PMF survey analyzer
Run the Sean Ellis PMF survey, pipe results through Meridian, and get a scored segmentation in under 60 seconds.
Ingredients
- One CSV export from Typeform / Google Forms
- The canonical question: “How disappointed would you be if you could no longer use [product]?”
- Meridian API key with
survey:readscope
Steps
- 1Upload CSV to
/api/v1/surveys/import - 2Meridian auto-detects the disappointment column and buckets responses: Very, Somewhat, Not at all.
- 3Call
POST /api/v1/surveys/analyzewithmethod=pmf - 4Read the response: overall PMF score, persona clusters, and verbatim highlights from the “very disappointed” segment.
Output shape
{
"pmf_score": 0.42,
"segments": [
{ "bucket": "very_disappointed", "count": 84, "pct": 42 },
{ "bucket": "somewhat", "count": 72, "pct": 36 },
{ "bucket": "not_at_all", "count": 44, "pct": 22 }
],
"personas": [
{ "label": "Power users", "size": 84, "top_quote": "..." }
],
"threshold_met": true
}Interpretation
≥40%
Strong PMF signal
25–39%
Niche traction
<25%
Revisit positioning