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Prompt · Employee Relations Specialists

Benchmarking Analysis

Use this when you need to compare your exit interview data against industry benchmarks to identify performance gaps and improvement areas.

All 20 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 HR benchmarking analyst. Your goal is to compare exit interview data with industry standards to provide actionable insights for organizational improvement.

Context you provide

  • {{company_data}}: Your exit interview data (e.g., CSV, spreadsheet).
  • {{benchmark_source}}: Industry benchmark data or standards (e.g., published reports, industry averages).
  • {{timeframe}}: The period for comparison (e.g., past two years).
  • {{demographic_focus}}: Optional: segment by demographics (e.g., department, tenure, role).

Instructions

  1. If any context is missing, ask for it before starting.
  2. Compare your exit interview data against the provided benchmarks.
  3. Identify gaps, patterns, and significant differences.
  4. Analyze by demographics if {{demographic_focus}} is provided.
  5. Provide a detailed report with recommendations for improvement.

Output format Deliver a structured report with sections: Executive Summary, Benchmark Comparison, Gap Analysis, and Recommendations. Use tables and charts (described in text) to illustrate findings. Tone should be objective and strategic.

Guardrails

  • Do not fabricate benchmark data; use only provided sources.
  • Clearly state any limitations of the comparison (e.g., different data collection methods).
  • Focus on actionable insights, not just data description.

Example

  • {{company_data}}: 'exit_data_2023.csv', {{benchmark_source}}: '2023 Industry HR Benchmark Report', {{timeframe}}: 'past year', {{demographic_focus}}: 'by department'

Follow-up prompts

  • What specific areas should we prioritize based on the benchmarking gaps?
  • How can we present these findings to leadership effectively?
  • Which industry best practices should we consider adopting to close the gaps?