s blog.

Alain Thys
As an experience architect, Alain helps leaders craft customer, employee and shareholder experiences for profit, reinvention and transformation. He does this through his personal consultancy Alain Thys & Co as well as the transformative venture studio Agents of A.W.E. Together with his teams, Alain has influenced the experience of over 500 million customers and 350,000 employees. Follow his blog or connect on Linkedin.

David Burkus
Dr. David Burkus is an organizational psychologist and best-selling author. Recognized as one of the world’s leading business thinkers, his forward-thinking ideas and books are helping leaders and teams do their best work ever. David is the author of five books about business and leadership and he’s been featured in the Wall Street Journal, Harvard Business Review, CNN, the BBC, NPR, and more. A former business school professor turned sought-after international speaker, he’s worked with organizations of all sizes and across all industries.

Diana Porumboiu
Diana heads marketing at Viima, the most widely used and highest rated innovation management software in the world, and has a passion for innovation, and for genuine, valuable content that creates long-lasting impact. Her combination of creativity, strategic thinking and curiosity has helped organisations grow their online presence through strategic campaigns, community management and engaging content.

Art Inteligencia
Art Inteligencia is the lead futurist at Inteligencia Ltd. He is passionate about content creation and thinks about it as more science than art. Art travels the world at the speed of light, over mountains and under oceans. His favorite numbers are one and zero.

Howard Tiersky
Howard Tiersky is an inspiring and passionate speaker, the Founder and CEO of FROM, The Digital Transformation Agency, innovation consultant, serial entrepreneur, and the Wall Street Journal bestselling author of Winning Digital Customers: The Antidote to Irrelevance. IDG named him one of the “10 Digital Transformation Influencers to Follow Today”, and Enterprise Management 360 named Howard “One of the Top 10 Digital Transformation Influencers That Will Change Your World.”

Paul Sloane
Paul Sloane writes, speaks and leads workshops on creativity, innovation and leadership. He is the author of The Innovative Leader and editor of A Guide to Open Innovation and Crowdsourcing, both published by Kogan-Page.

Bruce Fairley
Bruce Fairley is the CEO and Founder of The Narrative Group, a firm dedicated to helping C-Suite executives build enterprise value. Through smart, human-powered digital transformation, Bruce optimizes the business-technology relationship. His innovative profit over pitfalls approach and customized programs are part of Bruce’s mission to build sustainable ‘best-future’ outcomes for visionary leaders. Having spearheaded large scale change initiatives across four continents, he and his skilled, diverse team elevate process, culture, and the bottom line for medium to large firms worldwide.

Patricia Salamone
Patricia Salamone is a career strategist having worked across the financial services, CPG, media and telecom sectors – seeking resonance with every problem she is hired to solve. Patricia sees innovation through the lens of human need, framing what is to be solved not through the problem at hand, but rather the mystery to be unraveled. Patricia is currently an Account Strategist at Gongos, Inc.

Dainora Jociute
Dainora (a.k.a. Dee) creates customer-centric content at Viima. Viima is the most widely used and highest rated innovation management software in the world. Passionate about environmental issues, Dee writes about sustainable innovation hoping to save the world – one article at the time.

Dean and Linda Anderson
Dr. Dean Anderson and Dr. Linda Ackerman Anderson lead BeingFirst, a consultancy focused on educating the marketplace about what’s possible in personal, organizational and community transformation and how to achieve them. Each has been advising clients and training professionals for more than 40 years.

Brian Miller
Brian Miller is the senior VP, strategic development, at BMNT Inc., an internationally recognized innovation consultancy and early-stage enterprise accelerator that is changing the future of public service innovation.

Phil McKinney
Phil McKinney is the Author of “Beyond The Obvious”, Host of the Killer Innovations Podcast and Syndicated Radio Show, a Keynote Speaker, President & CEO CableLabs and an Innovation Mentor and Coach.

Tom Stafford
Tom Stafford studies learning and decision making. His main focus is the movement system – the idea being that if we can understand the intelligence of simple actions we will have an excellent handle on intelligence more generally. His research looks at simple decision making, and simple skill learning, using measures of behaviour informed by the computational, robotics and neuroscience work done in the wider group.

