Human difference is usually treated as something design must accommodate. But what if it is also one of the most valuable resources we have for imagining what comes next?
Innovation often begins with an attempt to solve a problem. A company wants to develop a better product, a public institution needs to improve a service, or an organisation is looking for new ways to work. The process typically involves identifying a need, exploring possible solutions and evaluating which approach offers the greatest value.
But the way a problem is defined has an enormous influence on the solutions that become possible. If everyone involved shares similar experiences, assumptions and expectations, they may identify the same challenges and arrive at familiar answers. Even highly skilled teams can struggle to recognise possibilities that lie outside their collective understanding of how the world works.
This is where human difference becomes interesting. People encounter technologies, organisations and everyday environments in different ways. Their abilities, backgrounds, experiences and circumstances influence what they notice, what they find difficult and which opportunities they recognise. A situation that appears straightforward to one person may reveal significant limitations to another. An activity that most people take for granted may require someone else to develop an entirely different approach.
These differences are often discussed in terms of barriers, inequalities and the need for inclusion. That perspective is essential, particularly when products and services exclude people or make participation unnecessarily difficult. But it captures only part of the potential value of human variation.
Different experiences can also reveal opportunities that conventional approaches to innovation overlook. They can challenge assumptions about what a product should do, how a service should operate or which capabilities technology could make available. In some circumstances, they may even change our understanding of the problem we are trying to solve.
This suggests a different starting point for innovation. Rather than developing solutions around a relatively narrow understanding of human needs and subsequently adapting them for people who do not fit the original assumptions, we can involve different perspectives in defining the possibilities from the beginning.
The ambition is not simply to design solutions that work for more people. It is to discover whether understanding people differently can help us design better solutions altogether.
The assumptions we rarely question
Every design process begins with assumptions. We make judgements about who will use a product, which activities matter, what constitutes a successful outcome and how people are likely to behave. These assumptions are necessary because no organisation can investigate every possible circumstance before making a decision.
The difficulty arises when assumptions become so familiar that they are no longer recognised as assumptions.
A company developing a digital service may imagine its users as people who are comfortable navigating menus, reading instructions and entering information into forms. A workplace technology may be designed around employees who can concentrate for extended periods, communicate in conventional ways and perform tasks within a standard working schedule. An educational platform may assume that learners process information in similar ways and benefit from the same forms of interaction.
These choices are not necessarily the result of deliberate exclusion. More often, they reflect the experiences of the people developing the solution and the expectations embedded in existing systems. When a particular way of working or interacting has become normal within an organisation, alternatives may appear unnecessarily complicated or difficult to justify.
This can create a circular relationship between existing products and future innovation. Designers observe how people use current technologies, identify opportunities to improve those interactions and develop new solutions based on the same underlying assumptions. The result may be a better version of an existing product without a serious examination of whether the product could function differently.
Human difference can interrupt this process.
Someone who cannot use a conventional interface may question why that interface is necessary in the first place. A person unfamiliar with an established professional practice may ask why an activity is organised in a particular sequence. Someone whose circumstances do not fit a standard service model may reveal that the model itself is unnecessarily restrictive.
These observations do not automatically lead to innovation. Sometimes the existing design is appropriate, and sometimes alternative approaches introduce new difficulties. But they create an opportunity to examine assumptions that would otherwise remain invisible.
This is one reason why innovation cannot be understood solely as a question of technical expertise. Technical knowledge is essential for developing solutions, but understanding which solutions are worth developing also requires knowledge of the people and circumstances those solutions are intended to serve.
From accommodating difference to learning from it
Accessibility provides a particularly useful example of how different human experiences can influence innovation.
Many products, services and environments are developed around assumptions about physical, sensory or cognitive abilities. When those assumptions do not reflect the needs of some users, additional adaptations may be required. A digital service might need to become compatible with screen readers, a building may require an alternative entrance, or a communication system may need to support different ways of interacting.
Removing these barriers is important in its own right. People should not have to demonstrate that accessibility generates commercial benefits before they can expect equal opportunities to participate.
But accessibility can also reveal limitations in the original design that are relevant far beyond the group whose needs first made them visible.
