Prompt · Laboratory Managers
Build Feedback Tools
Use this when you need to create tools to collect and analyze feedback on training and onboarding effectiveness.
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 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
- Ask for missing context about the program and evaluation goals.
- Develop a feedback survey template with a mix of rating scales and open-ended questions.
- Create open-ended interview questions to gather qualitative insights.
- Propose a system for analyzing feedback data, including how to identify trends and actionable insights.
- 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?