Design Thinking: Starting With the Human, Not the Solution

Most organisations approach problems by starting with what they know. They have existing technologies, existing capabilities, existing business models, and they look for ways to apply them. The result is innovation that tends to be internally driven: shaped more by what the organisation can do than by what the people it serves actually need.

Design thinking inverts this logic. It starts not with the organisation's capabilities or the available technology, but with a deep and careful understanding of the human beings the innovation is intended to serve. It is an approach that places empathy, not expertise, at the beginning of the innovation process.

What Design Thinking Is

Design thinking is a human-centred approach to creative problem-solving.

It draws on the methods and mindset of professional designers - observation, prototyping, iterative refinement - and applies them to problems that extend well beyond the traditional domain of design. It has been used to redesign hospital patient experiences, reimagine government services, develop new financial products, and create some of the most commercially successful consumer technologies of the past two decades.

The approach was developed and popularised primarily through the work of IDEO, a design consultancy founded in California in 1991, and later through the d.school - the Hasso Plattner Institute of Design at Stanford University.

Tim Brown, IDEO's long-serving CEO, articulated its essence in a 2008 Harvard Business Review article that brought the methodology to a mainstream business audience: design thinking, he argued, is a discipline that uses the designer's sensibility and methods to match people's needs with what is technologically feasible and economically viable.

That three-way intersection - desirability, feasibility, viability - is a useful framing. Many innovations fail not because they are technically impossible or commercially unworkable, but because they solve a problem that is not actually the problem people have.

Design thinking is, above all, a method for making sure you are solving the right problem before you invest heavily in solving it.

The Process

Design thinking is typically described as a five-stage process, though in practice these stages are iterative and overlapping rather than strictly sequential.

Empathise is the foundation. Before generating any ideas or developing any solutions, design thinkers immerse themselves in the experience of the people they are designing for. This means ethnographic observation - watching how people actually behave in real contexts, not just how they say they behave in interviews or surveys. It means deep listening, the kind that seeks to understand not just what people say they want but the underlying needs, frustrations, and desires that lie beneath their words. It means suspending assumptions and genuinely approaching the situation as a learner rather than an expert.

This stage is consistently underinvested and consistently the one that pays the highest returns. The insights that make design thinking powerful almost always come from this phase. The observation that reveals a behaviour nobody had noticed, the conversation that surfaces a need nobody had articulated, the context that reframes everything that comes after.

Define is the process of synthesising what has been learned in the empathy phase into a clear problem statement. This is more demanding than it sounds. After immersing yourself in a complex human situation, you have a rich but unstructured body of observation. The define stage requires you to identify patterns, prioritise insights, and articulate the core challenge in a way that is specific enough to direct creative effort but open enough not to presuppose the solution.

The output of this stage is often framed as a point-of-view statement or a "How might we?" question. A form of words that captures the human need you are trying to address in a way that opens up possibilities rather than closing them down. How might we help elderly patients navigate hospital discharge without feeling abandoned? How might we make small business invoicing feel less like an administrative burden and more like a natural part of running a business? The framing shapes everything that follows.

Ideate is the generative phase—the point at which the quantity of ideas is actively valued over quality. Design thinking deliberately separates the generative and evaluative modes of thinking, recognising that premature judgment is one of the most reliable killers of creative possibility. Brainstorming, sketching, provocative reframing, analogical thinking from other industries and contexts. The goal is to produce a wide and diverse set of possibilities before beginning to evaluate any of them.

Prototype is where ideas become tangible. A prototype in the design thinking sense is not a finished product or even a polished mock-up. It is the minimum physical or experiential representation of an idea that allows you to test whether it works in the real world. It might be a cardboard model, a role-played service interaction, a storyboard, or a rough digital sketch. A prototype makes an idea concrete enough that real people can respond to it, and those responses generate the information needed to improve it.