Ralph Christian Ohr
Dr. Ralph-Christian Ohr has extensive experience in product/innovation management for international technology-based companies. His particular interest is targeted at the intersection of organizational and human innovation capabilities. You can follow him on Twitter @Ralph_Ohr.

Jeffrey Phillips
Jeffrey Phillips has over 15 years of experience leading innovation in Fortune 500 companies, federal government agencies and non-profits. He is experienced in innovation strategy, defining and implementing front end processes, tools and teams and leading innovation projects. He is the author of Relentless Innovation and OutManeuver. Jeffrey writes the popular Innovate on Purpose blog. Follow him @ovoinnovation

Shilpi Kumar
Shilpi Kumar an inquisitive researcher, designer, strategist and an educator with over 15 years of experience, who truly believes that we can design a better world by understanding human behavior. I work with organizations to identify strategic opportunities and offer user-centric solutions.

Robert B Tucker
Robert B. Tucker is the President of The Innovation Resource Consulting Group. He is a speaker, seminar leader and an expert in the management of innovation and assisting companies in accelerating ideas to market.

Norbert Majerus and George Taninecz
Norbert Majerus is a popular keynote speaker and consultant. His latest book, Winning Innovation – How Innovation Excellence Propels an Industry Icon Toward Sustained Prosperity, is available now. Follow him on LinkedIn or visit leandriveninnovation.com. For more than 20 years, George, as president of George Taninecz Inc., has helped executives publish award-winning books that illustrate applications of lean thinking. He also supports companies and associations with white papers, articles, and case studies on the deployment of lean in manufacturing, healthcare, and other industries.

Farnham Street
Farnham Street focuses on helping you master the best of what other people have already figured out.

Scott Anthony
Scott Anthony is a strategic advisor, writer and speaker on topics of growth and innovation. He has been based in Singapore since 2010, and currently serves at the Managing Director of Innosight’s Asia-Pacific operations.

Anthony Mills
Anthony Mills is the Founder & CEO of Legacy Innovation Group (www.legacyinnova.com), a world-leading strategic innovation consulting firm working with organizations all over the world. Anthony is also the Executive Director of GInI – Global Innovation Institute (www.gini.org), the world’s foremost certification, accreditation, and membership organization in the field of innovation. Anthony has advised leaders from around the world on how to successfully drive long-term growth and resilience through new innovation. Learn more at www.anthonymills.com. Anthony can be reached directly at anthony@anthonymills.com.

Paul Hobcraft
Paul Hobcraft runs Agility Innovation, an advisory business that stimulates sound innovation practice, researches topics that relate to innovation for the future, as well as aligning innovation to organizations core capabilities. Follow @paul4innovating

Jorge Barba
Jorge Barba is a strategist and entrepreneur, who helps companies build new puzzles using human skills. He is a global Innovation Insurgent and author of the innovation blog www.Game-Changer.net

Nicholas Longrich
Nicholas Longrich is a senior lecturer in evolutionary biology and paleontology at the University of Bath. He is interested in how and why the world is the way it is and studies dinosaurs, among other things—pterosaurs, fossil birds, lizards and snakes.

Rachel Audige
Rachel Audige is an Innovation Architect who helps organisations embed inventive thinking as well as a certified Systematic Inventive Thinking Facilitator, based in Melbourne.

If your favorite didn’t make the list, then next year try to rally more votes for them or convince them to increase the quality and quantity of their contributions.

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

Download PDF versions of the Top 40 Innovation Bloggers of 2020, 2021 and 2022 lists here:

. . .

Happy New Year everyone!

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Winning in a Downturn Requires Delivering the Whole Product

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Winning in a Downturn Requires Delivering the Whole Product

GUEST POST from Geoffrey A. Moore

In a downturn, everyone has to prioritize. For sales prospects, this means funding their most pressing needs first. For vendors who want to thrive, it means focusing on offers that match those needs, marketing that speaks to those needs, and sales coverage that is targeted specifically at winning those deals. And the key to winning is to deliver the whole product.

