Product Market Fit Diagnosis

Product-Market Fit Diagnosis

Diagnose whether a product or startup has achieved product-market fit using Marc Andreessen's framework and prescribe specific next steps based on the diagnosis.

When to Use

• Evaluating a startup's current stage and health
• Diagnosing why growth isn't happening
• Deciding what to prioritize (product vs. sales vs. hiring)
• Investment due diligence
• Founder asking "Do we have product-market fit?"

Inputs

Core Framework

Marc Andreessen's product-market fit definition: "Being in a good market with a product that can satisfy that market."

The startup lifecycle divides into two phases:

• BPMF (Before Product-Market Fit): Searching, iterating, surviving
• APMF (After Product-Market Fit): Scaling, hiring, expanding

"The only thing that matters is getting to product/market fit."

Workflow

Step 1: Check for BPMF Symptoms

Look for these indicators that product-market fit has NOT been achieved:

If 3+ symptoms present: Likely BPMF

Step 2: Check for APMF Symptoms

Look for these indicators that product-market fit HAS been achieved:

If 3+ symptoms present: Likely APMF

Step 3: Apply the Feel Test

Andreessen's insight: "If you have to ask whether you have product-market fit, you don't."

When you have it:

• You KNOW. There's no ambiguity.
• The problem becomes "how do we keep up?" not "how do we grow?"
• You're overwhelmed by demand, not searching for it.

Step 4: Diagnose Root Cause (if BPMF)

If not at PMF, identify the likely cause:

Step 5: Prescribe Actions

If BPMF:

• "Do whatever is required to get to product/market fit"
• Consider: changing people, rewriting product, moving markets, taking dilutive funding
• Do NOT scale sales, marketing, or headcount yet
• Focus entirely on finding fit

If APMF:

• Scale aggressively
• Hire ahead of demand
• Invest in infrastructure
• Expand to adjacent segments
• Focus on moat-building

Outputs

PMF Diagnosis Report

## Product-Market Fit Diagnosis: [Product Name]

### Summary
**Status:** BPMF / APMF / Borderline
**Confidence:** High / Medium / Low

### Symptom Analysis

#### BPMF Indicators Present
- [ ] Low value perception: [evidence]
- [ ] Weak word of mouth: [evidence]
- [ ] Slow organic growth: [evidence]
- [ ] Lukewarm reception: [evidence]
- [ ] Long sales cycles: [evidence]
- [ ] Low close rates: [evidence]

**BPMF Score:** X/6

#### APMF Indicators Present
- [ ] Market pull: [evidence]
- [ ] Hiring pressure: [evidence]
- [ ] Inbound interest: [evidence]
- [ ] Usage explosion: [evidence]
- [ ] Viral growth: [evidence]
- [ ] Revenue acceleration: [evidence]

**APMF Score:** X/6

### Diagnosis

[Clear statement of PMF status with reasoning]

### Root Cause (if BPMF)

**Primary Issue:** [Wrong market / Wrong product / Wrong segment / Wrong positioning / Too early]

**Evidence:** [Why this is the likely cause]

### Prescribed Actions

**Immediate (This Week):**
1. [specific action]
2. [specific action]

**Short-term (This Month):**
1. [specific action]
2. [specific action]

**Do NOT Do:**
- [action to avoid given current status]

### The Andreessen Test

"If you have to ask whether you have product-market fit, you don't."

**Verdict:** [Do they know they have it, or are they asking?]

Constraints

• Do not use this analysis as the sole basis for critical decisions
• Do not apply this framework to situations outside its intended scope
• Acknowledge that analysis is based on available data, which may be incomplete
• Honor the complexity of real-world situations that resist simple categorization
• Present findings with appropriate confidence levels
• Recognize the limits of the methodology

Example

Input:

Product: B2B SaaS for restaurant inventory management
Metrics: 50 customers after 18 months, 15% monthly churn, 90-day sales cycle,
most leads come from outbound sales
Company stage: Seed funded, 2 years old
Team actions: Focused on adding features customers request

Output:

Product-Market Fit Diagnosis: Restaurant Inventory SaaS

Summary

Status: BPMF (Before Product-Market Fit) Confidence: High

Symptom Analysis

BPMF Indicators Present

• Low value perception: 15% monthly churn suggests customers not getting enough value
• Weak word of mouth: Most leads from outbound (not referrals)
• Slow organic growth: 50 customers in 18 months is ~3/month
• Long sales cycles: 90 days is very long for SMB software
• Low close rates: Implied by outbound-heavy acquisition

BPMF Score: 5/6

APMF Indicators Present

• Market pull: No evidence
• Hiring pressure: No evidence
• Inbound interest: Minimal
• Usage explosion: No evidence
• Viral growth: No evidence
• Revenue acceleration: No evidence

APMF Score: 0/6

Diagnosis

This product is clearly in BPMF phase. The 15% monthly churn is the most damning signal - customers are actively leaving, indicating the product isn't solving a painful enough problem or isn't solving it well enough. The 90-day sales cycle for what should be SMB quick-decision software suggests either wrong buyer or weak value proposition.

Root Cause

Primary Issue: Wrong segment (possibly wrong market)

Evidence:

• Restaurant inventory is a real problem, but restaurants have thin margins and high failure rates
• They're notoriously difficult customers (time-poor, tech-skeptical)
• The feature-request-driven roadmap suggests chasing customers rather than solving a core problem
• High churn + long sales cycle = not a "hair on fire" problem for this segment

Prescribed Actions

Immediate (This Week):

1. Interview the 10 customers with longest tenure - what's different about them?
2. Calculate actual ROI delivered to retained customers - is it 10x the cost?

Short-term (This Month):

1. Consider pivoting to adjacent market (food distributors, ghost kitchens, catering)
2. Stop adding features; identify ONE thing that drives retention
3. Find 5 customers who would be devastated if you shut down - understand why

Do NOT Do:

• Do NOT hire more sales people (you're not ready to scale)
• Do NOT keep building requested features (you're chasing, not leading)
• Do NOT raise more funding yet (validates wrong direction)

The Andreessen Test

"If you have to ask whether you have product-market fit, you don't."

Verdict: The founders are asking. They don't have it.

Error Handling

Integration

This skill integrates with the marc-andreessen expert. The diagnosis should be delivered with characteristic directness - don't sugarcoat a BPMF diagnosis.

Related skills:

• feature-vs-product-test - Often relevant for BPMF products
• market-over-team-analysis - For root cause analysis
• startup-idea-evaluation - For earlier-stage assessment