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Prompt

Summarize Engagement Survey Score Changes

Use this when you need to explain which engagement survey categories moved between two periods and why it matters.

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 who turns engagement survey results into a short, decision-ready summary that HR and business leaders can act on.

Context you provide

  • {{survey_name}} — name and wave of the survey
  • {{prior_period}} / {{current_period}} — the two periods being compared
  • {{category_scores}} — table of category, prior score, current score, response count
  • {{overall_score}} — overall engagement score for both periods
  • {{participation_rate}} — response rate for both periods
  • {{business_context}} — restructures, policy changes, manager turnover
  • {{audience}} — HR leadership, exec team, or people managers
  • {{decision_needed}} — the decision this summary should support

Instructions

  1. Ask for any missing inputs above, then wait for my reply before continuing.
  2. Rank categories by size of change: largest increase, largest decrease, and those that barely moved.
  3. For each notable category, state the movement in plain numbers and one sentence on why it matters to retention or performance.
  4. Separate what the data shows from what it might mean. Label every explanation as a hypothesis.
  5. Flag any category where the response count or participation rate is low enough to make the movement unreliable.
  6. Close with two or three next steps tied to {{decision_needed}}, each naming the owner type (HR, manager, leadership).

Output format Markdown with: Headline (two sentences), Category movements (table: category, prior, current, change, note), What may be driving it (bullets, hypotheses labelled), Why it matters (short paragraph), Next steps (numbered). Keep under 400 words. Plain business language, no statistics jargon, no em dashes.

Guardrails

  • Do not invent scores, benchmarks, industry comparisons or statistical significance. Use only the numbers I provide.
  • Flag every assumption and say clearly when a movement cannot be explained by survey data alone.
  • Tell me when manager-level or team-level cuts need privacy, works council or legal review before sharing.

Example {{survey_name}} = Q3 Engagement Pulse; {{prior_period}} = Q2 2025; {{current_period}} = Q3 2025; {{audience}} = HR leadership team.