The whole product, as Ted Levitt taught us a generation ago, is the complete set of products and services needed to fulfill the compelling reason to buy for the target customer. In normal times, it is often OK to deliver most of the whole product, as either the customer or a channel partner will likely have resources and motive to fill in the rest. But in a downturn, not only are budgets scarce, so is expertise. Moreover, in a downturn, it is more critical than ever to deliver 100% on the promised outcome, as the customer is counting on that ROI to make their plans work.

Creating a bill of materials for your whole product is a straight exercise in design thinking. Just put yourself in the shoes of your target customer, get the compelling reason to buy square in your sights, and figure out what you would need to take that problem completely off the table. Once you have a draft, then test drive it with friendly prospects and let them show you all the things you missed. Take that input back to the team and construct a go-to-market offer that fills the bill, with every need taken care of. That’s what’s going to differentiate you from the competition. That’s what’s going to get you not only the sale but a radiating customer reference. That’s what’s going to let you thrive in a downturn.

Start-ups have an inherent advantage here over established enterprises because for them a single whole product focused on a single target market with an urgent use case is enough to get them across the chasm and into the mainstream market as a viable long-term player. But product managers in established enterprises can orchestrate the same play if they can garner executive support. The trick is to get the product team to prioritize some slightly off-road-map features, the service team to create a small corps of use-case experts, and the go-to-market team to field a dedicated target market initiative. The resources are always there to do this, but the inertial momentum of large enterprises works against such tightly focused efforts—hence the advantage to start-ups.

Whole product delivery has been greatly advanced by two seminal developments in the software world in this century. The first is the SaaS business model, especially when augmented by managed services. This transfers a large portion of success responsibility from the customer to the vendor. The second is the emergence of telemetry data processed by AI and ML. This allows service providers to get better and better at delivering customer success.

One company I am on the board of illustrates these advantages to a T. WorkFusion, experts in Intelligent Robotic Automation, no longer offer high-tech projects to early adopting visionaries. Instead, they supply digital workers to financial services companies needing to staff their regulatory compliance functions in a time of staff attrition (the job really is not that much fun) and high demand (the crooks are out in force). The point is, their digital workers do not just automate a task—they act like real colleagues who do the work and deliver the needed results. You can fund them out of the IT budget, of course, but you can also fund them out of your HR headcount (and they are a lot cheaper, don’t mind coming to the office, and actually appear to enjoy their work—certainly the people that program them do).

The key takeaway here is that downturns create new, pressing needs that prospects will prioritize over their traditional budget spend. These are problems that are both urgent and important—real threats that need to be addressed quickly and efficiently. To thrive in a downturn, you need to detect these opportunities quickly and pivot to meet them head on and let the other chips fall where they may.

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

Image Credit: Pexels

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Pele and Vivienne Westwood – Innovators Lost

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Pele and Vivienne Westwood - Innovators Lost

GUEST POST from Pete Foley

The loss of Pele and Vivienne Westwood, two giants of innovation in their respective fields, marks a sad end to 2022. But both left legacies that can inspire us as we navigate a likely challenging New Year.

Humble Beginnings: Both rose from humble beginnings to become national and international institutions. Pele was an artist with a football, Westwood with fabric and design. Both were resilient, multifaceted, creative, and had the courage to challenge the status quo. Pele famously honed his football skills by kicking around grapefruits in desperately poor neighborhood. Westwood originated from humble British working-class origins, where her parents were factory and mill workers.

Pele was a complete footballer, talented with head, foot and mind. He was both creative and practical, and turned football into an art form. A graceful embodiment of the beautiful game, he invented moves, and developed techniques and skills that not only entertained, but that also created a new technical platform for future masters such as Cruyff, Neymar and Messi. But he was also extremely successful, winning three world cups, and scoring over 700 goals for club and country. Furthermore, he was a great ambassador for Brazil and for football. But perhaps most important of all, he was an inspiration to countless youngsters. He embodied that hard work, hard earned skill, a creative mindset and a passionate work ethic could forge a path from poverty to success. A model that inspired many in sports and beyond.

