Methodology v2
Stage-aware, confidence-weighted scoring. Replaces the legacy GO/REFINE/KILL three-bucket verdict with a four-bucket decision and a per-lens confidence vector.
Each lens (audit-team, audit-market, audit-competition, …) emits two outputs that feed the v2 verdict:
- Pass/fail — boolean, the lens's own rubric.
- Confidence (0..1) — how strongly the lens trusts its conclusion given the evidence it gathered. Low confidence on a fail is a softer signal than high confidence on a fail.
compute_dealbreakers_v2 aggregates these into a four-bucket decision:
All critical lenses pass with high confidence.
Pass with caveats — fixable gaps in 1-2 lenses.
Material weaknesses; iterate before raising.
High-confidence dealbreaker(s) — pivot or drop.
Stage matters. The same lens output is weighted differently for an idea-stage founder vs a Series A applicant — a missing CFO is fatal at Series A and ignorable at idea stage. Stage is captured via setAuditStageSector on save.
Cross-lens consensus. When two lenses make contradictory claims (audit-market: “CAGR 30%” vs audit-competition: “saturated, no growth left”), we surface a consensus warning and downgrade the overall confidence. Read the warnings card on the audit detail page or call GET /api/methodology/consensus/:auditId headlessly.
Cohort percentile. If your audit has a sector tag and at least one other audit shares it, we surface where this idea sits in the cohort distribution. GET /api/methodology/cohort/:auditId.
Calibration. The platform tracks outcomes you record and reports whether the score actually predicts funding events. Mean-funded vs mean-killed score, threshold accuracy, and a suggested GO threshold are exposed via GET /api/methodology/calibration. Aim for ≥30 outcomes before treating the discrimination number as load-bearing.
Which skills emit confidence
Lenses report a 0..1 confidence number alongside their pass/fail. The aggregator weights each lens by its confidence before deciding the overall verdict — a high-conviction fail outweighs a low-conviction pass elsewhere. Skills that currently emit confidence:
| Skill | Confidence drivers |
|---|---|
audit-team | Founder LinkedIn match strength × number of corroborating mentions |
audit-market | TAM source agreement (multi-source-tam) × CAGR confidence interval |
audit-competition | Number of distinct competitors found × evidence freshness |
audit-finance | Comparable count × recency of comparable funding rounds |
audit-traction | Metric verifiability (URLs / tweets / news) × stage match |
audit-problem-solution-fit | Pain-point repetition across sources × intent-strength |
audit-business-model | Comparable monetization patterns × stage fit |
audit-gtm-scale | Channel-test evidence × CAC/LTV plausibility |