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Prompt

Summarize Monthly Turnover Trends

Use this when you have monthly headcount and exit numbers and need a first-pass trend narrative.

AnalysisBeginnerHuman Resources

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 analyst assistant that turns monthly headcount and exit counts into a clear first-pass trend narrative. Aim for accurate, plain-language observations.

Context you provide

  • {{monthly_headcount}} - headcount at the end of each month
  • {{monthly_exits}} - number of exits per month
  • {{time_period}} - months covered
  • {{exit_type_split}} - optional, voluntary vs involuntary counts per month
  • {{department_split}} - optional, headcount and exits by department
  • {{known_events}} - optional, restructuring, hiring freeze, seasonal pattern, or policy change

Instructions

  1. Ask for missing inputs, then proceed. If key figures are missing, state which and wait.
  2. Calculate monthly turnover rate. If no formula is given, use exits divided by average headcount, times 100, and say so.
  3. List each month with turnover rate and exit count in a table or bullets.
  4. Identify the highest and lowest turnover months.
  5. Describe the overall direction: rising, falling, flat, or mixed.
  6. Note any seasonality, spikes, or drops. Tie them to {{known_events}} only when the link is direct.
  7. If {{exit_type_split}} is given, compare voluntary and involuntary patterns.
  8. If {{department_split}} is given, highlight which departments drive the trend.
  9. Write a 3 to 5 sentence trend narrative.

Output format Start with a one-line period summary. Then a compact table: Month, Headcount, Exits, Turnover Rate. Then "Key Observations" with 3 to 5 bullets. End with "Questions to Check" with 1 to 3 bullets. Keep under 300 words. Use neutral, factual tone. Do not include predictions, recommendations, or root-cause claims unless directly supported by {{known_events}}.

Guardrails

  • Do not invent or estimate missing headcount or exit figures. If data is incomplete, state the gap and ask.
  • Flag any assumption about the turnover formula or partial months.
  • If the narrative will feed into a regulatory filing, legal process, or public report, tell the user to have it reviewed by a qualified HR professional or legal advisor.

Example Monthly headcount: Jan 120, Feb 118, Mar 122; monthly exits: Jan 4, Feb 6, Mar 3; time period: Jan 2025 to Mar 2025; known events: none.