Skip to main content

How To Build Strategy

Identifying problem spaces

A problem space encompasses the complete context in which people experience challenges, not just the visible issues.

A problem space encompasses the complete context in which people experience challenges, pain points, or unmet needs.

Like an iceberg, the visible part represents the obvious challenges that people can easily articulate, while beneath the surface lies a vast network of interconnected factors: emotional responses, workarounds people have developed, social dynamics, environmental influences, and systemic constraints. These hidden elements often hold the key to truly understanding the problem and developing effective solutions.

Consider the problem space of public transport. The surface-level problem might appear to be about getting from point A to point B efficiently. However, as we dive deeper, we discover layers of complexity that shape the true nature of the problem space. People aren't just dealing with physical movement through space - they're managing their time, stress levels, and social relationships. They're making trade-offs between convenience, cost, and environmental impact. They're navigating through systems designed in different eras for different needs.

The Dimensions of Problem Spaces

The Phenomenological Dimension

To truly understand a problem space, we must first grasp how people directly experience and interpret their challenges. This is where phenomenology - the study of structures of consciousness as experienced from the first-person point of view - becomes crucial.

When someone faces a problem, they don't experience it as a set of discrete issues to be solved. Instead, they experience it as a lived reality that affects multiple aspects of their life. Their perception of the problem is coloured by their past experiences, current context, and future aspirations. Their emotional state, social relationships, and personal values all influence how they interpret and respond to the challenge.

Consider remote work communication. When we examine this through a phenomenological lens, we see that people aren't just dealing with the technical challenge of exchanging information. They're experiencing anxiety about being understood correctly, struggling with the blurred boundaries between work and home life, and trying to maintain meaningful human connections through digital interfaces. Each person's experience is unique, shaped by their individual context and circumstances.

The grocery shopping problem space provides another great example. On the surface, it appears to be about getting food and household supplies. But phenomenologically, it encompasses managing household budgets, balancing nutrition with preferences, navigating physical spaces with varying levels of comfort, and even expressing identity through consumption choices. For a parent with young children, grocery shopping might be experienced primarily as a challenge of maintaining focus while managing children's behaviour. For an elderly person, it might centre on physical accessibility and carrying capacity. For someone with dietary restrictions, it might revolve around the cognitive load of constantly reading labels and finding suitable options.

Systems Thinking in Problem Spaces

Problems don't exist in isolation - they're part of larger systems of interconnected elements. Understanding these systems is crucial for effective problem space analysis. A change in one part of the system often creates ripple effects that influence other areas, sometimes in unexpected ways.

Systems thinking helps us understand how different elements of a problem space interact and influence each other. It reveals how attempted solutions can sometimes create new problems, or how fixing a symptom without addressing the underlying cause can lead to recurring issues.

The problem space of urban housing affordability illustrates this systems perspective perfectly.

💡
Case study: Housing
Housing affordability isn't simply a matter of supply and demand - it's influenced by zoning regulations, transportation infrastructure, economic opportunity distribution, wealth inequality, construction costs, interest rates, and cultural preferences for homeownership. When cities attempt to address affordability by focusing solely on increasing housing supply without considering these interconnected factors, they often create new problems: infrastructure strain, displacement of existing communities, or housing that doesn't match the actual needs of residents.

Similarly, the healthcare scheduling problem space demonstrates systemic complexity. A seemingly simple problem like scheduling appointments is actually embedded in a complex web of interdependencies. It involves patient availability, doctor schedules, insurance requirements, medical record systems, and regulatory compliance. Each of these elements influences the others, creating a dynamic system that requires holistic understanding to improve effectively. When healthcare providers implement new scheduling systems without accounting for these interdependencies, they often find that improvements in one area (like online scheduling convenience) create new problems in others (like clustering of certain appointment types that disrupt provider workflows).

Understanding Behavioural Patterns

Human behaviour forms a crucial part of any problem space. People develop habits, create workarounds, and establish patterns of behaviour in response to challenges they face. These behavioural patterns often become so ingrained that people stop noticing them - they become part of the "normal" way of doing things.

Understanding these patterns requires careful observation and analysis. We need to look beyond what people say they do to observe what they actually do. This often reveals important insights about the true nature of the problem space.

The problem space of personal productivity tools reveals fascinating behavioural patterns. When studying how people manage their tasks and time, researchers often observe a significant gap between stated and actual behaviours. Many people describe elaborate systems for organising their work, but observation reveals frequent workarounds: sticky notes placed around computer monitors despite having digital task managers, important information stored in email drafts instead of note-taking apps, or calendar events created not for actual appointments but as reminders or time blocks. These behavioural patterns reveal underlying needs that formal productivity systems often fail to address: the need for visual prominence of urgent items, the desire for friction-free capture of information, or the importance of spatial rather than linear organisation for certain types of thinking.

In the financial management problem space, we might observe that while people claim to make rational decisions based on budgets and planning, their actual behaviour is heavily influenced by emotional factors, social pressures, and cognitive biases. Someone might meticulously track certain expenses while completely ignoring others, not because of their relative importance but because of emotional associations. They might maintain multiple accounts with different mental labels ("savings" vs. "not to be touched") despite paying fees for this separation, because it creates psychological boundaries that help with self-control. Understanding these behavioural patterns is crucial to designing financial products that work with, rather than against, human psychology.

