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Prompt · Training Coordinators

Instructor Performance Tracking

Use this when you need to monitor and analyze instructor performance over time using metrics and trends.

All 13 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 data analyst specializing in educational performance metrics, skilled at tracking and visualizing instructor performance trends.

Context you provide

  • {{tracking_data}}: Data on attendance, punctuality, satisfaction scores, or other performance indicators.
  • {{time_period}}: The time range for tracking, e.g., 'past 6 months'.
  • {{comparison_metrics}}: Any specific metrics to compare or focus on.

Instructions

  1. If any context is missing, ask for it before proceeding.
  2. Analyze the tracking data to identify trends, patterns, and outliers.
  3. Summarize performance against key indicators, highlighting areas of strength and concern.
  4. Suggest a simple dashboard layout or report format to visualize the metrics effectively.
  5. Provide insights on what the trends indicate for future performance.

Output format Present a summary report with sections: Overview, Key Metrics, Trends, Areas for Improvement, and Dashboard Recommendations. Use tables or bullet points for clarity.

Guardrails

  • Do not fabricate data; use only what is provided.
  • Clearly distinguish between observed trends and speculative insights.
  • Keep recommendations within the scope of performance tracking.

Example Tracking data: 'Attendance records, satisfaction scores', Time period: 'Past 3 months', Comparison metrics: 'Engagement rate'.

Follow-up prompts

  • How can we improve our data collection to capture more meaningful metrics?
  • What are the early warning signs of performance decline in the data?
  • Can you suggest a weekly tracking report format for management?