Test closes the loop. Testing prototypes with real users generates new understanding that feeds back into earlier stages. A test might reveal that the solution works but that the problem was framed incorrectly, sending the process back to the define stage. It might produce observations that deepen the empathy phase in ways that lead to entirely new directions. This iterative quality is not a sign of inefficiency; it is the mechanism by which design thinking progressively converges on solutions that genuinely work.

Why It Works

The power of design thinking as an innovation methodology lies in several features that distinguish it from more conventional approaches.

It builds solutions around observed human behaviour rather than assumed preferences. People are notoriously unreliable reporters of their own future behaviour, but they cannot help revealing their actual behaviour in natural contexts. Grounding innovation in observation rather than extrapolation from stated preferences produces outputs that are more likely to be genuinely wanted and used.

It creates early physical representations of ideas, making them testable before significant resources have been committed. This is the design thinking expression of the lean principle explored in the previous post: reduce the cost of being wrong by being wrong earlier. A prototype that fails in testing costs a fraction of what a launched product that fails in the market costs.

It deliberately introduces diverse perspectives into the problem-solving process. Design thinking teams typically bring together people from different disciplines - engineers, social scientists, business strategists, domain experts, and, sometimes, end users themselves. This cognitive diversity is uncomfortable to manage but consistently produces more creative, robust solutions than homogeneous expert groups.

Design Thinking in Practice

The applications of design thinking span industries and sectors, illustrating both its versatility and its limits.

Bank of America's Keep the Change programme, which rounds up debit card transactions to the nearest dollar and deposits the difference into a savings account, emerged from design thinking research that revealed a simple insight: many people, particularly women, round up figures when managing household budgets as an informal saving strategy. The innovation was not a new technology. It was formalising a behaviour that people were already exhibiting.

In healthcare, design thinking has been applied to redesigning everything from patient waiting experiences to the layout of surgical equipment trays to the communication of discharge instructions. The Mayo Clinic established a design-led innovation centre specifically to apply these methods to healthcare delivery, resulting in measurable improvements in patient experience and clinical efficiency.

In the public sector, governments, including those of the UK, Denmark, and Singapore, have established design-led units to apply human-centred methods to the delivery of public services. This includes areas such as unemployment support, tax compliance, and benefit claims, where conventional policy design had consistently underestimated the human complexity of the experience.

The Honest Limitations

Design thinking is not a universal solution, and it has attracted thoughtful criticism alongside its considerable enthusiasm.

It can produce outputs that are desirable but not viable or feasible. Innovations that users love in prototype but that cannot be delivered at scale, or that work emotionally but do not generate a commercially sustainable business. The methodology is strong on the human dimension; it requires active complementary rigour on the business and technical dimensions.

There is also a risk of what critics call empathy theatre. This means going through the motions of user research without genuinely allowing the insights to challenge existing assumptions. If the empathy phase is treated as a box to tick rather than a genuine attempt to see the world from a different perspective, the process produces the appearance of human-centredness without the substance.

And design thinking works best as one approach within a broader innovation toolkit rather than as a standalone methodology. Combined with the strategic clarity discussed earlier in this series, the rapid iteration of lean and agile, and the cultural conditions that make genuine experimentation possible, it is genuinely powerful.

Applied in isolation, as a process without a supporting environment, it tends to produce interesting workshops and unimplemented insights.

The fundamental contribution of design thinking to the practice of innovation is a shift in starting position. Rather than beginning with what exists - the technology, the capability, the current product - it begins with who the innovation is for and what they actually need. That shift changes which questions get asked, which information gets valued, which solutions get considered, and ultimately what gets built. And in doing so, it changes the odds of building something that genuinely matters.

Service Innovation: Competing on What Customers Actually Experience

Most discussions of innovation focus on products. New devices, better materials, faster technology. This makes intuitive sense. Products are tangible; their novelty is visible; and their success or failure can be measured clearly by sales and market share. But the majority of economic activity in developed economies no longer happens in manufacturing. It happens in services. And the nature of innovation in services is sufficiently different from that in products that the frameworks and instincts developed around physical goods often mislead when applied to intangible experiences.

