Skip to content
Development
Skill

/nw-pdr-review-criteria

Evidence quality validation and decision gate criteria for product discovery reviews

From plugin
nwave
591200 skills34 agents27 commands
Install
$ npx -y skills add nWave-ai/nWave --skill nw-pdr-review-criteria --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/nw-pdr-review-criteria

Context preview

The summary Claude sees to decide when to auto-load this skill.

Evidence quality validation and decision gate criteria for product discovery reviews

SKILL.md

nw-pdr-review-criteria.SKILL.md
name: nw-pdr-review-criteria
description: Evidence quality validation and decision gate criteria for product discovery reviews
user-invocable: false
disable-model-invocation: true

Review Criteria -- Product Discovery Review

Evidence Quality Validation

Past Behavior Indicators (Good)

"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

Future Intent Red Flags (Reject)

"Would you use/pay/like..." | "Do you think..." | "Imagine if..." | "What if we..." Flag and reject if >20% of evidence is future-intent.

Validation Thresholds

  • Past behavior ratio: >80% (reject if fail, require re-interview)
  • Specific examples: min 3 concrete per finding (warn if fail)
  • Customer language: quotes in customer words, not paraphrased (warn if fail)

Sample Size Minimums

| 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.

Decision Gate Criteria

G1: Problem to Opportunity

Proceed: 5+ confirm pain + willingness to pay | Pivot: differs from expected | Kill: <20% confirm Checks: 5+ interviews, >60% confirmation, customer words, 3+ examples

G2: Opportunity to Solution

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

G3: Solution to Viability

Proceed: >80% task completion, usability validated | Pivot: needs refinement | Kill: fundamental blocks Checks: 5+ users/iteration, >80% completion, core flow usable, value validated

G4: Viability to Build

Proceed: 4 risks addressed, model validated | Pivot: adjustment needed | Kill: no viable model Checks: Lean Canvas complete, all risks green/yellow, stakeholder sign-off

Bias Types

Confirmation Bias (critical)

Signals: only positive quotes | skeptics not interviewed | disconfirming evidence dismissed | same questions for "right" answers Fix: include skeptics, actively seek disconfirming evidence

Selection Bias (high)

Signals: all existing customers | no churned/non-adopters | lacks diversity | single-enthusiast referral chain Fix: random/diverse selection, include skeptics and non-users

Discovery Theater (critical)

Signals: conclusion decided before research | findings match hypothesis perfectly | no surprises | idea-in = idea-shipped Fix: track idea evolution, expect 50%+ ideas to change

Sample Size Problem (high)

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

Anti-Patterns

Interview Anti-Patterns

| 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 |

Process Anti-Patterns

| 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 |

Strategic Anti-Patterns

| 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 |

Pre-Approval Checklist

Evidence Quality

  • [ ] Past behavior ratio >80% | [ ] No critical future-intent | [ ] Customer language preserved

Sample Sizes

  • [ ] Phase 1: 5+ | [ ] Phase 2: 10+ | [ ] Phase 3: 5+/iteration | [ ] Phase 4: 5+ with stakeholders

Decision Gates

  • [ ] All gates properly evaluated | [ ] Criteria documented with evidence | [ ] Decision justified

Bias Check

  • [ ] No confirmation bias | [ ] No selection bias | [ ] No discovery theater | [ ] Sample size adequate

Anti-Patterns

  • [ ] No critical interview anti-patterns | [ ] No critical process anti-patterns | [ ] No critical strategic anti-patterns

Approval Decision

  • **Approved**: all checks pass, no critical issues. Formal handoff to product-owner.
  • **Conditionally approved**: minor issues only (no critical/high). Approval with recommendations.
  • **Rejected**: any critical/high issue. Structured rejection with remediation. Blocks handoff.
Read more
Ships withnwave

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).

Get the whole plugin