by Robyn Bolton | Apr 15, 2026 | Customer Centricity, Innovation, Leadership
In October, at InnoLead’s annual conference in Boston MA, everything was AI. When the facilitator of a LEGO Serious Play workshop announced we would not talk about AI, the room erupted in applause.
In April, at Inside Outside Innovation’s biannual conference in Lincoln NE, everything was human. By day’s end, speakers and attendees alike were celebrating the sweet relief of a human-led, AI-supported future.
Why the difference? AI hasn’t fallen out of the news cycle, nor have AI-driven layoffs ceased.
Perspective.
InnoLead’s conference featured practitioners living the day-to-day reality of change and innovation. IO 2026 spotlighted thought leaders like Eric Ries, David Bland, and Erin Stadler, advisors able to see across organizations and invited into the C-Suite’s inner sanctum.
One conference talks about what is. One about what will be.
So, if you want to know what your C-Suite will task you with in six months, look to Nebraska.
To move forward, we must face hard truths
Eric Ries, the creator of Lean Startup and author of the forthcoming Incorruptible, exposed the myth that free markets reward value creation. They reward value extraction. Companies focused on extraction forget their purpose, serve themselves over their customers, and ultimately fail.
Elliott Parker, CEO of Alloy Partners and author of The Illusion of Innovation, declared corporate innovation to be alchemy. Isaac Netwon spent his life pursuing alchemy (creating calculus was just a side quest) but failed because the basic building block of matter, the atom, is immutable. The same is true of big company executives pursuing innovation. The atomic elements of corporations (efficiency) and entrepreneurship (autonomy, passion, urgency, skin in the game, and freedom) are immutable and incompatible. Just as lead cannot become gold, companies can’t create like startups.
To do better, we must focus on people
Erin Stadler, founder of Design Culture and author of one of my all-time favorite articles on innovation, shared a forgotten truth: “When we lead with people, the human element, the science, the innovation comes with it.” To do this requires leaders and organizations to find and state their purpose, to build principles and values, and to act on them every day
Dan Hassenplug, VP of Design at sport tech company Hudl, boldly declared that customer obsession is the “real AI strategy.” After all, getting 10x faster at something doesn’t matter if it’s on something that doesn’t matter. And what matters are your customers. Living with them, talking to them, listening to them. You’ll get radical and game changing insights that no competitor, survey, or synthetic persona can.
David Bland, founder of Precoil and author of Testing Business Ideas, implored the audience to flip the 80/20 ratio of feasibility experiments to desirability experiments. Why? “We can make anything these days. It doesn’t matter if you can make it if no one wants it.”
To focus on people, we must serve them
Ted Ullrich, co-founder of Tomorrow Lab, reminded us that “simplicity is earned,” not a starting point. We start by trying to do all the thingsfor customers, but that’s overwhelmng and unnecessary. Only by listening to humans and staying humble can we create the simple solutions that create value.
Julie Ann Crommet, founder of Collective Moxie and former VP at Disney, dazzled us with the simple fact that “the more specific the story, the more universal.” She backed this up with data that films with Authentically Inclusive Representation perform nearly 3x better at the box office and the story behind how Coco became Pixar’s highest grossing movie in China, despite content that is typically banned.
The future is wonderfully human
AI isn’t going away and it will change almost all aspects of life and work. But if the thought leaders, advisors, and designers in Nebraska are right (and I think they are), the future will be far more human than machine.
by Robyn Bolton | Dec 10, 2025 | Customer Centricity, Innovation, Leading Through Uncertainty
In times of great uncertainty, we seek safety. But what does “safety” look like?
What we say: Safety = Data
We tend to believe that we are rational beings and, as a result, we rely on data to make decisions.
Great! We’ve got lots of data from lots of uncertain periods. HBR examined 4,700 public companies during three global recessions (1980, 1990, and 2000). They found that the companies that the companies that emerged “outperforming rivals in their industry by at least 10% in terms of sales and profits growth” had one thing in common: They aggressively made cuts to improve operational efficiency and ruthlessly invested in marketing, R&D, and building new assets to better serve customers have the highest probability of emerging as markets leaders post-recession.
This research was backed up in 2020 in a McKinsey study that found that “Organizations that maintained their innovation focus through the 2009 financial crisis, for example, emerged stronger, outperforming the market average by more than 30 percent and continuing to deliver accelerated growth over the subsequent three to five years.”
What we do: Safety = Hoarding
The reality is that we are human beings and, as a result, make decisions based on how we feel and the use data to justify those decisions.