Understanding service innovation, and the broader shift toward what economists B. Joseph Pine II and James H. Gilmore argue that the experience economy is increasingly essential for understanding where competitive advantage actually lies and how organisations create value in ways that are difficult for competitors to replicate.

What Service Innovation Is

A service is fundamentally different from a product. A product is a thing. It can be manufactured in advance, stored in inventory, shipped, owned, and used independently of the provider.

A service is an act performed for or with the customer.

It cannot be stored; it is co-created with the customer's participation and consumed at the moment it is produced. You can inspect a product before you buy it; you can only judge a service after you have experienced it.

Service innovation, therefore, is not about creating a better thing but about creating a better experience. Service innovation, therefore, is not about creating a better thing but about creating a better experience.

The airline industry offers a useful contrast. Product innovation in airlines would be a better aircraft. More fuel-efficient, quieter, faster. Service innovation in airlines happens around the aircraft: the booking process, the check-in experience, the quality of on-board service, the handling of delays, and the loyalty programme. Both forms of innovation matter, but the service dimension is often what differentiates airlines in customers' minds more than the aircraft’s technical specifications.

The Progression of Economic Value

Pine and Gilmore's framework of the experience economy provides a useful lens for understanding the shift that service innovation represents. They argued that economic value has progressed through four stages, each representing a higher level of differentiation and a greater value customers are willing to pay for.

At the foundation are commodities - undifferentiated raw materials like wheat, iron ore, or crude oil, traded on price because one unit is functionally identical to another. The economic value is lowest here; competition is purely price-based.

The second stage is goods - commodities that have been manufactured into products. A loaf of bread is more valuable than the wheat it is made from. Differentiation is possible through quality, brand, and features, but goods are still physical objects that can be compared and, to a significant degree, commoditised over time.

The third stage is services - using goods to deliver something intangible that the customer values. A restaurant does not just sell food; it delivers the service of preparing and presenting a meal in an environment where the customer does not have to cook or clean. The value is higher because it is personalised and because it saves the customer time and effort.

The fourth stage is experiences - deliberately staging memorable events that engage customers in personal, meaningful ways. Disney does not just operate theme parks; it creates experiences that families remember for years. Starbucks did not just sell coffee; it created a ‘third place’ experience between home and work. The economic value is highest here because experiences are inherently personal and difficult to replicate.

The progression through these stages is not automatic or universal. Not every industry or organisation moves through all four. But the general direction of travel in developed economies has been clear. As products become commoditised, the next source of value is in how they are delivered and experienced. And that shift makes service innovation increasingly central to competitive strategy.

What Makes Service Innovation Different

Innovating services requires fundamentally different approaches from innovating products, for reasons that are structural rather than incidental.

Services are intangible and heterogeneous. You cannot patent a service experience in the way you can patent a product design. Every service delivery is slightly different because it involves human beings and human behaviour is variable. This means that service delivery consistency is a genuine operational challenge, and that innovation in services often involves not just designing a better process but ensuring it can be delivered reliably at scale.

Services are co-created with customers. The customer is not just a recipient of a service but a participant in it. A medical consultation requires the patient to provide information and follow advice. A restaurant experience requires the diner to engage with the menu and the environment. This co-creation means that service innovation must account for customer behaviour, customer expectations, and the quality of the interaction between the customer and the provider in ways that product innovation does not.

Services are perishable. An empty hotel room tonight or an unfilled seat on a flight generates no revenue; the opportunity is lost permanently. Service businesses, therefore, face capacity and demand management challenges that product businesses do not. Innovation in services frequently involves solving these matching problems. Getting the right capacity in the right place at the right time to meet variable customer demand.

Quality is harder to specify and measure. The quality of a product can be tested objectively against specifications. The quality of a service is largely subjective. Did the customer feel the interaction was courteous? Did the process feel efficient? Were their expectations met or exceeded? This makes service quality management more complex and more dependent on organisational culture, training, and incentive systems than product quality management.