Consider the relationship between people and digital interfaces. A conventional computer interface assumes that users can see a screen, interpret visual information and operate a keyboard or pointing device. These assumptions work reasonably well for many people, but they are not universal.
People who cannot interact with technology in these ways may depend on speech recognition, screen readers, alternative input devices or other forms of assistive technology. Developing such solutions requires designers to reconsider how information can be presented and how people can communicate their intentions to a system.
The resulting insights may have applications beyond accessibility. Speech-based interaction can be useful when someone’s hands are occupied. Audio interfaces can support activities in situations where looking at a screen is impractical. Alternative ways of presenting information can make complex systems easier to navigate under a wider range of circumstances.
The important point is not that a solution developed for one group will necessarily benefit everyone. Different needs can conflict, and accessibility requirements should not be reduced to opportunities for mainstream product development.
The more significant insight is that people who experience limitations in existing systems may possess knowledge about alternative ways of organising those systems. Their experiences can help designers recognise possibilities that would not emerge from studying conventional use alone.
This changes the role of accessibility within innovation. Instead of being treated exclusively as a requirement that must be satisfied after the central design decisions have been made, it can become a source of questions that influence the design itself.
What if the conventional interface is not the best starting point? What if the standard sequence of actions is unnecessarily restrictive? What if the difficulty experienced by a particular group reveals an opportunity to simplify the entire system?
Such questions can lead to improvements in accessibility, but they can also open up new directions for technological development.
Difference is more than disability
Disability offers clear examples of how conventional assumptions can limit design, but human difference extends far beyond physical, sensory and cognitive abilities.
Age, education, language, culture, professional experience and economic circumstances all influence how people understand and interact with the world. Different generations may approach technology with different expectations about communication, privacy and independence. People with different professional backgrounds may interpret the same organisational problem in fundamentally different ways.
These variations can be valuable because innovation often requires us to recognise possibilities that established practices make difficult to see.
Consider an organisation introducing artificial intelligence into its daily work. Senior managers may focus on productivity, financial performance and the organisation’s strategic objectives. Technical specialists may identify opportunities for automation and system integration. Employees who perform the work may understand where established procedures create unnecessary complexity, while customers or citizens may recognise problems that are not visible from within the organisation.
Each perspective offers a different understanding of what the technology could achieve.
A project defined primarily as an opportunity to reduce administrative costs might look very different if frontline employees were involved in identifying which activities prevent them from delivering better services. It might change again if people using those services were invited to explain which interactions they find difficult and what improvements would make the greatest difference to their lives.
The resulting innovation might still involve automation, but its purpose could change. Instead of concentrating exclusively on reducing the time required to complete existing processes, the organisation might explore ways to improve professional judgement, make services more responsive or create entirely new forms of assistance.
Different perspectives do not automatically produce better decisions. People may disagree about priorities, and their experiences may lead them to propose solutions that are difficult to reconcile. Some perspectives will be more relevant to particular questions than others, and expertise remains essential.
The value lies in making these differences available to the innovation process. When contrasting experiences are explored constructively, they can expose assumptions, reveal trade-offs and broaden the range of alternatives under consideration.
Difference becomes an innovation resource not simply because different people are present, but because their knowledge can influence how problems are understood and solutions are developed.
The problem with designing for an average person
Many design processes rely on an imagined average user. This approach is understandable because organisations need to make decisions about the people they expect to serve, and statistical information can provide useful guidance.
But averages can become misleading when they are treated as adequate representations of individual experience.
A product designed around average physical dimensions may be uncomfortable or inaccessible for people whose bodies differ from those measurements. A digital service developed for users with an assumed level of technical confidence may create difficulties for people who are less familiar with the technology. A workplace system designed around a standard employee may fail to account for differences in working conditions, communication or cognitive needs.
The problem is not that averages are inherently wrong. It is that they can conceal the variation that matters for design.
When organisations treat this variation primarily as a collection of exceptions, they may develop a standard solution and then add accommodations for people who cannot use it. This can improve accessibility, but it may also preserve assumptions that deserve reconsideration.
An alternative is to explore variation earlier in the process. Rather than beginning with a single imagined user, designers can investigate the different circumstances in which a product or service will be used. They can identify where needs overlap, where they conflict and where flexibility or alternative approaches could create value.
