google-search-console
Compatibility pointer for Search Console performance and indexing analysis; maintained in Open Analytics.
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," "product market fit," "Sean Ellis test," "very disappointed," "vitamin vs painkiller," "PMF validation," "premature scaling," or
Claude Code
$ npx -y skills add kostja94/marketing-skills --skill pmf --agent claude-code
Codex
$ npx skills add kostja94/marketing-skills --skill pmf -a codex -y
Cursor
$ npx skills add kostja94/marketing-skills --skill pmf -a cursor -y
Gemini CLI
$ npx skills add kostja94/marketing-skills --skill pmf -a gemini-cli -y
GitHub Copilot
$ npx skills add kostja94/marketing-skills --skill pmf -a github-copilot -y
OpenCode
$ npx skills add kostja94/marketing-skills --skill pmf -a opencode -y
Windsurf
$ npx skills add kostja94/marketing-skills --skill pmf -a windsurf -y
name: pmf-strategy description: 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," "product market fit," "Sean Ellis test," "very disappointed," "vitamin vs painkiller," "PMF validation," "premature scaling," or "validate before scale." For GTM after validation, use gtm-strategy. metadata: version: 1.1.1
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.
**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.
**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.
| 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.
| 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 |
| 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 |
| 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 is increasingly a **continuous validation**—markets evolve; re-measure as you expand. Target "PMF for a niche" first (40%+ in one segment) before broadening.
Marketing Skills is an open-source library of reusable marketing and SEO workflows for AI agents. Install the skills your task needs, provide real product context, and get structured work grounded in explicit methods, checks, and source rules.
Compatibility pointer for Search Console performance and indexing analysis; maintained in Open Analytics.
Compatibility pointer for recurring SEO monitoring; maintained in Open Analytics.
Compatibility pointer for AI assistant referrals and generative search visibility; maintained in Open Analytics.
Compatibility pointer for source, UTM and direct-traffic analysis; maintained in Open Analytics.
Compatibility pointer for GA4 event, key-event and User-ID tracking; maintained in Open Analytics.
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