Finding a problem worth solving
What it is
Finding a problem worth solving means taking what research turned up and establishing two things the research alone does not: how much the problem costs, and who bears that cost. The output is a problem statement with numbers attached.
Why it matters
A research session can reveal a real frustration that affects four people. Without a size, the team cannot tell that from a frustration that affects everyone who signs up, and the loudness of the story decides. Sizing also exposes the case where the cost falls on someone other than the buyer — support staff, a partner, the finance team — which changes who has to be convinced and sometimes changes whether the work is worth doing at all.
Core ideas
Attach a rate and a cost to every problem
How many people hit it, and what it costs each time. Even rough figures change the argument from taste to arithmetic.
Problem repeat buyers re-enter card details at checkout
Rate 42% of repeat buyers, about 1,900 sessions a month
Cost ~40 seconds each, and 28% abandon at the step
Value recovering half the abandoners is ~€9k/month of orders
Numbers with a stated margin of error are far more useful than adjectives.
Separate the frequency from the severity
A rare problem that blocks the task outranks a common one that costs a few seconds. Report both, and do not collapse them into one score yet.
Find who pays
Sometimes the person who feels the pain is not the person who pays for the fix, and sometimes the organisation pays twice — once in the product and once in support time. Name both, because the business case will be judged by the second.
User 40 wasted seconds, some abandon
Support ~60 calls a month about card details, 5 minutes each
Write the problem statement last
Not “we need saved cards” but “repeat buyers abandon at the card step because they must re-enter details they have given before”. The first is a solution; the second leaves room for remembering details without storing a card.
Say what you would do differently
If the rate were 4% rather than 42%, the answer changes. Write the threshold now so the decision is not renegotiated later.
Practice
Size one problem from existing evidence
Take a problem you already believe in and attach a rate, a unit cost and who bears it — using analytics, support logs and a handful of sessions if needed.
Done when: the problem has three numbers with their sources, and a stated threshold below which you would not act.
Write the problem statement
Turn the sized evidence into one sentence naming the person, the goal and the obstacle, with no solution in it.
Done when: two different solutions are visibly possible from the sentence, and neither is mentioned.
Common mistakes
- Problems with no size — the loudest story wins; fix: attach a rate and a unit cost.
- Collapsing frequency and severity — a blocker and an annoyance end up ranked together; fix: report both and rank explicitly.
- Counting only the user’s cost — the support and partner costs vanish from the business case; fix: name everyone who pays.
- A problem statement that names the solution — the cheapest option is excluded before it is considered; fix: state the obstacle, not the feature.
- No threshold — the decision is argued again after the numbers arrive; fix: write the number below which you would not act.
Go deeper
- Product Discovery (04-product-process/04-product-discovery) — the track this chapter opens.
- Testing a solution cheaply (04-product-process/04-product-discovery/02-testing-a-solution-cheaply) — what to do once the problem is sized.
- User Research (03-design-ux/05-user-research) — the methods that produce this evidence.
- From findings to decisions (03-design-ux/05-user-research/04-from-findings-to-decisions) — the same clustering and counting discipline.