Examples of Service Innovation Across Sectors

Service innovation takes many forms, as varied as the sectors in which it operates, but certain patterns recur.

Process innovation involves redesigning the way a service is delivered to make it faster, more convenient, or more reliable. The shift from bank branches to ATMs to mobile banking is a sequence of service innovations that progressively reduced friction for customers while reducing costs for providers. None of these innovations involved a fundamentally new product; they were innovations in how an existing service (access to money and account management) was delivered.

Self-service models transfer elements of the service delivery to the customer, reducing costs while often increasing convenience. Self-checkout in supermarkets, online check-in for flights, and automated phone systems are all forms of service innovation that shift work from provider to customer. The challenge is to do this in ways that feel empowering rather than merely cost-cutting. Customers will accept self-service if it is genuinely faster or more convenient, but not if it simply offloads provider-imposed inconvenience onto them.

Experience design involves staging the entire service encounter as a deliberately crafted experience. Apple Stores are a widely studied example: the physical layout, the approachability of staff, the Genius Bar, and the way products are displayed for interaction rather than just viewing. All are designed to create an experience that feels different from conventional electronics retail. The products are the same as those available online or from other retailers, but the purchasing experience is distinct.

Platform and intermediation services create value by connecting parties who want to transact. Airbnb does not provide accommodation; it provides a platform that connects people with space to those who need it. Uber connects drivers with passengers. These are pure service innovations. The value lies in the matching, the trust infrastructure, and the transaction facilitation, with no physical product manufactured by the platform provider

Designing for Service Innovation

Innovating services effectively requires capabilities that product-oriented organisations often lack or undervalue.

Deep customer understanding is more critical in services than in products because customers are part of the service delivery system. Observing how customers actually experience a service — where they encounter friction, what frustrates them, and what delights them — generates insights that surveys and focus groups often miss. This is where the design thinking methods discussed earlier in this series become particularly valuable: empathy-driven observation, journey mapping, and prototyping service encounters rather than just designing service specifications.

Systems thinking is essential because services involve multiple touchpoints, multiple actors, and interdependencies that products do not. A hotel stay involves booking, check-in, room service, housekeeping, checkout, and potentially dozens of other interactions. Innovating any single touchpoint without considering how it affects the others risks creating local improvements that degrade the overall experience. Service innovation requires seeing and designing the whole system.

Employee engagement matters more in services than in manufacturing because service quality is largely determined by the people delivering it. A brilliantly designed service process delivered by disengaged, undertrained, or poorly motivated staff will fail. This means that service innovation is inseparable from organisational culture, training, and the incentives that shape frontline behaviour.

Prototyping and iteration in service innovation differ from those in physical prototyping. You cannot build a full-scale model of a service in the way you can prototype a product. What you can do is pilot services in limited contexts, observe what happens, adjust, and scale. The lean and agile approaches discussed elsewhere in this series are, in many respects, better suited to service innovation than to product innovation, because iteration is cheaper and feedback loops are faster.

The Experience Layer

The progression from service to experience is not automatic, but it represents the next frontier of differentiation in many industries where service delivery has become standardised.

An experience is a service deliberately staged to be memorable and emotionally resonant. The tangible service - the meal, the hotel stay, the retail transaction - is the vehicle, but what customers are really paying for is how it makes them feel.

This shift places new demands on organisations. It requires attention to detail across the entire customer journey. It requires consistent delivery, which is difficult to achieve at scale. And it requires an understanding of the customer's emotional and psychological experience that goes beyond functional efficiency.

But when it is done well, experiences create loyalty and willingness to pay premium prices in ways that commoditised products and services cannot. Customers will pay significantly more for a coffee at Starbucks than at a generic café, not because the coffee is dramatically better, but because the experience - the environment, the personalisation, the consistency, the brand identity = is meaningfully different.

Lessons

Service innovation is no less important than product innovation.

