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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.

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?