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Discovery · Product case study

Superhuman: Find the people who need you most.

An average can hide a group with an urgent need. Explore how segmentation changes the question, then inspect what the numbers cannot prove.

See the idea in one picture ↓
a product-market fit survey
1 question
studied first
Strong supporters
founder account
2018

Figures as reported by the company.

Independent educational analysis. Scenarios, people, numbers and illustrations on this page are original PMcademy practice material, not company research results or an endorsement.

The tension

A launch decision needs more than enthusiasm.

Before

One average hides who needs you

After

One segment shows where to focus

Read the analysis

Imagine you manage a new reporting tool. Some people rely on it every afternoon, while others tried it once and left. A single satisfaction average gives the team an easy number but a difficult decision. Should you broaden the feature set or deepen the experience for the people who already depend on it? Start by defining what you need to learn, rather than choosing the answer with the largest audience.

The person

A situation is more useful than a flattering persona.

LLeenaCoordinates five client updates a dayFictional person
“If this tool disappeared tomorrow, my afternoons would fall apart.”
✓ Reliable hand-offs✓ Speed under pressure✕ Features built for occasional users✕ Noise in a blended score
Go deeper · LessonMeasuring the thing everyone talks about
Read the analysis

Our fictional learner, Leena, coordinates five client updates each day. A missed message can block another person’s work. Compare her situation with someone who prepares one personal report a month. These people may want similar-looking screens for very different reasons. A segment becomes useful when it explains a recurring need, constraint, or benefit. Calling someone a power user only restates the activity you observed.

The idea in one picture

From one average to one segment

“How would you feel if you could no longer use it?”36 answers, one blended averageVerydisappointedSomewhatdisappointedNotdisappointedStudy this groupWho they areThe main benefit they nameWhat holds the others back
  1. 1Ask one question

    Everyone answers how they would feel if the product went away.

  2. 2Sort the answers

    Group people by answer instead of reading a single blended score.

  3. 3Study one group

    Learn who the very disappointed are and the main benefit they name.

Animated illustration. Names, numbers and people are fictional teaching material.

The mechanism

Change the group. Keep the denominator.

Change one thing · Practice model
24 of 80 · 30% strong support. Icons show the approximate proportion.

Illustrative data and simplified behaviour. This model does not represent a live company system or measured company results.

Go deeper · LessonFit is a property of a segment
Read the analysis

Use the model below to inspect three fictional survey groups. Notice that a higher support percentage can come from a smaller selected group. That can be a promising lead, but selecting the best-performing group after seeing the data creates a hypothesis to validate. It does not turn a small survey into proof of a broad market. Keep eligibility, response counts and nonresponse beside every percentage.

The trade-off

Focus creates both clarity and exclusions.

You gain
  • A clear first audience
  • Sharper onboarding
  • Faster learning loops
You give up
  • Other needs wait
  • A smaller market at first
  • Risk of over-fitting one group
Read the analysis

Suppose daily coordinators consistently value reliable handoffs. You might prioritise that workflow, explain it more clearly in onboarding, and recruit more people in the same situation. That choice also postpones other needs. Write down who benefits, who waits, and what would justify expanding later. Avoid assuming that every complaint from a less-engaged group is irrelevant; accessibility and safety problems can cross segment boundaries.

The evidence

Look for the behaviour behind the survey.

What Superhuman says

The founder describes a survey, a strong-supporter segment and focus on their main benefit.

What it cannot prove

That the method works for every business or that one threshold proves fit.

What you would measure
  • Answers by segment, not overall
  • Retention of the focus segment
  • Benefit named in their own words
Go deeper · LessonSegments you can defend
Read the analysis

For your project, combine the survey lead with an observed task and a meaningful return event. Ask which benefit people would miss and what alternative they would use. Check whether the promising group remains promising in a fresh sample. Keep acquisition channel and tenure visible. If the story depends on excluding inconvenient responses without a principled eligibility rule, revisit the claim before presenting it to the team.

Your decision

Which uncertainty deserves the next week?

Your fictional team can either add three features requested by occasional users or investigate the daily coordinators’ handoff problem. Neither option is universally correct. Choose the next action that most reduces uncertainty about a valuable, reachable need. Explain the cost of being wrong, the evidence you already have, and the smallest observation that could reverse your choice.

Choose a next move

Make it yours

Leave with a segment hypothesis.

Your artifact

Write a segment hypothesis and a two-week evidence plan. Include one result that would make you abandon the focus.

Prompt worth stealing

Critique my project artifact using only the evidence I provide. Write a segment hypothesis and a two-week evidence plan. Include one result that would make you abandon the focus. Separate observed facts, assumptions, proposed tests and missing evidence. Identify a failure mode and a cheap check. Do not invent company results or user research. Ask for my artifact before starting.

Read the analysis

Create a one-page segment brief: situation, repeated need, current workaround, main benefit, source evidence, and missing evidence. Add one comparison group and a fresh-sample validation plan. Keep survey counts separate from forecasts. Your deliverable is a focused research decision, not a declaration that you have found product-market fit.

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