Product-Market Fit Assessment

J

Jordan Reyes

@jordan-reyes

·

Evaluate product-market fit using multiple frameworks and signals

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Assess product-market fit for {{product_name}}.

Current metrics: {{current_metrics}}
Customer feedback: {{feedback}}
Market context: {{context}}

**PMF Assessment Framework:**

**1. Sean Ellis Test**
- % very disappointed if gone?
- Target: >40%
- Current result and interpretation

**2. Retention Analysis**
- Cohort retention curves
- Flattening vs declining
- Comparison to benchmarks

**3. Organic Growth Signals**
- Word of mouth %
- Viral coefficient
- NPS scores

**4. Customer Behavior**
- Usage frequency
- Depth of engagement
- Feature adoption

**5. Revenue Signals**
- Conversion rates
- Expansion revenue
- Churn rates

**6. Qualitative Signals**
- Customer enthusiasm
- Unsolicited testimonials
- Customer advocacy

**PMF Scorecard:**
| Dimension | Signal | Status | Confidence |

**Assessment:**
- Pre-PMF / Approaching PMF / PMF Achieved
- Key evidence
- Primary concerns

**If Pre-PMF:**
- Biggest gaps to address
- Hypotheses to test
- Recommended pivots/iterations

**If Approaching PMF:**
- What would push us over
- Key focus areas

**If PMF Achieved:**
- How to accelerate growth
- What to preserve

Details

Category

Analysis

Use Cases

PMF assessmentStrategy decisionsInvestor communication

Works Best With

gpt-4claude-3
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