Westwood was similarly both skilled and creatively fearless. She emerged as part of the leading edge of the punk scene in the UK, closely entwined with Malcolm McLaren and the Sex Pistols. But after splitting with McLaren, she forged her own unique and highly successful path. She blended historical materials and fashion references with post-punk individualism to create emergent, maverick designs. Designs that somewhat ironically mainstreamed and embodied British eccentricity, but that also held global appeal. Like Pele, she was a leader who saw things before anyone else in her field, and ultimately, as the first Dame of Punk, turned that vision into both financial and social success.

Nobody lives forever, and few get to reach the heights of Pele or Westwood. But we can all hopefully learn a little from them. But were leaders, unafraid to follow their own vision. Both were resilient, with the courage and belief to overcame hardship and challenges. Both blended existing norms in new ways to create new, emergent forms. They didn’t just stand on, but rose above, the shoulders of giants. Both are missed, but both live on both in the legacy and lessons they leave

Published simultaneously on LinkedIn

Image credit: Unsplash

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The Human-AI Co-Pilot

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Redefining the Creative Brief for Generative Tools

The Human-AI Co-Pilot

GUEST POST from Art Inteligencia

The dawn of generative AI (GenAI) has ushered in an era where creation is no longer constrained by human speed or scale. Yet, for many organizations, the promise of the AI co-pilot remains trapped in the confines of simple, often shallow prompt engineering. We are treating these powerful, pattern-recognizing, creative machines like glorified interns, giving them minimal direction and expecting breakthrough results. This approach fundamentally misunderstands the machine’s capability and the new role of the human professional—which is shifting from creator to strategic editor and director.

This is the fundamental disconnect: a traditional creative brief is designed to inspire and constrain a human team—relying heavily on shared context, nuance, and cultural shorthand. An AI co-pilot, however, requires a brief that is explicitly structured to transmit strategic intent, defined constraints, and measurable parameters while leveraging the machine’s core strength: rapid, combinatorial creativity.

The solution is the Human-AI Co-Pilot Creative Brief, a structured document that moves beyond simple what (the output) to define the how (the parameters) and the why (the strategic goal). It transforms the interaction from one of command-and-response to one of genuine, strategic co-piloting.

The Three Failures of the Traditional Prompt

A simple prompt—”Write a blog post about our new product”—fails because it leaves the strategic and ethical heavy lifting to the unpredictable AI default:

It Lacks Strategic Intent: The AI doesn’t know why the product matters to the business (e.g., is it a defensive move against a competitor, or a new market entry?). It defaults to generic, promotional language that lacks a strategic purpose.
It Ignores Ethical Guardrails: It provides no clear instructions on bias avoidance, data sourcing, or the ethical representation of specific communities. The risk of unwanted, biased, or legally problematic output rises dramatically.
It Fails to Define Success: The AI doesn’t know if success means 1,000 words of basic information, or 500 words of emotional resonance that drives a 10% click-through rate. The human is left to manually grade subjective output, wasting time and resources.

The Four Pillars of the Human-AI Co-Pilot Brief

A successful Co-Pilot Brief must be structured data for the machine and clear strategic direction for the human. It contains four critical sections:

1. Strategic Context and Constraint Data

This section is non-negotiable data: Brand Voice Guidelines (tone, lexicon, forbidden words), Target Persona Definition (with explicit demographic and psychographic data), and Measurable Success Metrics (e.g., “Must achieve a Sentiment Score above 75” or “Must reduce complexity score by 20%”). The Co-Pilot needs hard, verifiable parameters, not soft inspiration.

2. Unlearning Instructions (Bias Mitigation)

This is the human-centered, ethical section. It explicitly instructs the AI on what cultural defaults and historical biases to avoid. For example: “Do not use common financial success clichés,” or “Ensure visual representations of leadership roles are diverse and avoid gender stereotypes.” This actively forces the AI to challenge its training data and align with the brand’s ethical standards.

