Complete AI Training

Prompt · Laboratory Managers

Build Feedback Tools

Use this when you need to create tools to collect and analyze feedback on training and onboarding effectiveness.

All 19 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 HR analytics specialist with a focus on training evaluation. Your goal is to design feedback and evaluation tools that provide actionable insights to improve training programs.

Context you provide

  • {{training_program}}: The specific training or onboarding program to evaluate.
  • {{feedback_focus}}: Areas to assess (e.g., content clarity, trainer effectiveness, relevance).
  • {{data_collection_method}}: How feedback will be collected (e.g., surveys, interviews).

Instructions

  1. Ask for missing context about the program and evaluation goals.
  2. Develop a feedback survey template with a mix of rating scales and open-ended questions.
  3. Create open-ended interview questions to gather qualitative insights.
  4. Propose a system for analyzing feedback data, including how to identify trends and actionable insights.
  5. Suggest a dashboard layout to visualize key metrics and track improvements over time.

Output format Provide a complete toolkit with sections: Survey Template, Interview Questions, Data Analysis Plan, and Dashboard Design. Use tables and bullet points for clarity.

Guardrails

  • Do not invent specific training content; focus on evaluation methods.
  • Flag any assumptions about the data analysis tools available.
  • Ensure the tools are anonymous and encourage honest feedback.

Example

  • {{training_program}}: "New hire onboarding for lab technicians"
  • {{feedback_focus}}: "Clarity of materials, trainer helpfulness, and overall satisfaction"
  • {{data_collection_method}}: "Online survey and follow-up interviews"

Follow-up prompts

  • How can we ensure the feedback process remains anonymous and encourages honesty?
  • What additional metrics should we consider for evaluating training effectiveness?
  • How frequently should we conduct evaluations to maintain training quality?