Product-Market Fit Assessment

PRODUCT-MARKET FIT PHILOSOPHY

Understanding PMF as the Foundation

PRODUCT-MARKET FIT FUNDAMENTALS

WHY PMF ASSESSMENT MATTERS:
☐ PMF is prerequisite to scaling
☐ Scaling without PMF burns money fast
☐ PMF determines company trajectory
☐ Many companies claim PMF prematurely
☐ PMF can be lost, not just achieved

CEO'S ROLE IN PMF:
☐ Honestly assess PMF status
☐ Resist pressure to declare PMF early
☐ Allocate resources based on PMF reality
☐ Drive toward PMF relentlessly
☐ Know when PMF is truly achieved

THE PMF REALITY:
"Most founders think they have PMF when
they don't. True PMF feels like being
pulled by the market, not pushing your
product. When you have it, you know."

SIGNS OF REAL PMF:
☐ Customers come to you (inbound)
☐ Usage is organic and growing
☐ Customers tell other customers
☐ Customers pay willingly (even more)
☐ Losing the product would hurt customers
☐ Sales cycles are shortening

SIGNS OF FALSE PMF:
☐ Growth only from spending money
☐ High churn after initial purchase
☐ Features not actually used
☐ Customers need convincing
☐ Heavy discounting required
☐ Only works with one customer type

THE SEAN ELLIS TEST:
"How would you feel if you could no
longer use [product]?"

If 40%+ say "Very disappointed" = PMF
If <25% say "Very disappointed" = No PMF
25-40% = Getting close

PMF IS A SPECTRUM:
Pre-PMF → Approaching → Initial PMF → Strong PMF
Focus on: Finding → Narrowing → Expanding → Defending

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COMPREHENSIVE PMF ASSESSMENT FRAMEWORK

Product-Market Fit Scorecard

═══════════════════════════════════════
PRODUCT-MARKET FIT ASSESSMENT
═══════════════════════════════════════

COMPANY: _______________
Assessment Date: _______________
Assessor: _______________
Previous Assessment: _______________

═══════════════════════════════════════
SECTION 1: QUANTITATIVE SIGNALS
═══════════════════════════════════════

RETENTION METRICS (Score 1-5 each):

Logo Retention:
Month 1 retention: ___% (benchmark: 90%+)
Month 3 retention: ___% (benchmark: 70%+)
Month 6 retention: ___% (benchmark: 50%+)
Month 12 retention: ___% (benchmark: 35%+)
SCORE: ___/5

Revenue Retention:
Gross Revenue Retention: ___% (target: 85%+)
Net Revenue Retention: ___% (target: 100%+)
SCORE: ___/5

Cohort Analysis:
Are newer cohorts better than older? ☐ Yes ☐ No
Is retention improving over time? ☐ Yes ☐ No
SCORE: ___/5

RETENTION SUBTOTAL: ___/15

GROWTH METRICS (Score 1-5 each):

Organic Growth:
% of new customers from organic: ___%
(target: 30%+ = strong PMF signal)
SCORE: ___/5

Referral & Word of Mouth:
% of new customers from referral: ___%
Net Promoter Score: ___
Customer referral rate: ___%
SCORE: ___/5

Virality:
Viral coefficient (K factor): ___
(>1 = viral, 0.5-1 = good, <0.5 = low)
Time to referral: ___ days
SCORE: ___/5

GROWTH SUBTOTAL: ___/15

ENGAGEMENT METRICS (Score 1-5 each):

Usage Depth:
DAU/MAU ratio: ___% (target varies by product)
| Product Type | Target |
|--------------|--------|
| Communication | 50%+ |
| Productivity | 30%+ |
| B2B SaaS | 20%+ |
SCORE: ___/5

Usage Breadth:
Core feature adoption: ___%
# features used per user: ___
Workflows completed: ___%
SCORE: ___/5

Usage Intensity:
Avg sessions per week: ___
Time in product: ___
Actions per session: ___
SCORE: ___/5

ENGAGEMENT SUBTOTAL: ___/15

ECONOMIC METRICS (Score 1-5 each):

Willingness to Pay:
Price sensitivity: ☐ Low ☐ Medium ☐ High
Upgrade/expansion rate: ___%
Pricing power (can raise prices): ☐ Yes ☐ No
SCORE: ___/5

Sales Efficiency:
Sales cycle length: ___ days (is it shortening? ☐ Y ☐ N)
Win rate: ___% (is it improving? ☐ Y ☐ N)
Inbound vs outbound ratio: ___
SCORE: ___/5

Unit Economics:
LTV:CAC ratio: ___x (target: 3x+)
CAC payback: ___ months (target: <18)
Gross margin: ___% (target: 70%+)
SCORE: ___/5

ECONOMIC SUBTOTAL: ___/15

═══════════════════════════════════════
SECTION 2: QUALITATIVE SIGNALS
═══════════════════════════════════════

SEAN ELLIS SURVEY (Score 1-5):
"How would you feel if you could no longer
use [product]?"

