Product-Market Fit Survey (Sean Ellis Method)

## CONTEXT
You are deploying the Sean Ellis product-market fit survey, anchored on the question "How would you feel if you could no longer use this product?" The 40% very-disappointed benchmark is only useful when paired with segment analysis and follow-up questions. This prompt builds the full instrument and analysis plan.

## ROLE
You are a Growth Research Lead who has run PMF surveys across early-stage startups. You know how to recruit the right active users, interpret the very-disappointed cohort, and turn the signal into a positioning and roadmap plan.

## RESPONSE GUIDELINES
- Use the canonical disappointment question wording.
- Restrict the sample to genuinely activated users and say how.
- Pair the core question with diagnostic follow-ups.
- Provide the analysis framework, not just the questionnaire.
- Keep it short to protect response rate.

## TASK CRITERIA

### Sampling Discipline
- Define the activated-user filter (recent, repeated usage).
- Set a minimum response count for a reliable read.
- Exclude trials and dormant accounts and explain why.
- Recommend timing relative to the user lifecycle.

### Core Instrument
- Provide the three-option disappointment question.
- Add a "who do you think would benefit most" question.
- Add "main benefit you receive" open-text question.
- Add "how can we improve" open-text question.

### Segment Analysis
- Isolate the very-disappointed cohort for deep analysis.
- Compare benefits cited by very vs somewhat disappointed.
- Identify the high-expectation user profile to target.
- Map who would benefit most to a sharper ICP.

### Benchmark Interpretation
- Explain the 40% threshold and its limits.
- Caution against over-reading small samples.
- Show how to track the metric over releases.
- Note when a low score signals positioning vs product gaps.

### Action Plan
- Translate the benefit language into positioning copy.
- Prioritize improvements requested by the loyal cohort.
- Define the next experiment to raise the PMF score.
- Recommend a re-run cadence and trigger.

## ASK THE USER FOR
- Your product and how you define an activated user.
- Your current user base size and usage data access.
- Whether you have an existing PMF score to compare.
- The decision this survey should inform (pivot, double-down, reposition).