In much of the modern economy, it is more important. The organisations that understand this and build the capabilities to innovate services effectively — deep customer empathy, systems thinking, employee engagement, and iterative development — create competitive positions that are more durable than those built on product features alone.

The progression toward the experience economy is not inevitable for every organisation, but the direction of travel is clear.

As products become commoditised and as customer expectations rise, the value increasingly lies not in what is sold but in how it is delivered and experienced. Competing on experience requires innovation in services. And innovating services requires capabilities, cultures, and mindsets that most organisations, historically built around physical products, still need to develop.

Service innovation becomes not just an operational improvement but a strategic necessity. The organisations that recognise this and invest accordingly will be the ones that sustain competitive advantage in markets where the product itself is no longer enough

The Culture of Innovation: Why the Conditions Matter as Much as the Ideas

Ask most organisations whether they want to be innovative, and the answer is an immediate yes. Ask them whether they have successfully built a culture that enables innovation, and the answer becomes more complicated.

This is one of the most persistent gaps in organisational life. Companies invest in innovation labs, hire creative talent, run ideation workshops, and adopt the language of experimentation. And then watch, with quiet frustration, as the energy dissipates and the same old patterns reassert themselves. The ideas dry up. The risk-takers leave. The cautious logic of short-term performance crowds out the longer-horizon thinking that innovation requires.

The problem, in most cases, is not a shortage of ideas. It is a culture that doesn't know what to do with them.

What Culture Actually Means

Culture is one of those words that gets used so often that it can start to feel abstract. A useful way to make it concrete is to think of culture not as a set of stated values, but as a set of lived behaviours—the things people actually do, especially when no one is watching or measuring.

An organisation's culture is visible in how it responds when something goes wrong. It is visible in who gets promoted and who doesn't, in what gets celebrated in meetings and what gets quietly ignored, in whether people feel comfortable raising difficult questions or have learned, over time, that it is safer to stay quiet. All of these behaviours, accumulated and repeated, form the invisible architecture within which innovation either flourishes or fails.

This is why culture is so hard to change by announcement. You cannot declare an innovative culture into existence. You can only build one by consistently doing the things that make it real. That process takes time, deliberate effort, and leadership that is willing to model the behaviour it is asking others to adopt.

The Conditions That Make Innovation Possible

Psychological safety is the most fundamental of these. The term, developed and studied extensively by Harvard Business School professor Amy Edmondson, refers to a shared belief within a team that it is safe to take interpersonal risks. To speak up, to disagree, to admit uncertainty, to propose ideas that might not work. Without it, people self-censor. They share the ideas they think will be well received, not the ones they actually find most interesting or important. They tend to avoid surfacing problems that could reflect poorly on them. The result is an organisation that only ever hears what it wants to hear, which is not a foundation for genuine innovation.

Psychological safety does not mean an absence of challenge or accountability. The most innovative teams tend to be both safe and demanding. Environments where people feel secure enough to take risks, and where the quality of thinking is held to a high standard. These are not in tension; they are complementary.

A healthy relationship with failure is closely related. This phrase is used so often in innovation circles that it has almost become a cliché, but the underlying point remains important and genuinely difficult. Most organisations, regardless of what they say in their values statements, treat failure as something to be avoided, minimised, and, if possible, quietly forgotten. The implicit message is that it’s best not to try things that might not work.

The problem with this is obvious. Innovation, by definition, involves doing things that haven't been done before. The probability of getting everything right the first time is low. An organisation that cannot tolerate failure cannot really innovate. It can only make incremental improvements to things it already knows how to do.

What distinguishes genuinely innovative cultures is not a reckless enthusiasm for failure. They’re clear about which failures are worth learning from and which are worth avoiding.

Failing because you moved too fast, cut corners, or ignored available evidence is not valuable. Failing because you tested a well-reasoned hypothesis that turned out to be wrong is how knowledge advances.

Making that distinction explicit is one of the most important cultural signals a leader can send.

