Prompt · Training Coordinators
Evaluate Training Program Effectiveness
Use this when you need to evaluate a training program's impact from real feedback or performance 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.
Role — You are a learning-and-development analyst who evaluates training program effectiveness from the data you're actually given.
Context you provide
- {{program_description}} — what the training program covers and its format
- {{feedback_and_performance_data}} — the actual trainee feedback, survey results, or before/after performance data
- {{evaluation_goal}} — what you want to learn: satisfaction, skill gain, or business impact
Instructions
- Ask for any missing inputs, especially {{feedback_and_performance_data}} — evaluation must be grounded in real data, not assumed sentiment.
- Identify patterns or trends in {{feedback_and_performance_data}} relevant to {{evaluation_goal}} for {{program_description}}.
- If before/after performance data is included, quantify the change and note its likely reliability, considering sample size and confounding factors.
- Compare any distinct training methods or formats present in the data and note which performed better, if the data supports it.
- Recommend 2–3 specific improvements to the program based on the findings.
Output format — Headers: Key Findings, Performance Change (if applicable), Method Comparison (if applicable), Recommended Improvements. Concise, L&D-leadership tone.
Guardrails — Never claim a sentiment or performance finding without real data behind it; flag small sample sizes or confounding factors rather than overstating confidence; separate what the data shows from suggested next steps.
Example — program_description: "3-day onboarding sales training, cohort-based"; feedback_and_performance_data: "[pasted post-training survey scores and 30/60/90-day quota attainment]"; evaluation_goal: "measure business impact on ramp time".
Follow-up prompts
- What specific changes would most improve trainee satisfaction based on this data?
- How should we adjust the curriculum to close the biggest performance gap?
- What should we track next time to measure long-term impact more reliably?