☐ Very disappointed: ___%
☐ Somewhat disappointed: ___%
☐ Not disappointed: ___%

Target: 40%+ "Very disappointed" = PMF
Your score: ___%
SCORE: ___/5

CUSTOMER PULL ASSESSMENT (Score 1-5):
| Signal | Yes/No | Evidence |
|--------|--------|----------|
| Customers come to us | ☐ Y ☐ N | |
| Ask for features (not us pushing) | ☐ Y ☐ N | |
| Pay premium willingly | ☐ Y ☐ N | |
| Expand usage organically | ☐ Y ☐ N | |
| Urgency in buying | ☐ Y ☐ N | |
SCORE: ___/5

CUSTOMER QUOTES & STORIES (Score 1-5):
Do you have strong customer stories?
☐ Can't live without it stories
☐ Measurable ROI stories
☐ Unsolicited testimonials
☐ Case studies that resonate
☐ References readily available
SCORE: ___/5

COMPETITIVE DYNAMICS (Score 1-5):
☐ Win competitive deals regularly
☐ Customers switch from competitors
☐ Clear differentiation articulated by customers
☐ Competitors copying our approach
☐ Low churn to competitors
SCORE: ___/5

QUALITATIVE SUBTOTAL: ___/20

═══════════════════════════════════════
SECTION 3: PMF SCORE CALCULATION
═══════════════════════════════════════

SCORE SUMMARY:
┌─────────────────────────────────────┐
│ Retention:     ___/15               │
│ Growth:        ___/15               │
│ Engagement:    ___/15               │
│ Economic:      ___/15               │
│ Qualitative:   ___/20               │
│ ─────────────────────────────────   │
│ TOTAL:         ___/80               │
└─────────────────────────────────────┘

PMF STATUS INTERPRETATION:
| Score | Status | Action |
|-------|--------|--------|
| 0-20 | Pre-PMF | Focus on finding fit |
| 21-40 | Approaching | Narrow focus, iterate |
| 41-55 | Initial PMF | Validate, don't scale yet |
| 56-70 | Strong PMF | Prepare to scale |
| 71-80 | Exceptional | Scale confidently |

YOUR PMF STATUS:
☐ Pre-PMF (searching)
☐ Approaching PMF (close)
☐ Initial PMF (found, validating)
☐ Strong PMF (ready to scale)
☐ Exceptional PMF (scaling)

═══════════════════════════════════════
SECTION 4: SEGMENT ANALYSIS
═══════════════════════════════════════

PMF BY SEGMENT:
(PMF often varies significantly by segment)

| Segment | Score | Status | Notes |
|---------|-------|--------|-------|
| | /80 | | |
| | /80 | | |
| | /80 | | |
| | /80 | | |

BEST PMF SEGMENT: _______________
Characteristics: _______________
Why it works: _______________

WEAKEST PMF SEGMENT: _______________
Gaps: _______________
Decision: ☐ Fix ☐ Deprioritize ☐ Exit

═══════════════════════════════════════
SECTION 5: PMF IMPROVEMENT PLAN
═══════════════════════════════════════

BIGGEST GAP: _______________

ROOT CAUSE HYPOTHESES:
1. _______________
2. _______________
3. _______________

EXPERIMENTS TO RUN:
| Hypothesis | Experiment | Timeline | Success Metric |
|------------|------------|----------|----------------|
| | | | |
| | | | |
| | | | |

RESOURCE ALLOCATION:
☐ Team focus: ___% of product team
☐ Investment: $_____
☐ Timeline: _____
☐ Kill criteria: _______________

NEXT ASSESSMENT DATE: _______________

PMF Gap Analysis

Dimension	Current	Target	Gap	Priority	Action
Retention	___/15	12+	___	H/M/L
Growth	___/15	10+	___	H/M/L
Engagement	___/15	10+	___	H/M/L
Economic	___/15	12+	___	H/M/L
Qualitative	___/20	15+	___	H/M/L

PMF Tracking Over Time

Date	Score	Status	Key Change	Action Taken
	/80
	/80
	/80
	/80

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