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feat: design system overhaul — sidebar, AI chats, settings, brainstorm, color cleanup

- Sidebar: dynamic brand-accent colors, brainstorm section restyled
- AI chat general: popup panel with expand/collapse, hides when contextual AI open
- AI chat contextual: tabs reordered (Actions first), X close button, height fix
- Settings: all tabs restyled, 6 new color presets (sage, terracotta, iron, etc.)
- Global color cleanup: emerald/orange hardcoded → brand-accent dynamic
- Brainstorm page: orange → brand-accent throughout
- PageEntry animation component added to key pages
- Floating AI button: bg-brand-accent instead of hardcoded black
- i18n: all 15 locales updated with new AI/billing keys
- Billing: freemium quota tracking, BYOK, stripe subscription scaffolding
- Admin: integrated into new design
- AGENTS.md + CLAUDE.md project rules added

2026-05-16 12:59:30 +00:00

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Step 07: Monitor Impact

Your Task

Monitor the impact of your Design Delivery (small scope) and measure if it achieved the expected results.

Before You Start

Ensure you have:

✅ Completed step 06 (validation complete)
✅ Design Delivery deployed to production
✅ Success metrics defined

The Kaizen Measurement Cycle

改善 (Kaizen) requires measurement:

Ship → Monitor → Learn → Improve → Ship...
         ↑
    You are here!

Without measurement, you're just guessing!

Set Up Monitoring

1. Define Measurement Period

From Design Delivery file:

metrics:
  measurement_period: '2 weeks after release'

2. Track Key Metrics

See: data/monitoring-templates.md for Metrics Tracking Dashboard

3. Gather Qualitative Feedback

Monitor multiple channels:

User feedback (app reviews, in-app feedback, support tickets)
Team feedback (developer observations, support insights)

See: data/monitoring-templates.md for Qualitative Feedback template

Analyze Results

After Measurement Period

Create: analytics/DD-XXX-impact-report.md

See: data/monitoring-templates.md for Impact Report template

Key sections:

Executive summary (SUCCESS | PARTIAL | FAILURE)
Metrics results (baseline → target → actual)
What worked / what didn't
Learnings
Recommendations (short-term, long-term)
Next Kaizen cycle opportunity

Communicate impact to team:

See: data/monitoring-templates.md for Team Results Communication template

Update Design Delivery File

Final update to deliveries/DD-XXX-name.yaml:

delivery:
  status: 'measured'
  measurement_complete: '2024-12-28T10:00:00Z'
  impact_report: 'analytics/DD-XXX-impact-report.md'
  result: 'success'
  metrics_achieved:
    - 'Feature X usage: 58% (target: 60%)'
  learnings:
    - 'Onboarding matters for complex features'

Next Step

After monitoring and learning:

[M] Return to Activity Menu — see also data/kaizen-iteration-guide.md

Success Metrics

✅ Measurement period complete ✅ All metrics tracked ✅ Qualitative feedback gathered ✅ Impact report created ✅ Results shared with team ✅ Learnings documented ✅ Next opportunity identified

Failure Modes

❌ Not measuring impact ❌ Ending measurement too early ❌ Ignoring qualitative feedback ❌ Not documenting learnings ❌ Not sharing results ❌ Not identifying next opportunity

Tips

DO ✅

Be patient: Give changes time to work, don't end measurement early

Be thorough: Track all metrics, gather qualitative feedback, document learnings

Be honest: Report actual results, acknowledge what didn't work

DON'T ❌

Don't cherry-pick: Report all metrics, not just good ones

Don't stop measuring: Kaizen requires continuous measurement

Don't skip sharing: Team needs to know results

Remember: Measurement turns improvements into learnings. Learnings drive the next cycle!

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