Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
日本語の概要は準備中です。原文の説明を表示しています。
Build a phased reputation recovery plan after a crisis — from damage assessment through stakeholder communication, trust-rebuilding actions, and sentiment tracking. Use when: rebuilding brand reputation post-crisis, designing a public apology and accountability strategy, creating stakeholder-specific recovery communications, tracking sentiment recovery metrics, planning a PR damage-control roadmap, or recovering from a data breach, product recall, or public backlash.
日本語の概要は準備中です。原文の説明を表示しています。
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Build a phased reputation recovery plan after a crisis — from damage assessment through stakeholder communication, trust-rebuilding actions, and sentiment tracking.
| Aspect | Details |
|---|---|
| Source | Edelman Trust Barometer, Burson reputation recovery frameworks |
| Core Principle | Trust rebuilds through actions, not words — transparency, accountability, competence, then character, in that order |
| Recovery Phases | Stabilize → Acknowledge → Act → Communicate → Measure |
| Claude Does | You Decide |
|---|---|
| Designs phased recovery roadmap with timelines | Investment level and resource allocation |
| Drafts stakeholder communications and apology frameworks | Spokesperson selection and timing |
| Creates measurement dashboards and recovery criteria | Acceptable recovery timeline |
| Prioritizes stakeholder groups and actions | Which initiatives to fund |
Build a damage baseline across key dimensions:
| Dimension | Pre-Crisis | Post-Crisis | Gap |
|---|---|---|---|
| Trust score | — | — | — |
| NPS | — | — | — |
| Brand sentiment (% positive) | — | — | — |
| Media tone | — | — | — |
| Customer retention | — | — | — |
Validation checkpoint: If you lack pre-crisis baselines, estimate from industry benchmarks before proceeding.
| Phase | Duration | Focus | Exit Criteria |
|---|---|---|---|
| Stabilize | Weeks 1-2 | Stop the bleeding, full accountability | Crisis chapter closed, compensation launched |
| Rebuild | Months 1-3 | Demonstrate concrete structural changes | New processes in place, advisory board active |
| Demonstrate | Months 3-6 | Build track record, earn positive coverage | 3 months positive media, trust at 80% baseline |
| Sustain | Month 6+ | Long-term reputation building | Meet all recovery completion criteria |
| Stakeholder | Priority | Key Concern | Approach |
|---|---|---|---|
| Customers | P1 | Trust, safety | Transparency + compensation |
| Employees | P1 | Job security, pride | Internal comms + involvement |
| Investors | P2 | Financial impact | Recovery plan + milestones |
| Partners | P2 | Association risk | Assurance + collaboration |
| Regulators | P2 | Compliance | Cooperation + prevention |
| Public | P3 | Values alignment | Actions over words |
Apply the trust-rebuilding sequence (order matters):
| Action Type | Examples | Timeline |
|---|---|---|
| Transparency | Full incident report, public updates, data access | Immediate |
| Accountability | CEO apology, personnel changes, compensation | Week 1-2 |
| Competence | New processes, third-party audits, team expansion | Month 1-3 |
| Character | Values-aligned initiatives, sustained behavior change | Ongoing |
CEO apology framework: Direct acknowledgment → What went wrong → What we've done → What we're doing → Personal accountability → How to reach us.
| Metric | Frequency | Target |
|---|---|---|
| Brand sentiment | Weekly | Return to baseline |
| Trust score | Monthly | 80% of pre-crisis |
| NPS | Monthly | Return to positive |
| Media tone | Weekly | Neutral → positive |
| Customer retention | Monthly | Pre-crisis rate |
Recovery completion criteria:
Input: Product safety incident, 3 weeks in crisis mode, 30% trust drop, 15% churn, issue resolved.
Recovery roadmap:
| Month | Phase | Key Actions |
|---|---|---|
| 1 | Stabilize | CEO video apology, full incident report, compensation program, employee town hall |
| 1-3 | Rebuild | Safety team +3 hires, external advisory board, quarterly third-party audits |
| 3-6 | Demonstrate | Public safety reports, customer testimonials, thought leadership content |
| 6+ | Sustain | Ongoing transparency reports, industry standards participation |
Projected timeline: 6-9 months to full recovery with aggressive action.
See TEMPLATES.md for communication templates (CEO apology script, milestone update emails, stakeholder briefing outlines).
crisis-detector — Prevention and early warningresponse-coordinator — During active crisissocial-listening — Monitoring recovery sentimentまだレビューはありません。使ってみた感想をお寄せください。
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Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
日本語の概要は準備中です。原文の説明を表示しています。
Calculate A/B test statistical significance. Use when: determining if test results are significant; calculating required sample size; estimating test duration; analyzing conversion experiments; making data-driven decisions
日本語の概要は準備中です。原文の説明を表示しています。
Assess customer account health using product usage, support sentiment, payment status, and relationship signals
日本語の概要は準備中です。原文の説明を表示しています。
Analyze paid advertising performance across channels and recommend budget reallocation to maximize ROAS and minimize CAC. Use when: planning quarterly ad budget allocation, diagnosing underperforming ad channels, deciding whether to scale spend on a channel, calculating marginal ROI across Google Ads, Meta, LinkedIn, or TikTok, rebalancing media mix after performance shifts, or setting up a test-and-scale framework for new channels.
日本語の概要は準備中です。原文の説明を表示しています。
Use when testing skills, commands, or agents for quality. Use after creating new skills, before deploying agents, or when debugging inconsistent agent behavior. Triggers on "evaluate", "test quality", "is this skill working", or QA of AI workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Use when analyzing server logs to understand how AI crawlers (GPTBot, ClaudeBot, PerplexityBot) interact with your site. Use when optimizing content placement for LLM retrieval, diagnosing why AI search isn't citing your content, or auditing crawl patterns to find optimization gaps.
日本語の概要は準備中です。原文の説明を表示しています。