pmf-strategy

When the user wants to validate product-market fit, measure PMF, or plan before scaling. Also use when the user mentions "PMF," "product-market fit," "produc...

Strategies: Product-Market Fit

Guides product-market fit (PMF) validation and measurement. PMF occurs when a product precisely meets market needs, creating widespread demand. ~99% of startups fail primarily due to PMF issues (vitamin problems, premature scaling). Use this skill when validating before scaling, measuring PMF, or diagnosing traction problems.

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Definition

Product-market fit (Marc Andreessen): "Being in a good market with a product that can satisfy that market."

Signals: Customers buying rapidly; usage growing; word-of-mouth spreading organically; high retention, low churn.

Sean Ellis 40% Test

Question: "How would you feel if you could no longer use [product]?"

Response	Meaning
Very disappointed	Strong PMF signal
Somewhat disappointed	—
Not disappointed	—
N/A – I no longer use	—

Threshold: 40%+ answering "very disappointed" = PMF achieved. Below 40% = iterate.

Score	Action
Below 25%	Significant changes needed
25–39%	Close to PMF; iterate and improve
40%+	PMF achieved

Best practice: Survey 40–50 active users (used product 2+ times in last 14 days). Segment by user type—some segments may have PMF while others don't.

Limitation: Combine with retention curves, engagement, organic growth; avoid false positives in early stages.

Vitamin vs Painkiller

Type	Definition	Adoption
Painkiller	Solves urgent, acute problems; users actively seek solutions	Fast adoption; high retention; willing to pay
Vitamin	Nice-to-have; incremental benefit; users can live without	Slow adoption; expensive marketing to succeed

~99% of failures: Solving vitamin problems instead of real pain. Validate: Would users be genuinely inconvenienced if your product vanished?

Validation: Talk to users; listen for frustration; run pre-sells; check frequency and time-sensitivity of the problem.

Key Indicators

Indicator	Strong PMF
Retention	High; low churn
CAC vs CLTV	CAC decreasing relative to CLTV
Activation	Strong conversion to paying customers
Growth	Organic; word-of-mouth
NPS	High; enthusiastic advocacy

Common Failures

Failure	Avoid
Vitamin problems	Solve urgent pain, not nice-to-have
Vanity feedback	Use retention data, not polite opinions
Premature scaling	Validate PMF before scaling acquisition
Misalignment	Customer-problem fit before product-build

Product Research & SaaS Context

Area	Notes
Product positioning	Target audience; core value; competitive differentiation
Market research	Competitor analysis; surveys; interviews to validate assumptions
SaaS form	Cloud delivery; subscription; ease of use; dependency on industry standardization
Enterprise / ACV	Customization; data security/private deployment; procurement cycles; buy vs SaaS trade-offs

Use: When discussing PMF for SaaS or enterprise—factor in product research rigor and ACV-specific challenges. See gtm-strategy for enterprise GTM.

PMF as Continuous Process

PMF is increasingly a continuous validation—markets evolve; re-measure as you expand. Target "PMF for a niche" first (40%+ in one segment) before broadening.

Output Format

• PMF assessment (current signals, Sean Ellis score if available)
• Vitamin vs Painkiller diagnosis
• Validation approach (interviews, pre-sells, metrics)
• Next steps (iterate vs scale)

Related Skills

• cold-start-strategy: First users; avoid large-scale paid before PMF
• indie-hacker-strategy: Indie hacker PMF; monetize day one; Ramen profitability
• paid-ads-strategy: PMF testing (small budget) vs conversion-driven (post-PMF)
• google-ads: PMF testing with landing page + $47–500
• gtm-strategy: GTM framework; PMF validation before scaling GTM
• product-launch: Launch execution; validate PMF before scaling
• retention-strategy: Retention as PMF signal; churn as anti-signal