Five Questions to Evaluate Whether a Pain Point Is Worth Solving

The previous post in this series ends with a prioritized list of pain points your team has aligned on. What it does not tell you is whether those pain points are worth solving.

These five questions give you a consistent way to stress-test any pain point before you commit resources to it.

1. Magnitude: How many people have this pain?

Magnitude is a market size question. A pain point that affects a narrow slice of users may still be worth solving, but the business case looks different than one affecting the majority of your target market. Before investing in a solution, understand the realistic population of users who experience this problem.

Segmentation matters here. A pain felt intensely by a small, high-value segment can outweigh a pain felt mildly by many. The question is not just how many people have this pain, but whether the people who have it are the ones your business most needs to serve.

2. Frequency: How often does this pain occur?

A pain users experience daily drives adoption in ways that a pain experienced quarterly does not. Users develop habits around frequent problems. They seek out tools that reduce recurring friction. Infrequent pain, even when severe in the moment, rarely sustains ongoing engagement with a solution.

When evaluating frequency, be specific. “Regularly” is not an answer. “Multiple times per ticket, across every ticket an agent handles in a day” is. The more precisely you can characterize the frequency, the clearer the adoption signal.

3. Severity: How much does this pain actually hurt?

The most useful way to evaluate severity is to ask whether your solution would act as a painkiller or a vitamin.

Painkillers address problems users are already motivated to solve. An error monitoring tool that alerts engineers the moment something breaks in production is a painkiller: without it, engineers find out from customers. Vitamins improve quality of life without removing an active pain. An employee recognition tool that lets teams acknowledge good work is a vitamin: people will tell you they want it, but when budgets get cut, it goes first.

Painkiller problems attract users. Vitamin problems attract interest.

4. Competition: Who else is solving this?

Before you build, understand who is already solving this problem and how. Include manual workarounds in your analysis. If users are maintaining personal spreadsheets, copying information between tabs, or building their own compensating systems, those are competitors too. Manual workarounds also confirm that the problem is real enough that users will invest their own time to address it.

A pain point with no existing solutions is worth examining carefully. Sometimes it signals an untapped opportunity. Sometimes it signals that the problem is not painful enough to warrant a solution. The answer usually lives in your frequency and severity evaluation.

5. Contrast: What complaints exist about current solutions?

If competitors are solving this pain and users are still unhappy, pay attention to the pattern. Consistent complaints across multiple solutions point to a structural gap in how the problem is being addressed, not just an execution failure by a single vendor. That gap is where differentiation lives.

This question only has leverage when you can identify a specific, recurring complaint: not vague dissatisfaction, but a concrete failure that existing solutions share. If you find it, you have a target. If you cannot find a consistent complaint, the existing solutions may be good enough, and building a better version of what already exists is a difficult case to make.

You do not need to answer all five questions, but frequency and severity are the ones you cannot skip. They speak to what the user experiences day to day rather than the market or competitive context around the problem. A pain point with weak signals on both rarely drives adoption, regardless of how favorable the other three questions look.

Applying the Framework: The Support Agent Scenario

The previous post identified two pain points for the Support Agent persona.

1. Agents search the knowledge base, past tickets, product documentation, and account history separately for every ticket because no single interface surfaces all of it.
2. Because each agent searches independently, similar issues get resolved differently depending on what a given agent finds.

Run them through the five questions.

Magnitude is broad. Any company operating a support function at scale faces both problems.

Frequency is high for fragmented search. Agents handle multiple tickets per day, and this fragmented search happens on each one. It is not occasional friction. It is the cost of every resolution.

Severity is painkiller territory. Agents cannot resolve tickets well without the right information. Faster, more consistent access to that information is not a quality-of-life improvement. It is a performance requirement. Agents are already motivated to solve this problem because their metrics depend on it.

Competition exists for both. Helpdesk platforms have knowledge base integrations and search functionality. Manual workarounds, including browser bookmarks, personal notes, and copy-pasted ticket histories, are common, which confirms the problem is real even where formal solutions are available.

Contrast is visible for fragmented search. The consistent complaint across existing solutions is search quality: results are incomplete, outdated, or fragmented across sources that do not talk to each other. Complaints about inconsistent resolution are harder to pin to a specific, shared failure across vendors.

Inconsistent resolution quality presents differently. Individual agents rarely experience it as their own pain. The inconsistency surfaces at the team level across many tickets, not within any single one. From the agent’s perspective, frequency and severity are both lower, even if the business impact is real.

The comparison makes the case for focusing on fragmented search 1st: agents feel it on every ticket, it clears the painkiller test, and existing solutions share a specific, consistent gap. That is a signal that justifies investment.