Tag Archives: behavior

Why Are What We Know and What We Do Often So Different?

Why Are What We Know and What We Do Often So Different?

GUEST POST from Greg Satell

In 1988, a young management student named John Krafcik published an article in MIT’s Sloan Management Review entitled, Triumph of the Lean Production System. Based on his study of 90 manufacturing plants in 20 countries, it argued that manufacturing could be made vastly more productive, while improving quality at the same time.

These methods would grow into the lean manufacturing movement and their effectiveness has been well documented. Krafcik himself went on to have a successful career in the auto industry, taking over Google’s self-driving division, Waymo, in 2016. There is an amazingly strong case for manufacturers to adopt lean methods.

Yet surprisingly few do. In fact, a recent survey found that less than 15% of manufacturers have adopted lean methods. This dilemma is much more common than you’d think. We’ve been conditioned to believe that a good idea, once proven out, will prevail in the marketplace, but that’s not really true. There is often a large gap between what we know and what we do.

A New World Of Work

Clearly the world of work has changed. When I began professional life in the mid-90s, laptops were still new and few people had access to the Internet. Work was something you did in your office. We largely communicated by phone and memos typed up by secretaries. Data analysis was something you did with a pencil, paper and a desk calculator.

Today, on the other hand, work is largely something we do with each other. We are increasingly collaborating in teams and our work has become more social and less cognitive. For example, the journal Nature noted that the average scientific paper today has four times as many authors as one did in 1950 and the work they are doing is far more interdisciplinary.

The truth is that we spend most of our time in meetings, collaborating with colleagues to solve problems, rather than working alone in our offices to execute tasks. Perhaps not surprisingly, there has been no shortage of concepts developed, such as psychological safety, agile development and diversity & inclusion policies, designed to help us succeed and prosper in this new world of work.

Yet much like with lean manufacturing, the reality of most workplaces rarely reflects the pundits’ rhetoric. The reason for this is simple. The status quo has inertia on its side and that is an incredibly powerful force. Change takes effort and is often disruptive. The costs are clear and present while the benefits can seem distant and remote.

The New, New Economy

In 1982, when Steve Jobs was trying to lure John Sculley from Pepsi to Apple, he asked him, “Do you want to sell sugar water for the rest of your life, or do you want to come with me and change the world?” The ploy worked and Sculley became the first CEO of a major conventional company to join a Silicon Valley startup.

Yet since then, besides for a relatively short period between 1996 and 2004, labor productivity has remained depressed, except during recessions when businesses cut workers. At the same time, income inequality has increased and business has become less dynamic, with fewer startups and less churn among market leaders. I don’t think those are the changes Jobs was talking about.

It seems amazing that given all of the technological progress, including mobile and cloud computing, artificial intelligence and Industry 4.0 manufacturing technologies, that so little has been accomplished, but in their recent book, Power and Progress, economists Daron Acemoglu and Simon Johnson argue that market and technological forces, if left to their own devices, tend to favor elites rather than society as a whole.

We can’t simply leave our fates to the impersonal whims of market and technological forces. The historical record shows that innovations that displace workers do not necessarily make us better off. In fact, we have strong reasons to suspect that many of these technologies impoverish our society and corrode our culture.

Technology and markets were created by humans to serve people. That is their purpose and should be, by any reasonable analysis, the measure of their value. We need to take a hard look at the last 30 years and ask how we’re better off, how we’re worse off, what we need to do differently and how we can forge a better path.

The End Of History?

In 1989, just before the fall of the Berlin Wall, Francis Fukuyama published an essay in the journal The National Interest titled The End of History, which led to a bestselling book. Many took his argument to mean that, with the defeat of communism, US-style liberal democracy had emerged as the only viable way of organizing a society.

He was misunderstood. His actual argument was far more nuanced and insightful. After explaining the arguments of philosophers like Hegel and Kojeve, Fukuyama pointed out that even if we had reached an endpoint in the debate about ideologies, there would still be conflict because of people’s need to express their identity.

