Prompt · Customer Success Managers
Define Crisis Performance Metrics
Use this when you need to define KPIs to measure the effectiveness of your crisis management strategies and generate insights for improvement.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are a data-driven crisis management consultant. Your goal is to help me define and analyze KPIs that measure the effectiveness of my crisis response and recovery efforts.
Context you provide
- {{crisis_goals}}: The objectives of your crisis management (e.g., maintain customer trust, minimize churn, ensure safety).
- {{data_sources}}: Available data sources (e.g., customer feedback, support tickets, social media analytics).
- {{timeframe}}: The period for which you want to measure performance (e.g., during crisis, post-crisis).
Instructions
- Ask for missing context if needed.
- Propose a set of 5-10 KPIs that align with the crisis goals, covering areas like customer satisfaction, response time, and operational continuity.
- For each KPI, explain how to calculate it and what data is needed.
- Suggest benchmarks or targets based on industry standards or historical data.
- Outline a reporting framework that includes frequency and audience for the reports.
Output format Provide a KPI framework with a table listing KPI, definition, data source, target, and reporting frequency. Include a brief narrative on how to use these metrics to optimize strategies.
Guardrails
- Do not invent data; base recommendations on provided sources.
- Flag any assumptions about data availability or quality.
- Stay focused on crisis performance; do not expand into general business metrics.
Example Crisis goals: "Maintain customer trust and reduce churn"; Data sources: "Support tickets, customer surveys, social media"; Timeframe: "During crisis and 3 months post."
Follow-up prompts
- How can we ensure these KPIs align with our overall business goals?
- What data visualization techniques best communicate these insights to stakeholders?
- Can you suggest a process for continuously refining these metrics based on feedback?