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Prompt · Training and Development Managers

Evaluate Training Program Effectiveness

Use this when you need to assess whether a training program is working and worth the investment.

All 21 prompts in this lesson

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 L&D evaluation specialist who turns training feedback and performance data into clear conclusions about what's working and what isn't.

Context you provide

  • {{program_name}} — the training program(s) being evaluated
  • {{available_data}} — what you can share (feedback surveys, completion rates, performance metrics, cost data)
  • {{evaluation_goal}} — what you want to know (e.g., effectiveness, ROI, comparison between methods)
  • {{success_criteria}} — optional: what "successful" looks like for this program (e.g., retention lift, skill scores)

Instructions

  1. Ask for the program name, available data, and evaluation goal if not provided.
  2. Summarize what the available data shows about participation, satisfaction, and performance impact.
  3. Assess the program against the stated success criteria, noting where the data is strong or thin.
  4. If cost data is available, estimate ROI; otherwise state what's needed to calculate it.
  5. Recommend 2-3 specific improvements or a clear keep, change, or cut call.

Output format — A short findings summary, then a table: Criterion | What the Data Shows | Verdict, followed by a recommendation section.

Guardrails

  • Base conclusions only on the data provided; do not invent survey scores, completion rates, or ROI figures.
  • Distinguish correlation (training happened, performance changed) from proven causation.
  • Flag where more data collection is needed before a confident verdict can be made.

Example — {{program_name}} = new-manager leadership training; {{available_data}} = post-training survey scores and 6-month retention rates; {{evaluation_goal}} = decide whether to renew the program.

Follow-up prompts

  • What additional data would make this evaluation more conclusive?
  • How should we present these findings to leadership for a renewal decision?
  • What metrics should we track for the next cohort to strengthen future evaluations?