Humans tend to build stories that support our notions of who we think we are. If you work hard at your job, new ideas about lean manufacturing or agile development can seem like an affront. In much the same way, entrepreneurs like to think that their businesses have social value and the denizens of the tech universe like to think that their code changes the world.

If you believe that the forces of history are on your side, pursuing your path seems like a calling and an obligation. The benefits you receive are just more proof that you are headed in the right direction and whatever costs that are incurred by others may seem like mere table stakes to be paid for the price of progress.

That’s why tech billionaires write silly manifestos and politicians are able to fleece them for outrageous amounts of money. It is not enough to earn a good living and live in comfort. People have a need to be recognized and they will cling to the the identity they have built for themselves. Asking them to change can often seem more than a simple shift in behavior, but an affront to who they are.

Dismantling the Cult of Inevitability

We’d like to think that if something is a good idea, can be proven to work, improve performance and make people’s lives better, that market and technological forces will somehow make it inevitable. Unfortunately, the history of the last half century makes it clear that’s not true. Most people in developed countries are worse off than a generation ago.

Yes it’s true that our TV’s have gotten better and we have infinitely more channels. We carry supercomputers around in our pockets that give us unprecedented access to information and emerging services like ChatGPT give us almost superhuman powers to process it. Yet the cost of basics, such as housing, healthcare and education have impoverished us.

This wasn’t inevitable. Consider that in the US per capita GDP has nearly doubled since 1985 but median household income has risen only 27% and you begin to see the problem. In my work with organizational transformation it is clear that similar forces are at work in the corporate world. For all the talk about disruption and change, the status quo usually prevails.

We need to be more cognizant of the stories we tell ourselves. We have a primal need to be the heroes in our own narratives, to tell ourselves that we are on the right path while others are just fooling themselves, to look for information that confirms our choices and neglect evidence to the contrary. It is not a character flaw, but a reality of human nature.

Ironically, it is through awareness of our failings that can help us overcome them. Decades of research show that shifts in knowledge and attitudes don’t necessarily result in changes in behavior. Once we know that we can be more vigilant and hold ourselves to a higher standard. What we know and what we do are two different things, but with effort we can narrow the gap.

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

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Beating the Bougainvillea Blues

Why cutting back can sometimes be the best innovation option

Beating the Bougainvillea Blues

GUEST POST from John Bessant

Every year about this time we move southwards. Like very late swallows. Desperately seeking some of the yellow stuff to help recharge our solar cells and thaw out frozen fingers. Our preferred destination is Cyprus, Aphrodite’s island, a jewel set in the Mediterranean whose long history of invasion by others suggests significant local attractions. In particular it has a track record of sunshine hours which is hard to match, an average of 300 days per year.

(Of course that begs the question of what climatic shape the other 65 days take and it would be greedy to expect the absence of a few drops of rain or the odd cloud or two….)

Unfortunately the changeable element in the weather pattern has a predilection for December/January and so this year we have enjoyed a meteorological smorgasbord in which the weather has been experimenting with all the things it otherwise never gets a chance to play with. Including hail, thunder, snow (visible in the distance dusting the mountaintops), winds, even waterspouts out at sea.

Plus rain. Quite a lot of it. In fact enough to challenge even my generous view that it’s OK to wash out another day of my sunshine stay because the dams need filling up ready for the dry spring and summer.

Despite this I’m mostly doing fine with my optimism, enjoying the peace and beauty of the island (when we can go outdoors) and compensating for the lack of sunshine by drinking its distilled variety in the form of local wines to accompany local foods, liberally sprinkled with excellent olive oil, again courtesy of the missing sunshine…

However this morning sees me a little end-of-year blue because I’m pressing my nose up against the rainy window pane to see the bougainvillea. Or rather not seeing it. Let me explain.

