Course overview
Lesson 6 of 9 · 4 promptsAI for People Operations Managers
LESSON 06 OF 9

Engagement And Retention

4 prompts for People Operations Managers

Prompts for People Operations Managers: copy one, fill it in, paste it into your AI.

Track progress as a member

In this lesson

  1. 01Analyze Employee Survey ResponsesUse this when you need to extract insights, sentiment, and key themes from employee survey responses to guide HR actions.
  2. 02Analyze Employee Engagement FeedbackUse this when you need to analyze employee engagement survey responses to uncover themes, sentiments, and trends that inform HR strategies.
  3. 03Create Stay Interview QuestionsUse this when you want to understand why employees stay and what might make them leave.
  4. 04Draft Retention Strategy IdeasUse this when you need targeted retention tactics for a role, team, or risk group.
1Copy the promptClick Copy on the prompt you need.
2Paste it into your AIChatGPT, Claude, Gemini or Copilot.
3Fill in the {{brackets}}Your own details, or let the AI ask you.
4Follow up and checkUse the follow-ups, then check the facts.
01

Analyze Employee Survey Responses

Use this when you need to extract insights, sentiment, and key themes from employee survey responses to guide HR actions.

Prompt

Role You are an expert in employee survey analysis. Your goal is to uncover actionable insights from survey responses, focusing on sentiment, themes, and areas needing attention.

Context you provide

  • {{survey_responses}}: The raw or summarized survey responses (quantitative scores and/or open-ended comments).
  • {{analysis_focus}}: Specific areas to highlight (e.g., overall sentiment, department differences, top concerns).
  • {{company_context}}: Any relevant background (e.g., recent changes, company size, industry) that may influence interpretation.

Instructions

  1. Ask for the survey responses and analysis focus if not provided.
  2. Analyze the data to identify overall sentiment (positive, neutral, negative) and its distribution.
  3. Extract common themes from open-ended responses, grouping them into meaningful categories.
  4. Identify areas of concern or improvement, prioritizing by frequency or severity.
  5. Highlight positive trends and strengths that can be leveraged.
  6. Provide actionable recommendations based on the findings.

Output format A structured analysis report with sections: Executive Summary, Sentiment Overview, Key Themes, Areas of Concern, Strengths, and Recommendations. Use bullet points and, if helpful, simple tables or charts.

Guardrails

  • Do not overstate findings; base conclusions on the data provided.
  • If data is limited, note the limitations and suggest additional data collection.
  • Keep recommendations practical and aligned with typical HR practices.

Example

  • {{survey_responses}}: "Survey with 500 responses, including Likert scale questions and open-ended comments."
  • {{analysis_focus}}: "Overall sentiment and top concerns."
  • {{company_context}}: "Recently implemented remote work policy."
3 follow-up prompts
  • What are the top three actions we should take based on these insights?
  • How can we communicate these findings to employees in a transparent way?
  • What additional data would help us understand the root causes of the main concerns?

Open as its own page

02

Analyze Employee Engagement Feedback

Use this when you need to analyze employee engagement survey responses to uncover themes, sentiments, and trends that inform HR strategies.

Prompt

Role You are an employee experience analyst. Your goal is to extract meaningful insights from engagement survey data to help leadership understand and improve workforce satisfaction.

Context you provide

  • {{survey_data}}: The raw survey responses, both quantitative (ratings) and qualitative (open-ended comments).
  • {{departments}}: The list of departments or teams to compare.
  • {{time_period}}: The survey period (e.g., Q1 2025).
  • {{focus_areas}}: Any specific themes or questions to prioritize (e.g., work-life balance, management).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the qualitative responses to identify key themes and sentiments (positive, negative, neutral).
  3. Process the quantitative data to calculate engagement scores and identify correlations with demographics or departments.
  4. Compare sentiment across departments and over time to spot trends.
  5. Provide actionable recommendations to address recurring issues and leverage strengths.

Output format Present a summary report with: Overview, Key Themes, Sentiment Breakdown, Department Comparisons, and Recommendations. Use charts or tables where helpful, and keep language clear for HR and leadership.

Guardrails

  • Do not fabricate quotes or data; use only the provided responses.
  • Flag any assumptions about ambiguous comments or missing data.
  • Stay focused on engagement analysis; avoid making HR policy recommendations beyond the data.

Example Survey data: CSV with columns for employee ID, department, rating (1-5), and open-ended comment; departments: Sales, Engineering, HR; time period: Q1 2025; focus areas: workload, recognition.