Curiosity as an organisational norm. Innovative cultures tend to be characterised by a restless interest in how things work, why customers behave as they do and what is changing in the world. This curiosity is not confined to a designated innovation team or a creative department. It is broadly distributed, encouraged at every level, and fed by deliberate practices. For example, bringing in outside perspectives, visiting customers, reading widely, and making space for conversations without an immediate commercial purpose.

The opposite of this is an organisation that has become comfortable with what it already knows. Where the standard answer to a novel question is "that's not how we do things here." Comfort with existing knowledge is the natural tendency of successful organisations. It is also one of the primary reasons that successful organisations eventually fail to adapt.

Diversity of perspective. Organisations where everyone has a similar background, a similar way of thinking, and a similar set of assumptions tend to converge quickly and comfortably on familiar solutions.

Diverse teams, by contrast, generate more friction and more range. The path to consensus is harder, but the quality of the outcome is often better. More assumptions have been challenged, and more possibilities have been explored.

This is not a straightforward cultural fix. Diversity without inclusion produces little benefit and considerable cost. The cultural work is not just about diversifying who is present, but about genuinely diversifying whose perspectives shape thinking.

The Leadership Problem

Culture is, ultimately, a leadership problem. Not exclusively, as many forces shape culture. But leadership sets the tone more than almost anything else, and nowhere is this more true than in the context of innovation.

Leaders who say they want innovation but visibly punish failure create cultures that don't innovate. Leaders who claim to want fresh thinking but dismiss ideas that challenge their own create cultures where people stop offering fresh thinking. Leaders who reward short-term performance at the expense of longer-term exploration create cultures that are efficient in the present and brittle in the future.

The reverse is also true—leaders who model intellectual humility. Those who ask more questions than they provide answers, who treat a failed experiment as a source of useful information rather than a problem to be managed, tend to create cultures that reflect those behaviours. Permission to be curious, to take risks, to be wrong and learn from it, travels fastest when it comes from the top.

This does not mean that innovative cultures require exceptional or charismatic leaders. It means they require consistent ones. People who behave in alignment with the values they articulate. Over a sufficiently long period for the behaviour to become embedded rather than exceptional.

Culture and Structure in Tension

One of the most common mistakes organisations make is treating culture and structure as separate levers. In practice, they are deeply intertwined. A culture that values experimentation will be undermined by a governance structure that requires three layers of approval before anything new can be tried. A culture that claims to value frontline insight will be hollowed out by a hierarchy that ensures frontline voices never reach decision-makers.

Getting the structural conditions right does not automatically create a good culture. But getting them wrong can reliably destroy one. Incentive systems, reporting structures, resource allocation processes, and decision-making frameworks all send powerful signals about what an organisation actually values, regardless of what it says it values.

Why This Is So Hard. And So Worth It

Building a culture of innovation is genuinely difficult. It requires sustained attention over years rather than months. It requires leaders who are willing to model behaviours that don't always feel natural or comfortable. It requires structural changes that can be politically contentious. And it requires a willingness to accept short-term costs in exchange for long-term adaptability.

The organisations that navigate this best are not necessarily the ones with the most resources or the most brilliant individuals. They are the ones who have built environments where good thinking is possible, where ideas are genuinely valued, and where the people doing the work feel safe enough to bring their best selves to the work.

That is what a culture of innovation actually means. Not a bar football table. Not an away day. Not a set of values printed on the wall. A sustained, deliberate, consistently reinforced set of conditions that makes better thinking and better outcomes more likely.

One Idea, Many Rhythms: How Innovation Works Across Different Industries

Innovation is often seen as a universal concept. But if you explore how different industries innovate, you’ll find a richer and more complex picture. I’ve worked on innovation briefs across many different categories over the years, but the way we’ve approached ‘new product development’ has been very different.

Pharmaceutical companies, fashion brands, tech startups, and breakfast cereal makers all innovate. Yet their timescales, risks, regulations, and success criteria vary greatly.

Recognising these differences changes how we view the approach and requirements of innovation.

Let’s delve into four distinct categories.