This does not require developing a unique solution for every individual. Such an approach would often be impractical and could introduce unnecessary complexity. Nor does it eliminate the need for priorities, standards and trade-offs.
Instead, it changes how those decisions are informed. Understanding a wider range of human experiences can reveal which assumptions are essential, which are merely conventional and which might be preventing better solutions from emerging.
In some cases, the outcome may be a more flexible version of an existing product. In others, it may be a different approach to the activity itself.
The difference between these outcomes depends partly on when human variation enters the design process.
Participation before the solution is decided
Organisations increasingly recognise the importance of involving users, employees and other stakeholders in technological development. User testing, consultation and participatory design can help identify problems and improve the relevance of new products and services.
But the timing and purpose of participation matter.
When people are invited to evaluate a solution that has already been designed, their influence may be limited to identifying problems within an established framework. They may suggest improvements to an interface, point out accessibility barriers or explain why particular features are difficult to use. These contributions can be valuable, but they may not challenge the assumptions that shaped the solution in the first place.
By that stage, fundamental decisions about the problem, the technology and the desired outcome may already have been made. Budgets may be allocated, technical architectures established and success criteria agreed upon. Changing direction can become expensive or organisationally difficult.
If different perspectives are intended to contribute to innovation rather than merely validate existing decisions, they need opportunities to influence the process earlier.
This begins with how a problem is defined. A public institution might initially describe its challenge as reducing the number of citizen enquiries requiring human assistance. People who use the service may understand the problem differently. They may be less concerned with the number of interactions than with whether they can obtain clear information, resolve complex situations and exercise meaningful control over decisions that affect them.
The distinction can lead to different technological solutions.
A project focused on reducing enquiries may prioritise automated responses and self-service interfaces. A project focused on helping citizens resolve problems effectively might also explore better information, simpler procedures, more accessible communication and improved opportunities to reach knowledgeable employees.
Both approaches could involve artificial intelligence, but they reflect different understandings of what the technology should achieve.
Participation becomes meaningful when people can influence these fundamental choices, not merely comment on how an established solution is implemented.
This does not mean that every participant should have equal authority over every decision. Technical expertise, legal responsibilities, financial constraints and organisational accountability remain important. But these considerations should be brought into conversation with the experiences of those who will live with the consequences.
The objective is not to eliminate disagreement. It is to ensure that different forms of knowledge can influence the direction of development while alternatives remain available.
Artificial intelligence and the opportunity to design differently
Artificial intelligence makes the relationship between human difference and innovation particularly important.
AI systems are increasingly capable of adapting information, interfaces and interactions to different users. They can support communication, generate alternative explanations, translate languages and assist people in performing activities that previously required specialist knowledge or assistance.
These capabilities could make technologies and services more responsive to individual circumstances. A learning environment might offer different ways of explaining complex material. A workplace system could support employees with varied communication needs. A public service might become more accessible through interfaces that allow people to describe their circumstances in different ways.
Such developments could create meaningful opportunities for people whose needs have not been adequately served by conventional systems.
But the possibilities depend on how AI is developed and evaluated.
A system trained and tested primarily around a narrow range of users may reproduce existing assumptions, even when its technical capabilities are sophisticated. An interface may adapt to individual behaviour while still restricting the choices available. A personalised service may become better at predicting what someone is likely to do without strengthening their ability to understand or influence the system.
The distinction between adaptation and agency is important. Technology can respond to differences without necessarily expanding people’s possibilities.
If human variation is treated primarily as a technical problem, the objective may become to classify users more accurately and adapt systems to their predicted needs. This can be useful, but it is not the only approach.
A more ambitious perspective asks what different experiences reveal about how the technology itself should be designed. Rather than simply making an established system work for a wider range of users, developers might reconsider which interactions are necessary, how information should be presented and how people can exercise meaningful choice.
AI could also make it easier to explore alternative designs and test different approaches, potentially allowing organisations to investigate possibilities that would previously have required substantial resources.
Yet technological capability alone will not determine whether these opportunities are realised. The questions organisations ask, the people they involve and the outcomes they prioritise will continue to shape development.
The possibility of creating more adaptive technologies should therefore be accompanied by a greater ambition to understand the diversity of human experiences those technologies are intended to serve.