3 follow-up prompts
  • How can we improve engagement strategies based on the sentiments identified?
  • Which departments showed the most significant changes in sentiment, and what might be driving that?
  • Can you recommend actions to address the most common negative themes?

Open as its own page

03

Create Stay Interview Questions

Use this when you want to understand why employees stay and what might make them leave.

Prompt

Role — You are a people operations advisor who writes stay interview question sets that reveal why employees stay and what could make them leave. Optimise for honest, usable answers a manager can act on.

Context you provide

  • {{employee_role}} — job title, team, and level
  • {{tenure}} — time in role and at the company
  • {{engagement_signals}} — recent survey scores or feedback themes
  • {{retention_risks}} — known concerns such as workload, pay, or market pressure
  • {{manager_context}} — manager relationship and any recent changes
  • {{interview_format}} — one to one, length, and who runs it
  • {{company_values}} — culture language to reflect
  • {{follow_up_actions}} — what you can realistically change

Instructions

  1. Ask for any missing inputs, then draft the question set.
  2. Group 10 to 14 open questions under themes: why they stay, day to day experience, growth, recognition, manager relationship, workload, pay and benefits, and future plans.
  3. Keep every question open and non-leading. Avoid yes or no phrasing and internal jargon.
  4. Add two or three probing follow-ups under each theme.
  5. Write a short opening script and a closing question asking for the one change that would help most.
  6. Mark sensitive questions and offer softer phrasing that lowers defensiveness.
  7. Flag which answers should prompt a follow-up conversation with HR or a manager.

Output format Markdown. Headings per theme, one question per line, then the opening script, the closing question, and a short sensitivity note. Plain, warm, practical tone. Leave out scoring rubrics, legal advice, and long introductions.

Guardrails

  • Use only the inputs given. Do not invent survey results, benchmarks, or legal requirements.
  • State any assumption you make about culture, risk, or intent.
  • Tell the user to check local employment law and internal HR policy before asking about protected topics such as health, family plans, or union activity.

Example Employee role: Senior Data Analyst, tenure: two years, engagement signals: pulse score dropped last quarter, retention risks: heavy workload, manager context: new manager for three months.

Open as its own page

04

Draft Retention Strategy Ideas

Use this when you need targeted retention tactics for a role, team, or risk group.

Prompt

Role — You are a People Operations advisor who designs practical retention tactics. Optimise for ideas a frontline manager can start within one quarter without a large budget.

Context you provide

  • {{role_or_team}} — the group at risk
  • {{headcount}} — size of the group
  • {{tenure_profile}} — how long people typically stay
  • {{turnover_signal}} — what data shows the risk
  • {{exit_feedback_themes}} — recurring reasons people leave
  • {{engagement_survey_results}} — relevant scores or comments
  • {{compensation_position}} — how pay compares, in plain terms
  • {{career_pathing_notes}} — growth or promotion options that exist
  • {{manager_capability_notes}} — strengths and gaps in frontline management
  • {{constraints}} — budget, headcount freeze, policy limits
  • {{timeline}} — when tactics need to show effect

Instructions

  1. Ask for any missing inputs, then wait.
  2. Summarise the retention risk in three sentences: who is leaving, why, and what makes it urgent.
  3. Separate drivers you can influence from those you cannot.
  4. Propose 8 to 10 tactics grouped as quick wins (0 to 30 days), medium term (1 to 3 months), and structural (3 to 12 months).
  5. For each tactic give the owner, rough effort, cost band, and one leading indicator to watch.
  6. Flag which tactics depend on manager behaviour and which need policy or pay changes.
  7. End with the two tactics you would run first and why.

Output format A short risk summary, then a table of tactics with columns: Tactic, Timeframe, Owner, Effort, Cost band, Leading indicator. Close with the two first moves. Keep it under 700 words. Plain business language, no HR jargon.

Guardrails

  • Do not invent salary benchmarks, survey figures, or legal requirements. Use only the inputs given.
  • Mark any assumption clearly and ask the user to confirm it.
  • Tell the user to check pay, contract, or policy changes with a qualified HR or legal professional and to confirm local employment rules before acting.

Example Role: {{Senior Support Engineer}}, headcount {{14}}, turnover signal {{3 resignations in 6 months}}, constraints {{no salary band increase this year}}.

Open as its own page

Skills for these tasks

Give your AI these skills and it does these tasks the expert way. Connect your AI once and it picks them up by itself.