Feature · Personas & Segments

Averages lie.
Segments tell the truth.

A 52% overall score can hide an 87% among engineers and a 37% among executives — two completely different businesses. FitSignal tags every response with a persona, so you always know who you have fit with, not just whether.

PMF by Persona
Breakdown by customer segment
Target personas only
PersonaPMF ScoreDistributionResponses
Software Engineer 87.5%8
Individual Contributor 66.7%6
Product Manager 62.5%8
Executive 37.5%8
ⓘ Engineers are your beachhead. Executives need a different story — or aren’t your market.

Target personas, starred

Mark the segments you’re building for. One toggle filters every dashboard to them — and the AI analysis weighs their voices heavier when ranking what to fix.

Start in minutes, not workshops

Eight preset persona templates to start from, custom ones when you outgrow them. Assign in bulk, filter customer lists by persona, and reorder as your ICP sharpens.

Flows through everything

The same persona filter applies to the score, the trend, both word clouds, and the AI themes. Ask “do engineers have a different blocker than PMs?” and get an answer in two clicks.

Why this matters

PMF is found in a segment first.

No product fits everyone at once. The Superhuman playbook starts by finding the segment where “very disappointed” is already above 40%, learning what they love, and expanding outward from there. Survey answers to “what’s your job title?” feed persona assignment automatically — so segmentation isn’t extra work, it’s a by-product of asking.

1 · Find your beachhead segment87.5% — found
2 · Double down on what they loveword clouds
3 · Fix what blocks the next segmentAI analysis
4 · Re-measure the next cohorttrend chart