nw-ab-critique-dimensi…
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
Evidence quality validation and decision gate criteria for product discovery reviews
$ npx -y skills add nWave-ai/nWave --skill nw-pdr-review-criteria --agent claude-codeHow it fires
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/nw-pdr-review-criteriaContext preview
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Evidence quality validation and decision gate criteria for product discovery reviews
name: nw-pdr-review-criteria description: Evidence quality validation and decision gate criteria for product discovery reviews user-invocable: false disable-model-invocation: true
"Tell me about the last time..." | "When did you last..." | "What happened when..." | "Walk me through how you..." | "What did you try..." | "How much have you spent on..." Specific dates, dollar amounts, named tools, concrete examples, emotional frustration language
"Would you use/pay/like..." | "Do you think..." | "Imagine if..." | "What if we..." Flag and reject if >20% of evidence is future-intent.
| Phase | Minimum | High Confidence | Notes | |-------|---------|-----------------|-------| | 1: Problem | 5 | 10 | Interviews required | | 2: Opportunity | 10 | 20 | Quantitative supplements, not replaces | | 3: Solution | 5 per iteration | 3 iterations max | Before decision | | 4: Viability | 5 | -- | Stakeholder review required |
Pivot decision rule: min 5 consistent signals. Block decisions on fewer.
Proceed: 5+ confirm pain + willingness to pay | Pivot: differs from expected | Kill: <20% confirm Checks: 5+ interviews, >60% confirmation, customer words, 3+ examples
Proceed: top 2-3 score >8 (0-20) | Pivot: new opportunities | Kill: all low-value Checks: OST complete with 5+, scores correct (Importance + Max(0, Importance - Satisfaction)), top >8/20
Proceed: >80% task completion, usability validated | Pivot: needs refinement | Kill: fundamental blocks Checks: 5+ users/iteration, >80% completion, core flow usable, value validated
Proceed: 4 risks addressed, model validated | Pivot: adjustment needed | Kill: no viable model Checks: Lean Canvas complete, all risks green/yellow, stakeholder sign-off
Signals: only positive quotes | skeptics not interviewed | disconfirming evidence dismissed | same questions for "right" answers Fix: include skeptics, actively seek disconfirming evidence
Signals: all existing customers | no churned/non-adopters | lacks diversity | single-enthusiast referral chain Fix: random/diverse selection, include skeptics and non-users
Signals: conclusion decided before research | findings match hypothesis perfectly | no surprises | idea-in = idea-shipped Fix: track idea evolution, expect 50%+ ideas to change
Signals: major decisions on 2-3 interviews | single quote as "validation" | pivot on one signal Fix: min 5 interviews per segment, 5+ signals for decisions
| Pattern | Detection | Bad | Good | Severity | |---------|-----------|-----|------|----------| | Leading questions | Suggests desired answer | "Don't you think this would save time?" | "Tell me about the last time you tried to save time on this" | high | | Future-intent | Hypothetical behavior | "Would you use this feature?" | "What have you tried to solve this problem?" | critical | | Compliments as validation | Accepting "that's cool" | "They loved the idea!" | "They committed to follow-up and referral" | high | | Talking > listening | >30% interviewer talk | Long questions, short responses | Open questions, extended answers | medium |
| Pattern | Detection | Severity | |---------|-----------|----------| | Skipping to solutions | Solution before problem validated | critical | | Demographic segmentation | Segments by demographics not jobs | medium | | Building before testing | Code before Phase 3 | critical |
| Pattern | Detection | Severity | |---------|-----------|----------| | Premature pivoting | Direction change on 1-2 signals (need 5+) | high | | Solution love | Defending despite evidence, dismissing critics | high | | Sole source of truth | Only quant OR qual, not both | medium |
AI agents that guide you from idea to working code, with human judgment at every gate. nWave runs inside Claude Code. It breaks feature delivery into seven waves (discover, diverge, discuss, design, devops, distill, deliver).
Repo: nWave-ai/nWave
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