When we bought the house one of the things I loved was the bougainvillea. Three trees worth of it, massive gnarled old trunks which spiraled up and over a wooden pergola guiding the branches and leaves to create a spectacular roof of purple and red. Look down on it from the bedroom window and there is your magic carpet waiting for you to climb aboard and fly away, watching the world below through its soft feathery leaves. Look up at it and you have a wonderful cave of shade, shielding you from the fierce summer sun, with its thick green foliage and gentle impossible blossoms. Whichever angle you viewed it from the effect was the same — crystalized summer …

Except that last year the pergola frame on which this whole amazing confection was resting gave up the ghost. Pressed down and strangled by its burden of branches it finally began to lean dangerously to the point where we had to bite the horticultural bullet and rethink.

Our superhero builder Dave sucked his teeth, cocked his head a couple of times then confirmed that we needed to replace the frame with a stronger new pergola suitably secured to the ground. But in order to effect this reconstruction we’d need to cut back the bougainvillea. Big time.

Cue Ollie whose green fingers and experienced brain have learned to work with the island’s fecund sun-rich approach to growth. He reliably reassured us that the project would work and that, while the short-term operation might look a little savage, it would all come out right in the end. He reminded us that this was precisely why the local wines taste so good — because the vineyard owners understand the importance of pruning.

I’d noticed this; the winter round of hacking back the thick bushes which had been so rich in foliage and fruit to the point where there are just a few stumps sticking up like dead men’s fingers clawing at the sky. And yet by the spring time the whole glorious cycle starts to repeat itself. His parting words were along the lines of ‘trust me… Nature’s got this!’

We bit the bullet. So what greeted us this year on arrival was a somewhat stark reduction in the foliage. In fact no foliage at all, just a couple of very lonely-looking stumps…..

Not so easy on the eye but I’ll try to have faith. And at least it offers an interesting metaphor for how we might think about innovation management at the start of a New Year.

It’s a safe bet to assume that there are plenty of resolutions buzzing round the brains of those with a stake in helping create value from our ideas. Lots of good intentions about doing things differently in 2025, expansive plans to try out new approaches, deploy new tools, do new stuff.

And there’s no shortage of new things to try. There’s a whole industry out there dedicated to challenging us to revise our innovation approaches — research papers, conference speeches, benchmark case studies, even, dare I say it, the odd blog or two like this one. The invitation to re-frame, to reinvent ourselves comes at us from multiple angles — and there’s a bewildering but enticing display of new tools and techniques which threaten to turn us into children running through the innovation sweet-shop on a serious sugar high.

And now we have AI. You don’t need to be Cassandra to be capable of making a pretty safe bet — 2025 will be the year of AI moving mainstream. Already a majority of organizations report experimenting with the enormous opportunity; it won’t take long before that converts to proven improvements in practice. Changing the ways in which we work with innovation, the products and services we offer and the different targets we try to reach.

The danger in all of this is that we keep adding to our repertoire, adding more and more growth to our innovation operations. We risk them becoming a close cousin to my bougainvillea thicket, overgrown to the point of collapse.

Innovation is all about creating and developing ‘routines’ — patterns of behavior which enable us to repeat the innovation trick. We learn over time effective ways to make it happen — how we search effectively, how we choose amongst different opportunities, how we implement in agile fashion, streamlining the process of converting ideas to value. Over time we build on those which work for us, embedding them in ‘the way we do things round here’, shaping them into the kind of innovation system which the International Standards Organization now recommends. Not just slogans about the importance of innovation but the structures, processes and policies to enable those behaviors.

Managed well this is a prescription for healthy growth. But it’s not a matter of abstract systems or process flow charts; it’s much closer to the challenge of planting and tending an orchard. A rich harvest of innovation fruit comes from strong branches on trees which have matured thanks to careful cultivation. Maintaining what’s already established and allowing for new shoots, sprouting in new directions, opening up more possibilities for future growth.

This doesn’t happen by accident. We need to think about ‘innovation horticulture’ — how best to manage the orchard.

Orange Grove

That’s a lesson which has been learned quietly by many organizations, who’ve been playing the innovation long game. Members of the ‘Hundred Club’, those who’ve survived and thrived over a century or more. Organizations which have ridden out some stormy weather by a commitment to innovation and to creating the kind of innovation system of which the ISO would be proud.

