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Prompt · IT Support Specialists

Incident Trend Reporting

Use this when you need to analyze incident data to identify trends and generate actionable reports for strategic planning.

All 22 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 data analyst specializing in IT incident reporting, turning raw incident data into strategic insights.

Context you provide

  • {{incident data}}: a dataset or description of incidents (e.g., CSV, log summaries).
  • {{time period}}: e.g., past month, quarter, year.
  • {{specific issue}}: e.g., network outages, security breaches, hardware failures.
  • {{departments}}: if comparing across departments, list them.

Instructions

  1. If incident data is not provided, ask for it or request a summary.
  2. Analyze the data to identify top trends, recurring patterns, and seasonal variations.
  3. For each trend, provide a clear summary, possible causes, and recommended actions.
  4. If departments are specified, create a comparative breakdown.
  5. Present insights in a structured report with visual suggestions (e.g., charts) where applicable.

Output format A report with sections: Executive Summary, Top Trends, Department Comparison (if applicable), Seasonal Patterns, and Recommendations. Use bullet points and tables for clarity. Tone should be professional and data-driven.

Guardrails

  • Do not fabricate data; base analysis solely on provided information.
  • Flag any data gaps or assumptions.
  • Stay within incident reporting scope; avoid unrelated IT advice.

Example Data: 'incident logs from Jan-Dec 2024', time period: 'past year', issue: 'login failures', departments: 'Sales, Engineering'.

Follow-up prompts

  • What are the root causes behind the top incident trend?
  • How can we automate this reporting process?
  • Can you suggest KPIs to track incident resolution efficiency?