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Behavior led validation

Skill eltntawy/idea-discovery-playbook/skills/behavior-led-validation

16 agent skills to validate software ideas before you build — Mom Test interviews, JTBD, market research, pretotype tests, unit economics, and go/no-go scorecards. For Cursor, Claude Code & skills.sh.

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npx -y skills add eltntawy/idea-discovery-playbook --skill behavior-led-validation

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Orchestrates behavior-led idea and market validation—problem interviews, pretotype experiments, paid traffic, demand proxies, competitor revenue estimates, and unit economics—before build. Use when validating a business idea end-to-end, testing willingness to pay, or planning experiments before build.

SKILL.md

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Behavior-Led Validation

Orchestrator skill. For depth on one step, invoke the child skill listed below. For stage gates and artifact order, start with discovery-playbook.

Principle

Validate with observed behavior and payment, not opinions. Strongest signal: customers pay at the target price before software exists.

Validation order: idea validationmarket validationproduct validation (after a prototype). Landing pages, ad tests, and concierge delivery are not product validation.

Workspace rules

  • No-build boundary: no production app scaffold until idea-scorecard records Strong go or Conditional go.
  • Read discovery/INDEX.md and only discovery/<topic-slug>/ before extending work. Create discovery/INDEX.md if missing.
  • Do not open discovery/archive/ unless the user explicitly asks.

Phase map

PhaseGoalPrimary skills
IdeaProblem is real and painfulassumption-map, problem-discovery, regulatory-risk-scan (if regulated), feasibility-gate
MarketDemand, wedge, economicsmarket-research, competitor-landscape, market-sizing, positioning-wedge, revenue-model
Demand testFalsify riskiest assumptionsvalidation-experiments
DecisionGo / conditional / pivot / killidea-scorecard, discovery-synthesis
Product (post-prototype)Solution fitpmf-sean-ellis

Phase 1 — Idea and market demand (summary)

  1. Problem interviews — follow problem-discovery (15–20 ICP, Mom Test ladder, commitments). Optional switching depth → jtbd-interviews.
  2. Willingness to pay — priced landing + Stripe or equivalent; thresholds in validation-experiments. Not validated: email-only waitlist.
  3. Paid traffic — ~$100–$500; track CTR and conversion; compute ILI when applicable (see validation-experiments).
  4. Desk demand — keywords and forums as research priority proxies only; pair with payment or interviews.

Save under discovery/<topic-slug>/briefs/, research/, or experiments/.

Phase 2 — Revenue and costs (summary)

  • Competitor revenue: headcount heuristic, mobile estimates, aggregators — label all as assumptions.
  • Unit economics: LTV:CAC ≥ 3:1 for strong go; < 2:1 kill — see revenue-model bands.
  • Reference metric bands (directional, verify for segment): seed MRR narratives, B2B retention, NPS — not pass/fail without context.

Full scenarios → revenue-model.

Evidence mapping

Use the canonical hierarchy in idea-scorecard (levels 1–5). Quick reference:

LabelMaps to level
L0–L1 views, likes, compliments1–2
L2 waitlist / signup3
L3 repeat use, design-partner time4
L4 deposit, LOI, pilot5
L5 recurring payment at target price5

Strong go still requires the weighted scorecard bar in idea-scorecard.

Strongest path

When feasible: concierge MVP for a small paid cohort, then automate. Sequence with fake door → concierge per validation-experiments.

Regulated ideas

If health, fintech, legal, or similar constraints apply → regulatory-risk-scan before scaling tests.

Output checklist

  • State validation phase and riskiest assumption
  • List child skills invoked or planned
  • Facts / Assumptions / Evidence / Analysis / Decision / Next experiment
  • Update discovery/INDEX.md when opening or archiving a topic

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