3. Iterative Experimentation Mandates

Instead of asking for one final product, the brief asks for a portfolio of directed experiments. This instructs the AI on the dimensions of variance to explore (e.g., “Generate 3 headline clusters: 1. Fear-based urgency, 2. Aspiration-focused long-term value, 3. Humorous and self-deprecating tone”). This leverages the AI’s speed to deliver human-directed exploration, allowing the human to focus on selection, refinement, and A/B testing—the high-value tasks.

4. Attribution and Integration Protocol

This section ensures the output is useful and compliant. It defines the required format (Markdown, JSON, XML), the needed metadata (source citation for facts, confidence score of the output), and the Human Intervention Point (e.g., “Draft 1 must be edited by the Chief Marketing Officer for final narrative tone and legal review”). This manages the handover and legal chain of custody for the final, approved asset.

Case Study 1: The E-commerce Retailer and the A/B Testing Engine

Challenge: Slow and Costly Product Description Generation

A large e-commerce retailer needed to rapidly create product descriptions for thousands of new items across various categories. The human copywriting team was slow, and their A/B testing revealed that the descriptions lacked variation, leading to plateaued conversion rates.

Co-Pilot Brief Intervention:

The team implemented a Co-Pilot Brief that enforced the Iterative Experimentation Mandate. The brief dictated: 1) Persona Profile, 2) Output Length, and crucially, 3) Mandate: “Generate 5 variants that maximize different psychological triggers: Authority, Scarcity, Social Proof, Reciprocity, and Liking.” The AI delivered a rich portfolio of five distinct, strategically differentiated options for every product. The human team spent time selecting the best option and running the A/B test. This pivot increased the speed of description creation by 400% and—more importantly—increased the success rate of the A/B tests by 30%, proving the value of AI-directed variance.

Case Study 2: The Healthcare Network and Ethical Compliance Messaging

Challenge: Creating Sensitive, High-Compliance Patient Messaging

A national healthcare provider needed to draft complex, highly sensitive communication materials regarding new patient privacy laws (HIPAA) that were legally compliant yet compassionate and easy to understand. The complexity often led to dry, inaccessible language.

Co-Pilot Brief Intervention:

The team utilized a Co-Pilot Brief emphasizing Constraint Data and Unlearning Instructions. The brief included: 1) Full legal text and mandatory compliance keywords (Constraint Data), 2) Unlearning Instructions: “Avoid all medical jargon; do not use the passive voice; maintain a 6th-grade reading level; project a tone of empathetic assurance, not legal warning,” and 3) Success Metric: “Must achieve Flesch-Kincaid Reading Ease Score above 65.” The AI successfully generated drafts that satisfied the legal constraints while adhering to the reading ease metric. The human experts spent less time checking legal compliance and more time refining the final emotional tone, reducing the legal review cycle by 50% and significantly increasing patient comprehension scores.

Conclusion: From Prompt Engineer to Strategic Architect

The Human-AI Co-Pilot Creative Brief is the most important new artifact for innovation teams. It forces us to transition from thinking of the AI as a reactive tool to treating it as a strategic partner that must be precisely directed. It demands that humans define the ethical boundaries, strategic intent, and success criteria, freeing the AI to do what it does best: explore the design space at speed. This elevates the human role from creation to strategic architecture.

“The value of a generative tool is capped by the strategic depth of its brief. The better the instructions, the higher the cognitive floor for the output.”

The co-pilot era is here. Your first step: Take your last successful creative brief and re-write the Objectives section entirely as a set of measurable, hard constraints and non-negotiable unlearning instructions for an AI.

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: 1 of 950+ FREE quote slides available at http://misterinnovation.com

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Why are so many people quitting?

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Why are so many people quitting?

GUEST POST from Mike Shipulski

People don’t leave a company because they feel appreciated.

People don’t leave a company because they feel part of something bigger than themselves.

People don’t leave a company because they see a huge financial upside if they stay.

People don’t leave a company because they are treated with kindness and respect.

