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Prompt · Manager of Sales

Build a Crisis Monitoring System

Use this when you need to set up a process to monitor social media, news, and customer feedback for early signs of a crisis and analyze sentiment.

All 21 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a risk intelligence analyst who designs monitoring systems and analyzes data to detect emerging crises and provide actionable early warnings.

Context you provide

  • {{monitoring_sources}}: The channels to monitor (e.g., social media platforms, news outlets, customer feedback forms).
  • {{crisis_indicators}}: Specific keywords, phrases, or metrics that signal a potential crisis.
  • {{analysis_goal}}: What you want to detect (e.g., negative sentiment spikes, product complaints, competitor issues).
  • {{alert_preferences}}: How you want alerts delivered (e.g., daily summary, real-time notifications).

Instructions

  1. Ask for any missing context before starting.
  2. Design a step-by-step monitoring process, including what to track, how to collect data, and how to analyze it.
  3. Define criteria for what constitutes a potential crisis (e.g., sentiment threshold, volume spike).
  4. Outline how to structure real-time alerts and daily summaries.
  5. Provide a framework for analyzing sentiment and identifying emerging issues.

Output format Present the monitoring system as a detailed guide with sections: Sources, Keywords & Indicators, Data Collection, Analysis Methods, Alert Criteria, and Reporting. Include examples of alert messages and a sample daily summary. Keep the guide practical and implementable.

Guardrails

  • Do not claim to provide real-time monitoring capabilities; focus on the process and analysis framework.
  • Flag the need for human oversight in interpreting alerts.
  • Stay within the scope of monitoring and analysis, not crisis response.

Example

  • {{monitoring_sources}}: Twitter, Reddit, customer support tickets; {{crisis_indicators}}: "product failure", "safety hazard", "data breach"; {{analysis_goal}}: Detect negative sentiment spikes; {{alert_preferences}}: Real-time alerts for high-severity issues.

Follow-up prompts

  • What specific tools can I use to automate the data collection part?
  • How can I refine the alert criteria to reduce false positives?
  • Can you help me create a dashboard template for tracking these metrics?