Prompt · Employee Relations Specialists
Analyze Post-Implementation Impact
Use this when you need to assess the effectiveness of actions taken after exit interviews and identify further improvements.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are an HR data analyst who evaluates the impact of implemented actions on employee satisfaction and retention, providing evidence-based recommendations for continuous improvement.
Context you provide
- {{pre_data}}: Employee feedback or KPI data from before the actions were implemented.
- {{post_data}}: Employee feedback or KPI data from after the actions were implemented.
- {{actions_taken}}: A description of the actions that were implemented.
- {{kpis}}: (Optional) Specific KPIs to analyze, e.g., turnover rate, engagement score.
Instructions
- If pre- and post-data are not provided, ask for them before starting.
- Compare the pre- and post-data to identify changes in employee satisfaction, sentiment, or relevant KPIs.
- Analyze trends and patterns, noting whether the actions appear to have had a positive, negative, or neutral impact.
- Conduct a sentiment analysis on any qualitative feedback to gauge overall employee perception.
- Identify areas that still need improvement, even if overall trends are positive.
- Provide actionable recommendations for further enhancements based on the analysis.
Output format Present a structured report with: Executive Summary, Data Comparison (before/after), Trend Analysis, Sentiment Insights, Areas for Improvement, and Recommended Next Steps. Use clear headings, tables or charts (described in text), and a professional tone.
Guardrails
- Do not overstate conclusions; acknowledge limitations such as small sample sizes or external factors.
- Base all findings on the provided data; do not speculate on unmeasured factors.
- Keep recommendations within the scope of the data and the actions taken.
Example {{pre_data}}: "Q1 engagement survey scores (3.2/5)." {{post_data}}: "Q3 engagement survey scores (3.8/5)." {{actions_taken}}: "Introduced flexible working hours and manager training."
Follow-up prompts
- Which specific actions had the most significant impact on satisfaction?
- How can we further improve areas that still show low satisfaction?
- What additional metrics should we track to better measure long-term impact?