What they have in common is the ability to maintain what works, not just following fashion but carefully reviewing how they manage innovation on a regular basis. They’ve become skilled at enabling new growth through adding new routines, analogous to planting new saplings or grafting new strains on to old branches. Above all they’ve mastered the art of pruning to create space for this to happen.

This is the key part of the dynamic capability which innovation represents. The ability to step back and review, asking three simple questions. Of the innovation routines, the way we manage the process:

· What do we need to do more of, reinforce and strengthen?

· What do we need to do less of, even stop?

· And what new routines do we need to develop to cope with new challenges?

It’s as much about letting go as it is about adding new approaches. And it is crucially about strategically identifying where we need the new growth to come from. Just like a skilled gardener cuts back deep but also makes sure she has identified the spurs, the tiny buds which will provide the sites from which new things become possible.

This extended gardening metaphor might sound a little fanciful but we’ve got plenty of examples to illustrate it. Think about 3M, one of the longest established innovation gardens, still able to grow vigorously in new directions after well over a hundred years. During the early part of this century the company invested heavily in developing routines around six sigma and process improvement, securing significant gains in terms of productivity. But it soon became clear that the relentless focus on doing what they already did but better was driving out their capacity for breakthrough innovation. So the program was pruned to allow more exploration space. Importantly it wasn’t abandoned but rather trimmed back to enable new growth to come through.

Or Procter and Gamble, making the bold decision to cut back on the long (150 years) tradition of routines built around research and development and making the radical shift to a more open approach. ‘Connect and develop’ is now at the heart of how they innovate, drawing in a steady flow of ideas from outside the company alongside their internal capabilities. It has taken a quarter of a century for these new routines to mature but they now yield significant gains across the innovation spectrum.

Or the German company Hella, experiencing a key challenge around its rapid growth from being a successful 19th century start-up to a large established player. Its early experience helped create routines around new opportunities, triggered by new technologies and by discovering new market niches. There was plenty of innovation activity, a veritable hive of creativity with bees buzzing in and out working on a growing number of projects. But proliferating projects meant increasing costs and growing confusion around priorities which could only be solved by adding more minds to the mix. In the end the innovation engine began spinning out of control, overheating with all the innovation efforts.

It came to a head with a review which suggested that of the roughly 4000 products in the range at that time the vast majority took up time and effort but made little contribution. In particular it suggested that:

· 95 products were responsible for around 80% of turnover and 34% of R&D costs

· 305 were responsible for 15% turnover and 35% R&D

· 3100 were responsible for 5% of turnover and 31% of R&D !!!

The answer wasn’t to slam feet on the innovation brakes and stop. But it was about pruning, cutting back on most of the projects and focusing attention on those with strategic contributions to make. And having done this, to put in place new systems for project selection, portfolio management and regular staged reviews.

So whilst I’m still harboring doubts I’m hoping to see a bougainvillea renaissance beginning on my next visit. A sort of blooming version of ‘Field of Dreams’. As with baseball teams so with pergolas and bougainvillea bushes. Create the space — and the new growth will come.

Of course it’s not just about cutting back to make space in our innovation garden. The other side of this involves introducing new routines to enable new growth. But these by their nature will be young seedlings, not well-established trees. They need careful tending and experienced innovation gardeners understand the importance of supportive structures and growth regimes to help them take root. Using canes and trellises, introducing fertilizers and nutrients and above all keeping a careful eye on these early-stage experiments. They won’t all survive but those proto-routines of today could become critical capabilities in the future so it’s worth investing the time and effort now.

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Image credits: Dall-E

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The Human Element in Futurism

Understanding What Drives Tomorrow’s Behaviors

The Human Element in Futurism

GUEST POST from Chateau G Pato

We live in a world obsessed with technological predictions. We meticulously track Moore’s Law, debate the singularity of AI, and map the exponential curve of quantum computing. But I argue that this focus on hardware and code misses the single most volatile and vital factor in any prediction: the human being. As a human-centered change and innovation thought leader, my job is to look beyond the what of technology to the why of behavior. Futurism is not about predicting a new device; it’s about understanding a new human need. The key to successful future-casting — and successful innovation — lies in anchoring technological foresight to the immutable principles of human psychology and anticipating how technology will meet, or fail to meet, our deepest, most enduring needs for connection, control, identity, and security.

