Run a product-market fit survey and diagnose the results

Description

You've shipped your MVP and have some active users, but you're not sure whether you've actually hit product-market fit or just built something 'nice to have.' This runs the classic 'very disappointed' survey, segments the responses, and tells you exactly what to fix.

Design and analyze a product-market fit survey for {{product_name}} to determine whether we've achieved PMF and what to improve.

## Context
- Product: {{product_name}}
- Current active users: {{active_user_count}}
- Launch date: {{launch_date}}
- Primary use case: {{primary_use_case}}
- Current NPS or satisfaction score (if available): {{nps_score}}

## Step 1: Survey Design
Create a survey with these core questions:
1. "How would you feel if you could no longer use {{product_name}}?" (Very disappointed / Somewhat disappointed / Not disappointed)
2. "What type of people do you think would most benefit from {{product_name}}?" (open text)
3. "What is the main benefit you receive from {{product_name}}?" (open text)
4. "How can we improve {{product_name}} for you?" (open text)

Add 2-3 custom questions specific to {{primary_use_case}}:
- Usage frequency question
- Alternative solutions question
- Willingness-to-pay question

## Step 2: Distribution Plan
1. Identify the right cohort to survey (users who've used the product 2+ times in the last 2 weeks)
2. Calculate minimum sample size for statistical significance
3. Recommend distribution channels (in-app, email, Slack)
4. Set a response deadline and follow-up cadence

## Step 3: Analyze Results
If "Very disappointed" responses are:
- **≥40%**: You likely have PMF. Focus on growth.
- **25-39%**: You're close. Segment who the "very disappointed" users are and double down on their needs.
- **

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