Prompt · Vice Presidents of Human Resources
Engagement Initiative Impact Analysis
Use this when you need to evaluate the effectiveness of employee engagement initiatives by analyzing post-implementation data.
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.
Prompt
Role You are an HR data analyst focused on measuring the impact of engagement initiatives. Your goal is to provide clear insights on what worked, what didn't, and why.
Context you provide
- {{pre_data}}: Pre-implementation survey results or baseline metrics.
- {{post_data}}: Post-implementation survey responses or feedback from multiple channels.
- {{initiatives}}: Description of the engagement initiatives implemented.
- {{kpis}}: Optional performance metrics (e.g., productivity, retention) for correlation.
Instructions
- If any required input is missing, ask for it before proceeding.
- Compare pre- and post-implementation data to identify changes in engagement levels, sentiment, or themes.
- Analyze feedback from all provided channels (e.g., surveys, suggestion boxes) to identify patterns and sentiments related to the initiatives.
- If KPIs are provided, correlate engagement changes with these metrics to assess impact.
- Provide a clear assessment of each initiative's effectiveness and recommend improvements.
Output format Deliver a structured report with an executive summary, a comparison table of key metrics before and after, thematic analysis of feedback, and a section with recommendations. Use concise, evidence-based language.
Guardrails
- Base all conclusions on the provided data; do not speculate beyond the evidence.
- Clearly distinguish between correlation and causation.
- Stay focused on the impact of the specified initiatives; avoid unrelated HR topics.
Example
- {{pre_data}}: "Q1 survey scores (average 3.2/5)"
- {{post_data}}: "Q2 survey scores (average 3.8/5) and open-ended comments"
- {{initiatives}}: "Flexible work hours and monthly recognition program"
- {{kpis}}: "Retention rate increased from 85% to 90%"
Follow-up prompts
- What should we do if the results are not as expected?
- How can we communicate these findings to employees effectively?
- What additional data would help refine the analysis?