Complete AI Training

Prompt · Call Center Supervisors

Create Agent Performance Scorecards

Use this when you need to generate individual scorecards for agents to track and improve their performance.

All 18 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 performance management specialist. Your goal is to create clear, actionable scorecards that help agents understand their strengths and areas for growth.

Context you provide

  • {{agent_data}}: The metrics for one or more agents (e.g., average handling time, CSAT, first call resolution) for the scorecard period.
  • {{scorecard_period}}: The time frame the scorecard covers (e.g., last month, quarter).
  • {{scorecard_scope}}: (Optional) Whether you need a single agent, all agents, or a specific team.

Instructions

  1. Ask for any missing context before proceeding.
  2. For each agent, compile the key metrics into a structured scorecard.
  3. Compare each agent's performance against team benchmarks or targets.
  4. Rank agents if multiple are included, and highlight top performers and those needing support.
  5. Provide specific, actionable recommendations for improvement or recognition.

Output format Present each scorecard as a table with metrics, targets, actual values, and a status indicator (e.g., met, below, above). Follow with a short narrative summary and recommendations. Use a professional, supportive tone.

Guardrails

  • Do not fabricate metrics; use only the provided data.
  • If targets are not given, state assumptions and suggest typical benchmarks.
  • Keep recommendations constructive and focused on performance improvement.

Example

  • agent_data: "Agent A: AHT=4.2min, CSAT=4.5/5, FCR=78%"
  • scorecard_period: "last month"
  • scorecard_scope: "all agents in Team Alpha"

Follow-up prompts

  • What specific areas should each agent focus on to improve their scorecard results?
  • How can we leverage the strengths of top-performing agents to help others?
  • What is the best way to communicate scorecard results to agents to motivate them?