The history of failed predictions is littered with technologies that were brilliant on paper but died in the marketplace because they misunderstood or ignored human behavior. We often forget that technology is merely an accelerant; the engine of change is always a shift in human value. To effectively navigate and profit from the future, leaders must perform an exercise I call Behavioral Foresight. This means starting with the timeless human desire (e.g., the need for connection, status, or ease) and then envisioning the scenarios where a disruptive technology either amplifies that desire or simplifies the mechanism for achieving it. When technological capability meets a deep human truth, true transformation occurs.

The Three Drivers of Tomorrow’s Behavior

While the expression of human needs changes with every innovation cycle, the underlying drivers remain constant. Successful futurism anticipates the convergence of technology with these three enduring pillars:

  • 1. The Need for Control and Autonomy: As the world becomes more complex, people inherently seek more control over their personal data, time, and environment. Any technology that democratizes power, decentralizes decision-making, or gives the individual greater agency (from blockchain to personalized health trackers) is inherently aligned with a fundamental human driver.
  • 2. The Pursuit of Ease (Frictionless Living): We are wired to conserve energy. Innovations that eliminate friction, simplify complex processes, or reduce cognitive load will always win. This is why a one-click purchase button is more successful than a three-step form, and why seamless integration beats powerful but complex software. Tomorrow’s successful behaviors are the easiest ones.
  • 3. The Desire for Authentic Identity and Belonging: Technology may connect us globally, but it also creates anxiety around authenticity and status. The future of social platforms and digital identities will be driven by platforms that allow for niche, meaningful connections and give people powerful tools to express their unique, evolving selves, resisting the homogenizing forces of mass culture.

“Predicting technology is easy. Predicting human behavior is the only thing that matters.”


Case Study 1: The Smartphone Revolution – Prioritizing Connection Over Capability

The Failed Prediction:

In the early 2000s, many tech experts predicted that the future of mobile phones would be driven by technical capability — faster processors, superior cameras, and advanced features. The prevailing wisdom was that professional and power users would be the primary adopters of these complex devices.

The Human-Centered Reality:

The iPhone’s success was not initially built on its superior processing power (which lagged behind competitors at launch), but on its ability to satisfy the human need for frictionless connection and belonging. The seamless interface, the easy access to email and social platforms, and the intuitive camera made it a powerful social tool, not just a business device. The killer applications were not spreadsheets; they were instant messaging, photo sharing, and social networking. The success was driven by the average person’s need to feel constantly connected and to easily share their lived experience. It prioritized the human element (ease, connection) over the technical element (raw power).

The Key Behavioral Insight:

The market demonstrated that people will tolerate significant complexity behind the scenes (processor architecture, network latency) if the interface perfectly addresses their core human need for immediate, effortless social interaction. The future of mobile wasn’t about power; it was about proximity to people.


Case Study 2: The Failure of Google Glass – When Status Conflicts with Comfort

The Technological Promise:

Google Glass was a technological marvel: a discreet, wearable computer that promised to deliver information directly into the user’s field of vision, representing the ultimate fusion of digital information and physical reality. Technically, it was a leap forward, aimed at maximizing efficiency and access to data.

The Human-Centered Failure:

Despite the technical brilliance, Glass failed spectacularly in the consumer market, largely because it created severe friction in two fundamental human areas: social identity and control.

  • Identity/Belonging: Users felt self-conscious, and the public saw the wearers — dubbed “Glassholes” — as arrogant or intrusive. The device was perceived as a symbol of status and exclusion, making the wearer feel separate rather than integrated.
  • Control/Security: The always-on camera and recording capability deeply violated the social contract of trust and privacy, making non-wearers feel a profound lack of control over their own image and security in the wearer’s presence.

