Feature · Word Cloud Analysis

Why people love you.
What holds people back.

Two word clouds from your survey’s free-text answers — one mined from your biggest fans, one from the users who almost are. The trick: they’re linked. Click a benefit your core loves, and see exactly what blocks everyone else from loving it too.

Why People Love You
Main benefit, from 48 “Very disappointed” responses
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Hover for counts & sample quotes · click to link the right panel
What Holds People Back
Improvements from “Somewhat disappointed” users who share that benefit
5 of 25 somewhat disappointed users mention “tracking”
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These users already want what your fans have — fix this and they convert
Why it’s different

Most tools count words.
FitSignal connects them.

Benefit → blocker linking

Click “tracking” in the love cloud and the blocker cloud re-filters to only the somewhat-disappointed users who value tracking. You see what’s stopping the exact people most likely to convert.

Verbatims on hover

Every keyword carries its receipts: how many users said it, what share of responses that is, and sample quotes in their own words. No abstraction without evidence.

Real language processing

Stopwords removed, words stemmed and normalized — “track”, “tracked” and “tracking” count as one idea, not three. Persona and date filters apply here like everywhere else.

Straight from the method

“Double down on what users love.
Fix only what blocks the on-the-fence users
who want the same thing.”

That’s the Superhuman playbook in one sentence — and the reason the two clouds are linked. Read the full method →