How else do you explain that despite the data, only 9% of companies took the balanced approach recommended in the HBR study and, ten years later, only 25% of the companies studied by McKinsey stated that “capturing new growth” was a top priority coming out of the COVID-19 pandemic.
Uncertainty is scary so, as individuals and as organizations, we scramble to secure scarce resources, cut anything that feels extraneous, and shift or focus to survival.
What now? And, not Or.
What was true in 2010 is still true today and new research from Bain offers practical advice for how leaders can follow both their hearts and their heads.
Implement systems to protect you from yourself. Bain studied Fast Company’s 50 Most Innovative Companies and found that 79% use two different operating models for innovation to combat executives’ natural risk aversion. The first, for sustaining innovation uses traditional stage-gate models, seeks input from experts and existing customers, and is evaluated on ROI-driven metrics.
The second, for breakthrough innovations, is designed to embrace and manage uncertainty by learning from new customers and emerging trends, working with speed and agility, engaging non-traditional collaborators, and evaluating projects based on their long-term potential and strategic option value.
Don’t outspend. Out-allocate. Supporting the two-system approach, nearly half of the companies studied send less on R&D than their peers overall and spend it differently: 39% of their R&D budgets to sustaining innovations and 61% to expanding into new categories or business models.
Use AI to accelerate, not create. Companies integrating AI into innovation processes have seen design-to-launch timelines shrink by 20% or more. The key word there is “integrate,” not outsource. They use AI for data and trend analysis, rapid prototyping, and automating repetitive tasks. But they still rely on humans for original thinking, intuition-based decisions, and genuine customer empathy.
Prioritize humans above all else. Even though all the information in the world is at our fingerprints, humans remain unknowable, unpredictable, and wonderfully weird. That’s why successful companies use AI to enhance, not replace, direct engagement with customers. They use synthetic personas as a rehearsal space for brainstorming, designing research, and concept testing. But they also know there is no replacement (yet) for human-to-human interaction, especially when creating new offerings and business models.
In times of great uncertainty, we seek safety. But safety doesn’t guarantee certainty. Nothing does. So, the safest thing we can do is learn from the past, prepare (not plan) for the future, make the best decisions possible based on what we know and feel today, and stay open to changing them tomorrow.
by Robyn Bolton | Oct 6, 2025 | 5 Questions, Customer Centricity, Innovation, Tips, Tricks, & Tools
For decades, we’ve faithfully followed innovation’s best practices. The brainstorming workshops, the customer interviews, and the validated frameworks that make innovation feel systematic and professional. Design thinking sessions, check. Lean startup methodology, check. It’s deeply satisfying, like solving a puzzle where all the pieces fit perfectly.
Problem is, we’re solving the wrong puzzle.
As Ellen Di Resta points out in this conversation, all the frameworks we worship, from brainstorming through business model mapping, are business-building tools, not idea creation tools.
Read on to learn why our failure to act on the fundamental distinction between value creation and value capture causes too many disciplined, process-following teams to create beautiful prototypes for products nobody wants.
Robyn: What’s the one piece of conventional wisdom about innovation that organizations need to unlearn?
Ellen: That the innovation best practices everyone’s obsessed with work for the early stages of innovation.
The early part of the innovation process is all about creating value for the customer. What are their needs? Why are their Jobs to be Done unsatisfied? But very quickly we shift to coming up with an idea, prototyping it, and creating a business plan. We shift to creating value for the business, before we assess whether or not we’ve successfully created value for the customer.
Think about all those innovation best practices. We’ve got business model canvas. That’s about how you create value for the business. Right? We’ve got the incubators, accelerators, lean, lean startup. It’s about creating the startup, which is a business, right? These tools are about creating value for the business, not the customer.
R: You know that Jobs to be Done is a hill I will die on, so I am firmly in the camp that if it doesn’t create value for the customer, it can’t create value for the business. So why do people rush through the process of creating ideas that create customer value?
E: We don’t really teach people how to develop ideas because our culture only values what’s tangible. But an idea is not a tangible thing so it’s hard for people to get their minds around it. What does it mean to work on it? What does it mean to develop it? We need to learn what motivates people’s decision-making.
Prototypes and solutions are much easier to sell to people because you have something tangible that you can show to them, explain, and answer questions about. Then they either say yes or no, and you immediately know if you succeeded or failed.
R: Sounds like it all comes down to how quickly and accurately can I measure outcomes?
E: Exactly. But here’s the rub, they don’t even know they’re rushing because traditional innovation tools give them a sense of progress, even if the progress is wrong.
We’ve all been to a brainstorm session, right? Somebody calls the brainstorm session. Everybody goes. They say any idea is good. Nothing is bad. Come up with wild, crazy ideas. They plaster the walls with 300 ideas, and then everybody leaves, and they feel good and happy and creative, and the poor person who called the brainstorm is stuck.
