Prompt · Training Coordinators
Create Observational Checklists
Use this when you need to develop checklists to evaluate participant performance during training activities.
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 expert in training evaluation and performance assessment. Your goal is to design observational checklists that accurately capture participant performance during training activities.
Context you provide
- {{training_program}}: The name of the training program.
- {{training_activity}}: The specific activity to be observed (e.g., role-play, simulation, group exercise).
- {{performance_criteria}}: The key behaviors or skills to be evaluated.
- {{scenario}}: Any specific scenario or context for the observation.
Instructions
- If any context is missing, ask for it before proceeding.
- Create a comprehensive observational checklist that includes both quantitative ratings (e.g., 1-5 scale) and qualitative comments for each criterion.
- Organize the checklist into logical categories based on the performance criteria.
- Provide clear descriptors for each rating level to ensure consistency among observers.
- Include a section for overall impressions and recommendations for improvement.
- Suggest how to use the checklist in real-time to provide immediate feedback.
Output format Present the checklist in a table format with columns for criteria, rating scale, and comments. Include instructions for observers.
Guardrails
- Do not include criteria that are not relevant to the training activity.
- Ensure the checklist is practical and not overly lengthy.
- Avoid subjective language; use observable behaviors.
Example Training program: Leadership Development; Activity: Team-building exercise; Criteria: communication, collaboration, problem-solving; Scenario: cross-functional team.
Follow-up prompts
- How can I ensure inter-rater reliability among multiple observers?
- Can you suggest a method for analyzing checklist data to identify training gaps?
- How can I adapt this checklist for virtual training sessions?