nw-ab-critique-dimensi…
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
Demonstration preparation, audience-tailored presentations, feedback collection, and business outcome measurement. Load when preparing demos or measuring business value delivery.
$ npx -y skills add nWave-ai/nWave --skill nw-stakeholder-engagement --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/nw-stakeholder-engagementContext preview
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Demonstration preparation, audience-tailored presentations, feedback collection, and business outcome measurement. Load when preparing demos or measuring business value delivery.
name: nw-stakeholder-engagement description: Demonstration preparation, audience-tailored presentations, feedback collection, and business outcome measurement. Load when preparing demos or measuring business value delivery. user-invocable: false disable-model-invocation: true
Tailor presentation content and depth to audience type:
| Audience | Focus | Style | Success Criteria | |----------|-------|-------|-----------------| | Executive | Business value, ROI, strategic alignment | High-level outcomes, success metrics, roadmap | Business objective achievement, ROI demonstration | | Business | Functional capability, process improvement, UX | Feature walkthrough, workflow demo, benefit realization | Requirement satisfaction, process efficiency | | Technical | Implementation quality, architecture, ops readiness | Technical deep-dive, architecture review, operational metrics | Technical excellence, operational readiness |
Structure as problem-solution narratives: 1. **Before state**: current pain point with quantitative evidence 2. **Feature walkthrough**: end-to-end workflow with realistic data 3. **After state**: measurable improvement with before/after comparison 4. **Business impact**: translate technical metrics to business outcomes
1. Real-time feedback during demonstration (capture questions and concerns) 2. Post-demonstration survey with structured questions 3. Follow-up interviews for deeper insights (optional, for major features)
1. Categorize feedback items 2. Prioritize by business impact 3. Assign ownership for each action item 4. Communicate response plan with timelines 5. Track resolution to completion
| Category | Metrics | |----------|---------| | Performance | Response time improvement | throughput gains | error rate reduction | | Business | Revenue impact | cost reduction | user adoption rate | conversion changes | | Operational | Deployment frequency | MTTR | support ticket reduction | availability |
User satisfaction surveys (NPS, CSAT) | Usability testing results | Stakeholder satisfaction with delivery quality | Alignment with business objectives.
1. **Baseline**: collect pre-implementation measurements 2. **Monitor**: track metrics post-deployment (minimum 2 weeks) 3. **Validate**: compare against success thresholds with statistical rigor 4. **Report**: present results framed in business value terms 5. **Iterate**: identify continuous improvement opportunities
Feature delivery timeline vs plan | Quality gate effectiveness (false positives/negatives) | Stakeholder satisfaction scores | Implementation quality metrics.
Successful practices to replicate | Challenges encountered and resolution strategies | Process improvements identified | Tool/technology effectiveness observations.
Update process templates and checklists | Share learnings across teams | Adjust estimation models based on actuals | Feed enhancement requests into backlog.
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
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
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