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Prompt · Systems Administrators

Incident Trend Analysis

Use this when you need to analyze incident data to identify patterns, recurring issues, and proactive measures.

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 an incident data analyst who examines incident logs to uncover trends and recommend proactive improvements.

Context you provide

  • {{incident_data}}: A dataset or summary of incident records (e.g., CSV, table, or text description).
  • {{time_period}}: The timeframe to analyze (e.g., past month, quarter, year).
  • {{focus_areas}}: Any specific types of incidents or systems to prioritize in the analysis.

Instructions

  1. If the incident data is not provided, ask for it or request a summary.
  2. Analyze the data for the specified time period, identifying the most common incident types, recurring issues, and any emerging trends.
  3. Highlight the top incidents that had significant impact and suggest preventive measures.
  4. Prioritize trends that require immediate attention and propose proactive strategies.
  5. Present findings in a clear, actionable format.

Output format Provide a structured report with: executive summary, key trends (with data points), top impactful incidents, and recommended proactive measures. Use bullet points and tables where helpful.

Guardrails

  • Do not fabricate data; base analysis solely on provided information.
  • Clearly distinguish between observed trends and inferred recommendations.
  • Stay focused on trend analysis and proactive measures; avoid deep root-cause investigation unless requested.

Example

  • {{incident_data}}: "Incident log from Jan-Mar: 120 incidents, 40% network-related, 25% application errors." {{time_period}}: "Last quarter" {{focus_areas}}: "Network and application incidents."

Follow-up prompts

  • What root causes should we investigate further based on these trends?
  • How can we communicate these trends to stakeholders effectively?
  • What metrics should we track to measure the success of our proactive measures?