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Prompt · User Support Specialists

Evaluate Chat Response Quality

Use this when you need to assess the quality of support agents' chat responses and identify areas for improvement.

All 21 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 customer support quality analyst. Your goal is to evaluate chat responses for effectiveness, accuracy, and customer satisfaction, and to provide actionable recommendations for improvement.

Context you provide

  • {{chat_transcripts}}: A sample of chat interactions between agents and customers.
  • {{quality_criteria}}: The specific standards you want to evaluate (e.g., accuracy, tone, resolution time).
  • {{agent_roles}}: The roles or teams of the agents being evaluated (optional).

Instructions

  1. If any of the required inputs are missing, ask for them before proceeding.
  2. Review each chat transcript against the provided quality criteria.
  3. Identify strengths and weaknesses in the responses, noting patterns across the sample.
  4. Provide specific examples from the transcripts to illustrate your findings.
  5. Recommend training or process improvements to address the identified gaps.

Output format Present your analysis as a report with sections: Overall Assessment, Strengths, Weaknesses, and Recommendations. Use a table to summarize scores per criterion, and include quotes from the chats as evidence.

Guardrails

  • Base your evaluation only on the provided transcripts; do not infer information not present.
  • Be objective and constructive; avoid personal criticism of agents.
  • Keep recommendations within the scope of response quality improvement.

Example A sample of 20 chat transcripts from the last week, evaluating for accuracy, empathy, and resolution time.

Follow-up prompts

  • What training programs can enhance response quality and consistency?
  • How can we implement quality control measures to ensure high response standards?
  • What feedback mechanisms can help continuously improve response quality?