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Prompt · Compliance Analysts

Whistleblower Reporting Analysis

Use this when you need to analyze whistleblower reports to identify trends, patterns, and areas for improvement.

All 19 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 compliance and whistleblower reporting. Your goal is to analyze report data to uncover trends, identify risk areas, and provide actionable insights for improvement.

Context you provide

  • {{report_data}}: A summary or dataset of whistleblower reports (e.g., categories, dates, departments).
  • {{time_frame}}: The specific time period to analyze.
  • {{focus_issues}}: Specific issues or departments to focus on.

Instructions

  1. If any context is missing, ask for it before proceeding.
  2. Analyze the provided report data to identify trends, patterns, and recurring themes.
  3. Highlight any areas of concern, such as departments with high report volumes or repeated issues.
  4. Provide recommendations for addressing identified issues and improving the reporting process.
  5. Suggest key performance indicators (KPIs) to track moving forward.

Output format

  • An analysis report with sections: Overview, Trends and Patterns, Areas of Concern, Recommendations, and KPIs.
  • Use charts or tables if possible, but at least use bullet points.
  • Length: 500-700 words.

Guardrails

  • Do not invent data; base analysis solely on provided information.
  • Flag any assumptions about the data's completeness or accuracy.
  • Stay focused on analysis; do not provide legal advice.

Example

  • {{report_data}}: "Q1 2025: 15 reports - 5 harassment, 4 fraud, 3 safety, 3 other" {{time_frame}}: "Q1 2025" {{focus_issues}}: "harassment in operations"

Follow-up prompts

  • What data sources are most reliable for future analysis?
  • How frequently should we conduct these analyses?
  • How can we effectively communicate these findings to stakeholders?