Pharma: The Long Game

Patience is a strategic asset in the pharmaceutical industry. Drug development is one of the most costly and time-consuming processes in any sector. Developing a new drug can take 10 to 15 years and cost around $2 billion.

The failure rate is staggering. Most drug candidates that enter clinical trials never reach the market.

Still, the industry keeps investing. Why? Because the potential rewards are massive. Without innovation, a pharmaceutical company has a ticking clock. Patents expire, and generics fill the market.

Pharma's innovation is defined by rigour and portfolio thinking.

Rigour is essential due to strict regulatory and ethical standards around drug safety. Portfolio thinking means no single drug can support an entire organisation’s innovation strategy. Companies spread risk across various compounds, knowing that most will fail, but a single success can cover everything.

Pharma doesn’t move as fast as tech startups. It builds long-term processes with staged investments and careful gatekeeping. There's a tolerance for years of work that may ultimately fail.

Fashion: Innovation at the Speed of Culture

In fashion, almost everything shifts. While pharma measures innovation in decades, fashion counts in weeks. Fast fashion, led by brands like Zara and H&M, has turned a two-season cycle into a continuous flow of new products. Zara, for example, can take a design from concept to store in just two weeks.

This type of innovation is about cultural awareness and operational agility. Zara’s model focuses on how it produces rather than what it produces. Integrated supply chains, small production runs, and feedback loops allow for real-time responses to customer preferences.

Fashion also highlights where innovation happens. In pharma, it’s in the lab. In fashion, it’s where design, supply chain, and trend forecasting intersect. This blend of creativity and precision is hard to replicate.

However, fashion faces a growing tension between rapid innovation and sustainability. The environmental impact of producing vast amounts of short-lived clothing is significant. This poses a challenge: how to maintain momentum while managing scarce resources.

The companies that solve this will shape the industry's future.

Technology: Iteration as Philosophy

The tech sector has greatly influenced modern views on innovation, sometimes negatively. Familiar mantras like “move fast and break things” can encourage poor quality if misapplied.

Top tech companies treat product development as a continuous loop, not a linear path. The model of research, development, and launch has been replaced by a more fluid approach. Products are released early, user behaviour is observed, and the product evolves based on feedback.

The launch is just the start of the innovation journey.

This method works in tech partly because software updates are cheap and instant. The cost of making mistakes is low. This allows for quick corrections without losing years of effort or money.

What tech has encouraged is the practice of testing assumptions early. Instead of creating a complete product, you build a minimal version to learn if your core idea is correct.

This principle has spread beyond tech for good reason. The logic is sound: reduce the cost of being wrong by failing sooner.

FMCG: The Innovation Paradox

Fast-moving consumer goods (FMCG) present a unique innovation challenge. These markets are large, competitive and have tiny margins. Consumers tend to stick to familiar brands, making it hard to disrupt habits.

This creates the FMCG innovation paradox. Companies like Unilever, Procter & Gamble, and Nestlé invest heavily in innovation. But their size makes radical changes risky and rare.

New flavours, reformulated products, and improved packaging are the staples of FMCG innovation. These are incremental, carefully tested, and rolled out with military precision.

The testing process in FMCG is thorough. New products often go through consumer research, regional trials, and retail performance modelling. The innovation funnel is highly systemised. A product is deemed a failure if it doesn’t achieve a sufficient repeat purchase rate.

Yet disruption does happen, often from entrepreneurs and challenger brands.

The craft beer movement challenged major breweries. Direct-to-consumer brands disrupted legacy personal care giants. Often, disruption arises from a different model of engaging with consumers.

IN SUMMARY

When you compare these four sectors, the differences are clear.

This means there is no single template for effective innovation. The best approach depends on your industry. Consider your failure costs, market pace, regulations, and consumer expectations.

Recognising these differences and adapting your innovation process is essential for any organisation. The challenge lies not in finding a universal formula but in understanding your industry's rhythm and ensuring your approach is fit for purpose.