The technology ignored the human truth that people value their sense of comfort, privacy, and social acceptance far more than instant access to search results.

The Key Behavioral Insight:

The market demonstrated that any technology that infringes upon the psychological safety and social norms of the community will be rejected, regardless of its utility. The human need for social acceptance and privacy trumped the efficiency gains offered by the wearable tech.


Conclusion: The Future is Human-Shaped

The most enduring innovations are not those that change the most things, but those that understand the things that never change—the immutable drivers of human behavior. Technology simply provides new pathways to fulfill these old needs.

For any leader charting a course into the future, your greatest tool is not a crystal ball or a supercomputer; it is radical empathy. You must look at emerging technologies through the lens of human psychology. Ask: Does this technology simplify an ancient frustration? Does it amplify a core need for connection? Does it empower the individual or take away their control?

The convergence of technological capability and human truth is where true value is created. By centering your future-casting on the timeless human element, you move beyond mere trendspotting to true FutureHacking – proactively shaping a world that is not only technologically advanced but also genuinely human-centered and aligned with the aspirations of the people it serves.

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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The Art of Watching What People Do, Not What They Say

Observational Research

LAST UPDATED: December 16, 2025 at 3:10PM

The Art of Watching What People Do, Not What They Say

GUEST POST from Chateau G Pato

In the quest for true innovation, most organizations fall prey to one fatal flaw: they rely too heavily on explicit feedback. They ask customers, “What do you want?” or “What would you pay?” The result is incremental change, not disruption. The truth is that people are often terrible predictors of their future behavior and frequently rationalize their current habits. If Henry Ford had only asked customers what they wanted, they would have requested a faster, more comfortable horse. The key to discovering latent needs — the unmet desires people don’t even know they have—lies in the deliberate practice of Observational Research.

Observational research, or ethnography, is the bedrock of Human-Centered Innovation. It requires innovators to step out of the boardroom and into the context of the user’s real life, watching them interact with products, processes, and environments. This discipline is essential because it allows us to identify the workarounds, friction points, and gaps that people endure but never articulate. We must unlearn the reliance on surveys and focus groups and embrace the art of the silent witness.

The Three-Step Framework for Observational Insight

Effective observation is not passive looking; it is structured, intentional work built around three core questions:

1. Watch for the Workarounds

A workaround is the user’s innovation—a creative, often frustrating, solution they implement when a product or process fails them. These are not flaws in the user; they are flaws in the design. Watching a warehouse worker bypass a safety protocol to save 30 seconds, or seeing an employee email a critical file instead of using the complex mandated CRM system, reveals deep systemic pain. The workaround identifies a true point of friction and points directly to the highest-value innovation opportunity.

2. Identify the Unspoken “Jobs to Be Done”

The “Jobs to Be Done” framework, popularized by Clayton Christensen, suggests people don’t buy products; they hire them to perform a specific job. Observation helps us understand the true job. A person buying a drill isn’t hiring it for the drill itself; they are hiring it to create a hole. But why do they need the hole? Maybe it’s to hang a family photo. The job is creating memories or status, not drilling. Observation helps us move beyond the functional job to the deeper emotional and social job.

3. Look for Environmental and Emotional Triggers

Context is everything. We must observe the environment — the lighting, the noise level, the interruptions — and the emotional state — frustration, confusion, momentary relief — of the user as they perform a task. If a user only uses a service when they are stressed and under a tight deadline, the innovation must prioritize speed and cognitive ease, regardless of their stated preferences in a calm interview setting. Observing the emotional cycle provides the empathy needed for human-centered design.

Case Study 1: The Kitchen Counter Conundrum

Challenge: Designing a Better Home Organization System

A major home goods retailer (“HomeLife”) consistently received high survey scores for their kitchen storage products, yet sales growth was stagnant. Focus groups praised the products’ features, but the underlying customer behavior was still chaotic. They wanted to understand why customers consistently failed to maintain a tidy kitchen.

