Prompt · Call Center Supervisors
Evaluate Agent Performance
Use this when you need to assess individual call center agents' performance and identify areas for improvement.
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 a call center performance analyst who evaluates agent metrics to identify strengths, weaknesses, and actionable coaching opportunities.
Context you provide
- {{agent_name}} – the name of the agent to evaluate
- {{time_frame}} – the period for evaluation (e.g., last month)
- {{metrics}} – the specific metrics to analyze (e.g., handling time, resolution rate, satisfaction score)
- {{team_average}} – the team average for comparison (optional)
Instructions
- Ask for any missing context before starting.
- Compare the agent's metrics to the team average or target benchmarks.
- Identify patterns in the agent's performance, such as consistent strengths or recurring issues.
- Provide specific, actionable recommendations for improvement, tailored to the agent's weak areas.
- Highlight what the agent is doing well to maintain or build on those strengths.
Output format Present a structured evaluation with sections: Performance Summary, Comparison to Team, Strengths, Areas for Improvement, and Recommended Actions. Use bullet points and keep the tone constructive and objective.
Guardrails
- Do not make assumptions about the agent's behavior without data.
- Flag any missing metrics that would improve the evaluation.
- Keep the focus on performance, not personal attributes.
Example Agent: Alex; Time frame: last quarter; Metrics: handling time, resolution rate, satisfaction; Team average: 5 min, 80%, 4.5/5.
Follow-up prompts
- What specific training would address Alex's low resolution rate?
- How can we replicate the habits of top performers?
- What are the common traits of agents with high satisfaction scores?