People don’t leave a company because they can make less money elsewhere.

People don’t leave a company because they see good career growth in their future.

People don’t leave a company because they know all the key players and know how to get things done.

People don’t leave the company so they can abandon their primary care physician.

People don’t leave a company because their career path is paved with gold.

People don’t leave a company because they are highly engaged in their work.

People don’t leave a company because they want to uproot their kids and start them in a new school.

People don’t leave a company because their boss treats them too well.

People don’t leave a company because their work is meaningful.

People don’t leave a company because their coworkers treat them with respect.

People don’t leave a company because they want to pay the commission on a real estate transaction.

People don’t leave a company because they’ve spent a decade building a Trust Network.

People don’t leave a company because they want their kids to learn to trust a new dentist.

People don’t leave a company because they have a flexible work arrangement.

People don’t leave a company because they feel safe on the job.

People don’t leave a company because they are trusted to use their judgment.

People don’t leave the company because they want the joy that comes from rolling over their 401k.

People don’t leave a company when they have the tools and resources to get the work done.

People don’t leave a company when their workload is in line with their capacity to get it done.

People don’t leave a company when they feel valued.

People don’t leave a company so they can learn a whole new medical benefits plan.

People don’t leave a job because they get to do the work the way they think it should be done.

So, I ask you, why are people leaving your company?

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The Innovation Talent Stack

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Skills for the Next Decade of Change

The Innovation Talent Stack

GUEST POST from Chateau G Pato

For decades, companies searched for the elusive “Chief Innovation Officer” — the singular genius tasked with pulling the organization into the future. That era is dead. Today’s pace of change is too rapid, and the challenges too complex, for innovation to reside in a single silo or department. The modern competitive advantage belongs to organizations that have successfully distributed innovation capabilities across their workforce, creating an Innovation Talent Stack.

The Talent Stack is not a list of job requirements; it is a layered framework of meta-skills — mindsets, methodologies, and technological fluencies — that collectively enable continuous change and disruption. When these three layers are strong and interconnected, the organization transforms from being merely adaptive to becoming inherently resilient and generative. We must shift our focus from finding the singular “T-shaped employee” to building an organization where T-shaped skills are the standard.

The Three Layers of the Innovation Talent Stack

To prepare your workforce for the next decade, training must move beyond basic technical skills and build these three integrated layers:

1. The Foundation: Mindset and Attitude

This is the cultural operating system. Without it, methodologies and tools become fragile or threatening. This layer focuses on the individual’s approach to complexity and failure.

Adaptability Quotient (AQ): The capacity to recognize and thrive in an environment of constant change. This means teaching employees to unlearn old rules and embrace ambiguity.
Cognitive Empathy: The ability to step into a user’s world and understand their pain points and motivations — not just emotionally, but analytically — to accurately frame the problem that needs solving.
Tolerance for Ambiguity: The mental fortitude to operate without a defined outcome, focusing on the quality of the process and the learning derived from failure, not just success.

2. The Mid-Layer: Methodology and Process

These are the structured tools that translate the innovative mindset into repeatable, de-risked action. They enforce human-centered principles and drive efficiency in exploration.

Human-Centered Design (HCD): Deep proficiency in observing, ideating, prototyping, and testing solutions with the user at the center. This is the antidote to internal bias and the primary tool for generating market value.
Lean Experimentation: The skill of designing minimal-cost tests (MVPs, prototypes) to prove or disprove core assumptions. This includes mastery of metrics that measure learning speed and validated assumptions, not just immediate revenue.
Systems Thinking: The ability to trace the downstream effects of any single change. Innovation leaders must see their product or service as one node in a vast, interconnected ecosystem, anticipating ripple effects on regulation, supply chain, and culture.

3. The Top Layer: Technological Fluency and Acceleration

This is not about coding; it’s about strategic literacy. It’s the ability to speak the language of the machine to accelerate speed and scale across the organization.