Now what do they do? They look at these 300 ideas, and they sort them based on things they can measure like how long it’ll take to do or how much money it’ll cost to do it. What happens? They end up choosing the things that we already know how to do! So why have the brainstorm?”
R: This creates a real tension: leadership wants progress they can track, but the early work is inherently unmeasurable. How do you navigate that organizational reality?
E: Those tangible metrics are all about reliability. They make sure you’re doing things right. That you’re doing it the same way every time? And that’s appropriate when you know what you’re doing, know you’re creating value for the customer, and now you’re working to create value for the business. Usually at scale
But the other side of it? That’s where you’re creating new value and you are trying to figure things out. You need validity metrics. Are we doing the right things? How will we know that we’re doing the right things.
R: What’s the most important insight leaders need to understand about early-stage innovation?
E: The one thing that the leader must do is run cover. Their job is to protect the team who’s doing the actual idea development work because that work is fuzzy and doesn’t look like it’s getting anywhere until Ta-Da, it’s done!
They need to strategically communicate and make sure that the leadership hears what they need to hear, so that they know everything is in control, right? And so they’re running cover is the best way to describe it. And if you don’t have that person, it’s really hard to do the idea development work.”
But to do all of that, the leader also must really care about that problem and about understanding the customer.
We must create value for the customer before we can create value for the business. Ellen’s insight that most innovation best practices focus on the latter is devastating. It’s also essential for all the leaders and teams who need results from their innovation investments.
Before your next innovation project touches a single framework, ask yourself Ellen’s fundamental question: “Are we at a stage where we’re creating value for the customer, or the business?” If you can’t answer that clearly, put down the canvas and start having deeper conversations with the people whose problems you think you’re solving.
To learn more about Ellen’s work, check out Pearl Partners.
To dive deeper into Ellen’s though leadership, visit her Substack – Idea Builders Guild.
To break the cycle of using the wrong idea tools, sign-up for her free one-hour workshop.
by Robyn Bolton | Aug 4, 2025 | Leadership, Leading Through Uncertainty, Stories & Examples, Strategy
The best business advice can destroy your business. Especially when you follow it perfectly.
Just ask Johnny Cash.
After bursting onto the scene in the mid-1950s with “Folsom Prison Blues”, Cash enjoyed twenty years of tremendous success. By the 1970s, his authentic, minimalist approach had fallen out of favor.
Eager to sell records, he pivoted to songs backed by lush string arrangements, then to “country pop” to attract mainstream audiences and feed the relentless appetite of 900 radio stations programming country pop full-time.
By late 1992, Johnny Cash’s career was roadkill. Country radio had stopped playing his records, and Columbia Records, his home for 25 years, had shown him the door. At 60, he was marooned in faded casinos, playing to crowds preferring slot machines to songs.
Then he took the stage at Madison Square Garden for Bob Dylan’s 30th anniversary concert.
In the audience sat Rick Rubin, co-founder of Def Jam Recordings and uber producer behind Public Enemy, Run-DMC, and Slayer, amongst others. He watched in awe as Cash performed, seeing not a relic but raw power diluted by smart decisions.
The Stare-Down that Saved a Career
Four months later, Rubin attended Cash’s concert at The Rhythm Café in Santa Anna, California. According to Cash’s son, “When they sat down at the table, they said: ‘Hello.’ But then my dad and Rick just sat there and stared at each other for about two minutes without saying anything, as if they were sizing each other up.”
Eventually, Cash broke the silence, “What’re you gonna do with me that nobody else has done to sell records for me?”
What happened next resurrected his career.
Rubin didn’t promise record sales. He promised something more valuable: creative control and a return to Cash’s roots.
Ten years later, Cash had a Grammy, his first gold record in thirty years, and CMA Single of the Year for his cover of Nine Inch Nails’ “Hurt,” and millions in record sales.
When Smart Decisions Become Fatal
Executives do exactly what Cash did. You respond to market signals. You pivot your offering when customer preferences shift and invest in emerging technologies.
All logical. All defensible to your board. All potentially fatal.
Because you risk losing what made you unique and valuable. Just as Cash lost his minimalist authenticity and became a casualty of his effort to stay relevant, your business risks losing sight of its purpose and unique value proposition.
Three Beliefs at the Core of a Comeback
So how do you avoid Cash’s initial mistake while replicating his comeback? The difference lies in three beliefs that determine whether you’ll have the creative courage to double down on what makes you valuable instead of diluting it.
- Creative confidence: The belief we can think and act creatively in this moment.
