Startup Evaluation

Startup Evaluation

Company, stage, evaluation decision, customer evidence, traction, economics, team, runway, terms, and risks. An evidence-weighted health, venture-suitability, and financing assessment with one top constraint and cheapest test. Every score and verdict traces to evidence, fatal risks remain visible, and the next test has owner, threshold, budget, and stop. Investment advice by narrative, averaging away fatal risk, or treating market size, conviction, or pitch quality as demand.

Evaluate the company the evidence supports, not the story it tells. Distinguish business health, venture suitability, and financing readiness; they are different decisions.

Usage Template

Provide: company, stage, startup type, evaluation decision, customer, problem, product, traction, team, economics, runway, round terms, and known risks. Use the rubric in references/evaluation-rubric.md when scoring is requested.

Workflow

Classify stage, type (SME, innovation-driven, venture-scale, hard-tech, AI-native), lens (founder, diligence, fundraising, pivot), and evidence state. Define the decision and time horizon before calculating a score.

Separate facts, assumptions, self-reported claims, and missing evidence. If the target decision or company identity is unclear, return NEEDS_INPUT. Continue with missing metrics only when the output is explicitly provisional and each gap has a probe.

1. Rank demand evidence from belief and interviews through behavior, payment, retention, expansion, and referral.
2. Score eight dimensions using stage-adjusted weights: pain/beachhead, market/timing, value step-change, PMF/traction, business model/economics, team/governance, capital/runway, and moat/risk.
3. For investor work, cross-check 5T: Team, Target Market, Tech/Product, Traction, Terms.
4. For AI-native or hard-tech cases, test what remains defensible as components cheapen and identify physical, regulatory, deployment, or supply-chain bottlenecks.
5. Diagnose runway and whether spend buys evidence for the next milestone.
6. Name the single constraint most likely to invalidate or unlock the company.
7. Specify the cheapest test, threshold, owner, budget, and stop condition.

Do not average away fatal risk. A healthy cash-flow business may still be a poor venture investment; a large market cannot rescue absent demand evidence.

Trace every score and verdict to the evidence ledger. Stress-test the conclusion against churn, paid acquisition dependence, founder conflict, financing timing, and platform dependency. Calibrate confidence to the weakest decision-critical claim.

Failure Protocol

• NEEDS_INPUT: the evaluation decision, stage, or company boundary is unclear.
• INSUFFICIENT_EVIDENCE: the requested verdict depends on unavailable demand, retention, economics, or terms data.
• VERIFY_FAILED: a score lacks evidence or contradicts the ledger; rescore or mark unknown.
• BUDGET_STOP: return the provisional constraint and highest-value evidence request.

Output Contract

Return status, result (verdict, scorecard, top constraint, fatal risks, and next test), evidence (fact/assumption ledger), unknowns, and next_action with owner and threshold.

Edge Cases

• Pre-revenue company has no retention data: do not assign traction maturity; score the available behavioral test and make payment/usage the next gate.
• Bootstrapped company has strong cash flow but a small market: rate business health separately from venture-scale suitability.

Success Metrics

• Stage, type, decision lens, and evidence maturity are explicit.
• Verdict confidence follows observed behavior rather than narrative polish.
• One top constraint and one cheap falsifiable test govern the recommendation.

Quality Gates

• [ ] Facts, assumptions, self-reports, and missing evidence are separated.
• [ ] Score weights fit stage and business type.
• [ ] Fatal risks are not hidden by averages.
• [ ] Runway, milestone, test threshold, owner, and stop condition are explicit.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: Mark393295827
• Source: Mark393295827/third-brain-v7-skills
• License: MIT
• Homepage: https://github.com/Mark393295827/third-brain-v5-skills/tree/master

Install and usage instructions live in the source repository linked above.