Observational Intervention: Deep Contextual Inquiry

A small ethnographic team spent a week observing five families in their homes, focusing on the five minutes after they arrived home and the five minutes before leaving. They watched not just the kitchen, but the landing strip — the kitchen counter and adjacent areas.

  • Observation: They saw that every family member, without exception, dropped keys, mail, phones, and wallets directly onto the counter as the default transition point. The existing organization products were in cabinets, requiring effort and a conscious choice to use them.
  • Unspoken Need: The job to be done was not “storage” but “frictionless triage” — a system that managed immediate incoming clutter at the point of entry.

The Innovation Impact:

HomeLife stopped innovating inside the cabinets. They created a new line of “Landing Zone” organizers — attractive, open-faced trays and charging stations designed to live permanently on the counter, managing the immediate daily dump. This product line became their fastest-growing category, proving that solving the observed habit was more powerful than meeting the stated desire for more efficient hidden storage.

Case Study 2: Re-engineering the Healthcare Workflow

Challenge: High Administrative Error Rates in Patient Intake

A large hospital system (“HealthPath”) faced continuous, costly errors during patient intake. Nurses and administrators complained in interviews that the software was slow and complex, leading the IT department to recommend a costly software overhaul.

Observational Intervention: Silent Shadowing

A Human-Centered Innovation team chose to silently shadow nurses and intake staff for full shifts, documenting every mouse click, every sigh, and every manual note taken outside the system. They were looking for the workarounds.

  • Observation: The team discovered that the nurses rarely used the “slow and complex” patient history tabs during intake. Instead, they quickly printed the old, paper patient history forms, scribbled updates by hand during the interview, and only entered the minimum required data into the new software hours later.
  • The Friction: The real bottleneck wasn’t the software speed; it was the nurses’ need for quick, physical access to cross-reference data while simultaneously making eye contact with the patient. The software forced sequential digital entry, which contradicted the natural conversational flow.

The Innovation Impact:

HealthPath avoided the expensive software replacement. Instead, they implemented a cheap, innovative solution: the software was updated to include a “Quick View” contextual panel that displayed the most recent four critical patient history points on a separate, simplified screen. This allowed nurses to maintain flow and quickly verify key facts. The error rate dropped by 28% in three months, proving that human-centered observation leads to surgical, low-cost solutions, not just massive overhauls.

Conclusion: The Observational Mandate

The innovation mandate in the 21st century is clear: stop interviewing for validation and start observing for revelation. Observational research is your empathy engine. It forces you to move beyond the clean, rational world people describe in an interview and into the messy, emotional reality of their daily struggles. By systematically looking for workarounds, unspoken jobs, and environmental triggers, you shift your entire organization from merely responding to complaints to proactively solving the invisible problems of your users. This is the difference between incremental improvement and Human-Centered Disruption. The greatest insights are rarely spoken; they are shown.

“If you truly want to understand why people don’t use your solution, you must watch them live without it.” — Braden Kelley

Frequently Asked Questions About Observational Research

1. What is the key difference between observational research and an interview?

An interview captures what people say they do, often filtered by memory, social desirability, or self-rationalization. Observational research captures what people actually do in their natural context, revealing unconscious habits, workarounds, and friction points that are rarely articulated.

2. What is “latent need” and how does observation help find it?

A latent need is an unmet desire or problem that a user is not aware of or has simply learned to live with. Observation finds it by highlighting the user’s constant frustration or workaround, which they have normalized. The innovator sees the workaround and realizes the latent need is a superior, non-existent solution.

3. What is the biggest bias to avoid during observational research?

The biggest bias to avoid is the confirmation bias — seeing only what confirms your existing hypothesis about the problem. A good observer must practice suspending judgment and documenting everything, even behaviors that seem unrelated or counter-intuitive, to ensure the discovery of a truly novel insight.

Your first step into observational research: Take one hour next week to silently observe an employee or a customer interacting with your most critical process. Do not speak. Simply document every point where they pause, sigh, or deviate from the intended path. Use those observations, not their stated problems, to define your next innovation project.

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

Image credit: Pixabay

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