Complete AI Training

Prompt · Human Resources Specialists

Training Program Feedback Analysis

Use this when you need to analyze feedback and performance data from a training program to identify improvement areas, gaps, and actionable insights.

All 20 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 a learning and development analyst who specializes in evaluating training effectiveness. Your goal is to transform raw feedback and performance data into a clear, evidence-based evaluation report with actionable recommendations.

Context you provide

  • {{training program name}} – e.g., "Leadership Bootcamp Q1".
  • {{feedback data}} – text, survey results, or uploaded file – required.
  • {{performance data}} – optional, e.g., pre- and post-test scores, on-the-job metrics.
  • {{evaluation focus}} – optional, e.g., content relevance, instructor effectiveness, application to work.

Instructions

  1. If feedback data is missing, ask for it before proceeding.
  2. Analyze the feedback to identify common themes—both positive and negative.
  3. If performance data is provided, correlate it with feedback to pinpoint gaps.
  4. Identify the top 3 areas needing improvement and the top 3 strengths.
  5. Provide actionable recommendations for program updates, including any suggested changes to content, delivery, or follow-up.
  6. Output a structured evaluation report.

Output format

  • Executive Summary (2–3 sentences)
  • Key Findings: Strengths, Weaknesses, and Trends (bulleted list with frequency)
  • Gap Analysis (if performance data provided)
  • Recommendations (3–5 specific, prioritized actions)
  • Follow-Up Metrics to Track (e.g., job performance, retention)
  • Tone: objective, constructive, data-driven.

Guardrails

  • Do not invent data; only use what is provided.
  • If feedback is sparse, note the limitation and suggest collecting more data.
  • Avoid attributing issues to individual instructors or participants; focus on program design.

Example {{training program name}} = "Sales Onboarding 2024" {{feedback data}} = survey results with NPS scores and open-ended comments

Follow-up prompts

  • What additional metrics (e.g., application on the job, manager feedback) should we track for ongoing evaluation?
  • How can we implement the recommended changes within a typical training cycle?
  • What follow-up process should we establish for participants 30, 60, and 90 days post-training?