From diverse perspectives to better decisions
Recognising difference as a source of innovation is only the beginning. The practical challenge is to create processes in which different experiences can contribute to better decisions.
Simply assembling a diverse group of people does not guarantee new ideas or more effective solutions. Participants may have different expectations, unequal opportunities to influence the discussion or conflicting understandings of the problem. Some may possess relevant experience without being familiar with the professional language used by designers and decision-makers.
Organisations therefore need to consider how different perspectives are invited into the process and how their contributions are interpreted.
One starting point is to examine the assumptions behind a proposed solution. Who is the imagined user? Which activities are considered normal? What capabilities are taken for granted? What would have to be true for the solution to work as intended?
These questions can help make implicit assumptions visible before they become embedded in technical or organisational decisions.
A second step is to explore experiences that challenge those assumptions. This might involve people with different disabilities, generations, professional roles or relationships to the organisation. The relevant perspectives will depend on the problem being investigated, and they should be selected for the knowledge they can contribute rather than simply to demonstrate diversity.
The process should then move beyond identifying barriers. Participants can be invited to explore alternative ways of organising an activity, different forms of interaction or outcomes that have not previously been considered.
This is where the relationship between difference and innovation becomes most productive. An experience that initially appears to reveal a limitation may also suggest a different way of approaching the problem.
For example, a person who finds a complex administrative process difficult to navigate may reveal that the process contains unnecessary steps. Simplifying those steps could benefit a much wider range of users. Someone who cannot interact with a conventional interface may suggest alternative forms of communication that create opportunities for new products or services.
Such insights still need to be evaluated. Not every idea will be technically feasible, economically sustainable or appropriate for the intended context. Different requirements may conflict, and some solutions may introduce new barriers.
But these constraints are part of innovation rather than reasons to exclude different perspectives from it. The purpose of exploration is to expand the range of possibilities before deciding which are worth pursuing.
The final decisions should combine relevant lived experience with technical, organisational and other forms of expertise. Human difference contributes knowledge that may otherwise be missing; it does not replace the need for rigorous development and evaluation.
Innovation begins with what we are willing to see
Innovation is frequently associated with technological breakthroughs, new business models and the ability to imagine solutions that do not yet exist. These developments often depend on specialised expertise, investment and a willingness to challenge established practices.
But innovation also depends on what we notice.
A problem that appears insignificant to one person may be a daily obstacle for another. An activity that seems natural within an organisation may appear unnecessarily complicated to someone encountering it for the first time. A technology that works well for its intended users may contain assumptions that prevent it from serving people in different circumstances.
These differences in experience can reveal opportunities that remain invisible when development is guided by a narrow understanding of human needs.
This does not mean that every difference should lead to a new product or that every design must accommodate every possible circumstance. Innovation requires choices, and some competing needs cannot be resolved through a single solution.
But recognising the value of different perspectives changes how those choices are made. Instead of treating human variation primarily as a challenge to be managed after a solution has been developed, organisations can use it to inform what they choose to develop in the first place.
The implications extend beyond accessibility and inclusive design. Different generations can challenge assumptions about how technology should be used. People with varied professional backgrounds can reveal alternative ways of organising work. Individuals whose experiences differ from those of decision-makers can identify needs and possibilities that conventional processes overlook.
The value emerges when these perspectives are given meaningful opportunities to influence the questions being asked and the solutions being considered.
Technology will continue to expand what individuals and organisations are capable of doing. Artificial intelligence, automation and new digital systems will create opportunities to redesign familiar activities and develop entirely new ones. But technological capability does not determine which opportunities we recognise or choose to pursue.
Those decisions depend on how we understand people, which experiences we consider relevant and how willing we are to question established assumptions.
If we approach human difference only as a problem that design must accommodate, we may succeed in making existing solutions accessible to more people. That is important, but it leaves a larger opportunity unexplored.
By treating difference as a source of knowledge, we can begin to ask what entirely different solutions might become possible.
Designing for difference is not simply about making what already exists work for more people. It is about discovering what we might create when we understand people differently.
A question worth discussing
Think of a product, service or process that you know well. Which assumptions about its users have become so familiar that nobody questions them anymore? And whose different experience might help reveal an entirely new possibility?