- Perceived value of creativity: Our perceived value of thinking and acting in new ways.
- Creative risk-taking: The willingness to take the risks necessary for active change.
Cash wanted to sell records, and he:
- Believed that he was capable of creativity and change.
- Saw the financial and reputational value of change
- Was willing to partner with a producer who refused to guarantee record sales but promised creative control and a return to his roots.
Your Answers Determine Your Outcome
Like Cash, what you, your team, and your organization believe determines how you respond to change:
- Do I/we believe we can creatively solve this specific challenge we’re facing right now?
- Is finding a genuinely new approach to this situation worth the effort versus sticking with proven methods?
- Am I/we willing to accept the risks of pursuing a creative solution to our current challenge?”
Where there are “no’s,” there is resistance, even refusal, to change. Acknowledge it. Address it. Do the hard work of turning the No into a Yes because it’s the only way change will happen.
The Comeback Question
Cash proved that authentic change—not frantic pivoting—resurrects careers and disrupts industries. His partnership with Rubin succeeded because he answered “yes” to all three creative beliefs when it mattered most. Where are your “no’s” blocking your comeback?
by Robyn Bolton | Jun 25, 2025 | Leadership, Stories & Examples, Strategy
Convinced that Strategic Foresight shows you a path through uncertainty? Great! Just don’t rush off, hire futurists, run some workshops, and start churning out glossy reports.
Activity is not achievement.
Learning from those who have achieved, however, is an excellent first activity. Following are the stories of two very different companies from different industries and eras that pursued Strategic Foresight differently yet succeeded because they tied foresight to the P&L.
Shell: From Laggard to Leader, One Decision at a Time
It’s hard to imagine Shell wasn’t always dominant, but back in the 1960s, it struggled to compete. Tired of being blindsided by competitors and external events, they sought an edge.
It took multiple attempts and more than 10 years to find it.
In 1959, Shell set up their Group Planning department, but its reliance on simple extrapolations of past trends to predict the future only perpetuated the status quo.
In 1965, Shell introduced the Unified Planning Machinery, a computerized forecasting tool to predict cash flow based on current results and forecasted changes in oil consumption. But this approach was abandoned because executives feared “that it would suppress discussion rather than encourage debate on differing perspectives.”
Then, in 1967, in a small 18th-floor office in London, a new approach to ongoing planning began. Unlike past attempts, the goal was not to predict the future. It was to “modify the mental model of decision-makers faced with an uncertain future.”
Within a few years, their success was obvious. Shell executives stopped treating scenarios as interesting intellectual exercises and started using them to stress-test actual capital allocation decisions.
This doesn’t mean they wholeheartedly embraced or even believed the scenarios. In fact, when scenarios suggested that oil prices could spike dramatically, most executives thought it was far-fetched. Yet Shell leadership used those scenarios to restructure their entire portfolio around different types of oil and to develop new capabilities.
The result? When the 1973 oil crisis hit and oil prices quadrupled from $2.90 to $11.65 per barrel, Shell was the only major oil company ready. While competitors scrambled and lost billions, Shell turned the crisis into “big profits.”
Disney: From Missed Growth Goals to Unprecedented Growth
In 2012, Walt Disney International’s (WDI) aggressive growth targets collided with a challenging global labor market, and traditional HR approaches weren’t cutting it.
Andy Bird, Chairman of Walt Disney International, emphasized the criticality of the situation when he said, “The actions we make today are going to make an impact 10 to 20 years down the road.”
So, faced with an unprecedented challenge, the team pursued an unprecedented solution: they built a Strategic Foresight capability.
WDI trained over 500 leaders across 45 countries, representing five percent of its workforce, in Strategic Foresight. More importantly, Disney integrated strategic foresight directly into their strategic planning and performance management processes, ensuring insights drove business decisions rather than gathering dust in reports.
For example, foresight teams identified that traditional media consumption was fracturing (remember, this was 2012) and that consumers wanted more control over when and how they consumed content. This insight directly shaped Disney+’s development.
The results speak volumes. While traditional media companies struggled with streaming disruption, Disney+ reached 100 million subscribers in just 16 months.
Two Paths. One Result.
Shell and Disney integrated Strategic Foresight differently – the former as a tool to make high-stakes individual decisions, the latter as an organizational capability to affect daily decisions and culture.
What they have in common is that they made tomorrow’s possibilities accountable to today’s decisions. They did this not by treating strategic foresight as prediction, but as preparation for competitive advantage.
Ready to turn these insights into action? Next week, we’ll dive into the tools in the Strategic Foresight toolbox and how you and your team can use them to develop strategic foresight that drives informed decisions.