AI Co-Pilot Literacy (Prompt Crafting): The skill of giving generative AI tools high-quality strategic direction and constraints, transforming the interaction from a simple query into a genuine co-creation partnership that dramatically compresses time-to-insight.
Data Storytelling and Visualization: The ability to use complex data insights (from predictive analytics, for example) to craft compelling narratives that drive organizational consensus and action, making the unseen risks and opportunities visible.
Ecosystem Mapping: Utilizing digital tools to visualize market structures, competitor moves, and partner potential in real-time, allowing for rapid strategic pivots based on external shifts.

Case Study 1: The Legacy Manufacturer’s Mindset Shift

Challenge: Product Failure due to Internal Bias

A large industrial equipment manufacturer, steeped in a culture of engineering perfection, consistently failed to launch new products successfully. Their design process was entirely internal, based on what their engineers thought the customer needed, demonstrating a critical lack of Cognitive Empathy and a low Tolerance for Ambiguity (they demanded perfect V1 launches).

Talent Stack Intervention:

The firm invested heavily in the Mindset and Methodology layers. They mandated Human-Centered Design (HCD) training for all product and sales teams, forcing them into the field to observe customer workflows. They deliberately celebrated small, cheap product failures within the innovation lab as “Learned Lessons,” directly improving Tolerance for Ambiguity. This cultural shift led to their next generation of heavy machinery being co-designed with operators. The result was a 25% decrease in post-launch support costs and a 40% increase in market adoption for the new line, proving that a methodology-driven mindset change is the necessary prerequisite for market success.

The Cognitive Gap: Where Talent Stacks Collapse

The biggest threat to this model is the Cognitive Gap — the chasm that exists when a technologically fluent team delivers a brilliant solution, but the rest of the organization lacks the mindset (AQ) or the methodology (HCD) to adopt it. When a data scientist uses complex visualization (Top Layer) but the leadership team only measures short-term ROI (Foundation Layer deficiency), the innovation dies on the vine. The Talent Stack demands horizontal fluency to bridge this gap.

Bridging this gap requires the Chief HR Officer to think like the Chief Innovation Officer. They must design training pathways that are non-linear, forcing employees to develop skills across all three layers simultaneously. A successful innovator today must be an empathetic explorer (Mindset), a structured experimenter (Methodology), and a strategically-literate technologist (Fluency).

Case Study 2: The Financial Service Firm and Accelerated Fluency

Challenge: Stagnant Idea Flow and Risk Aversion

A major bank had a strong HCD practice but its experimentation cycle was painfully slow due to regulatory and technical complexity. They could generate great ideas, but struggled with execution and de-risking, creating a backlog of ideas that never reached the market.

Talent Stack Intervention:

The bank focused on strengthening the Technological Fluency layer, particularly AI Co-Pilot Literacy and Data Storytelling. They established a “Regulatory Sandbox” where teams, using generative AI co-pilots, could draft, test, and vet new product disclosures and compliance documentation at 10x speed. This allowed them to simulate regulatory outcomes and quickly de-risk new financial products. By cutting the compliance review cycle from six weeks to three days using AI tools, they accelerated their Lean Experimentation cycle (Methodology) dramatically. This immediate acceleration of speed allowed the bank to launch a new consumer loyalty product eight months ahead of their main competitor, directly proving the return on investment from strategic technological fluency.

Conclusion: Building the Portfolio of Capabilities

The Innovation Talent Stack represents the new strategic map for organizational development. It is a Portfolio of Capabilities that guarantees relevance in the face of continuous disruption. Your company is only as innovative as its least adaptive layer. If your people have the tools but lack the empathy, they will build solutions no one wants. If they have the mindset but lack the methodology, they will remain stuck in perpetual brainstorming.

The time for focusing on single-skill specialists is over. We must cultivate T-shaped innovators — deep in a core function, but broadly fluent across the entire Talent Stack.

“Innovation is not an event, but a culture. And culture is simply the cumulative effect of the skills and mindsets you choose to reward.” — Braden Kelley

Your first step toward building the stack: Identify the top five functional leaders in your organization and assess which of the nine skills listed above they are weakest in. Then, design cross-functional immersion training to plug those specific gaps.

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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