Uncovering Hidden Aspects of Problem Spaces

Effective problem space exploration requires looking beyond the obvious to uncover hidden dimensions that often contain the most valuable insights.

Cultural and Social Dimensions

Every problem space exists within cultural and social contexts that shape how problems are experienced and interpreted. These dimensions often remain invisible until deliberately explored.

The problem space of digital privacy illustrates this perfectly. Technical experts might frame privacy as a matter of data security and access controls. But exploring the cultural and social dimensions reveals much more: privacy expectations vary dramatically across generations and cultures, with younger users often having different but equally nuanced privacy concepts than older ones. For some communities, privacy concerns centre on government surveillance due to historical experiences of oppression. For others, privacy is primarily about maintaining separate social spheres (work, family, friends) rather than absolute confidentiality. Understanding these cultural and social dimensions is essential for creating privacy solutions that actually address users' lived experiences.

In the food delivery problem space, cultural dimensions profoundly shape user needs. Different cultures have vastly different expectations around meal timing, appropriateness of delivery for certain occasions, food temperature, packaging, and interaction with delivery personnel. A delivery experience designed primarily around American fast food culture will fail to address the needs of users from cultures where meals are more formal shared experiences, where certain foods must be consumed immediately after preparation, or where direct handoff of food is important for cultural reasons.

Power Dynamics and Access

Problem spaces are often shaped by power dynamics and access inequalities that can be easy to overlook, especially for those not directly affected by them.

The problem space of digital government services reveals critical power dynamics. When government agencies move services online, they often design for the "average user" with reliable internet access, digital literacy, and time flexibility. This overlooks power dynamics that shape who can actually access these services: people who rely on public computers with time limits, those who access the internet only through mobile phones with data caps, those who need assistance navigating complex forms, or those who can only use online services outside of working hours when support isn't available. Understanding these power dynamics is essential for creating truly accessible digital government services.

In the educational technology problem space, access inequalities shape user experiences in profound ways. Students might technically have "access" to digital learning tools, but that access looks vastly different depending on whether they have their own device or share one with siblings, have high-speed internet or intermittent connectivity, have a quiet space to work or must study in noisy environments, or have parents who can help troubleshoot technical issues. These access inequalities mean that the same educational technology can be empowering for some students while creating additional barriers for others.

💡
Case study: Netflix's Content Discovery Problem Space
When Netflix transitioned from DVD rentals to streaming, they encountered a new problem space: content discovery in an unlimited viewing environment. Initially, they defined this as a straightforward recommendation challenge - how to suggest relevant content to viewers. But deeper exploration revealed a much richer problem space.

Through extensive user research, they discovered that viewing decisions weren't just about content matching preferences - they were about mood, available time, social context (watching alone vs. with others), decision fatigue, and the perceived risk of committing to new content. Viewers weren't simply looking for "good recommendations" - they were navigating complex emotional and social decision processes.

This deeper understanding led Netflix to develop multiple discovery mechanisms rather than just one recommendation system: category rows that support browsing behaviour, personalised artwork that communicates different aspects of the same content to different viewers, "Top 10" lists that leverage social proof, and "Play Something" features that address decision fatigue. By exploring the full dimensions of the problem space rather than just its surface, Netflix created a discovery experience that addressed the actual complexity of how people choose what to watch.

Practical Application: Exploring Problem Spaces

Start by immersing yourself in the problem space. Spend time with users, observe their behaviour, and listen to their stories. Pay attention not just to what they say, but to how they behave and what they feel. Look for patterns and contradictions that might reveal deeper insights about the nature of the problem.

When exploring the problem space of home energy management, don't just ask people about their thermostat settings or utility bills. Observe how they move through their homes at different times of day, when and why they adjust temperature settings, what prompts them to turn lights on or off, and how energy decisions relate to other priorities like comfort, convenience, and family dynamics. Notice workarounds they've developed, like using space heaters in certain rooms while keeping central heating lower, or patterns they might not even recognise themselves, like adjusting the thermostat when stressed rather than when actually uncomfortable.

For the problem space of medication adherence, go beyond asking patients if they take their medications as prescribed. Observe where they store medications in their homes, how they integrate medication-taking into their daily routines, what triggers or reminders they use, and what happens when their routines are disrupted by travel or other changes. Notice emotional responses to different medications, confusion about instructions, or concerns about side effects that might not come up in direct questioning.

Use these insights to develop a rich, multidimensional understanding of the problem space, capturing not just functional challenges but emotional, social, and systemic aspects as well. This comprehensive understanding forms the foundation for defining meaningful problems worth solving and developing solutions that address root causes rather than just symptoms.

Conclusion

Understanding problem spaces is a fundamental skill in product management. It requires a combination of analytical thinking, empathy, and strategic insight. By approaching these challenges with both rigour and openness, we can develop products that truly make a difference in people's lives.

The key is to remember that problem spaces are dynamic - they evolve as we learn more and as circumstances change. Success comes from maintaining curiosity while building expertise, always seeking to understand more deeply while remaining open to new possibilities. This balanced approach enables us to create products that not only solve current problems but help shape a better future.

By exploring problem spaces in their full complexity - including phenomenological, systemic, and behavioural dimensions - we move beyond surface-level solutions to create products and services that truly address people's needs in all their complexity. This deeper understanding is what separates transformative innovations from incremental improvements, and what enables products to create lasting value in people's lives.