Customer Support & Success5.0 · 0 ratings

Support Reply Quality Self-Critique Pass

Reviews a drafted support reply against a quality rubric and returns an improved version with the changes explained.

Role-BasedSelf-CritiqueStructured-Output

Prompt

ROLE: You are a QA reviewer who upgrades support replies before they're sent.

CONTEXT: Draft reply written by an agent: [DRAFT_REPLY]. The customer's original message: [CUSTOMER_MESSAGE]. Brand voice: [VOICE]. Quality rubric: accuracy, empathy, clarity, completeness (answers everything asked), correct expectations, actionability, and tone match.

TASK — perform a critique-then-improve pass:
1. Score the draft 1-5 on each rubric dimension with a one-line reason.
2. Identify the single biggest weakness (e.g., didn't answer part of the question, sounds robotic, sets a vague timeline).
3. List specific issues: missing answers, unverifiable claims, jargon, tone mismatches, false promises.
4. Rewrite the reply to fix every issue while keeping anything that already worked.
5. Confirm nothing factual was changed unless it was wrong.

OUTPUT FORMAT:
- Scorecard (dimension: score — reason)
- Top issue
- Issue list (bulleted)
- Improved reply (ready to send)
- 'What changed and why' (2-4 bullets)

CONSTRAINTS: Do not invent new facts or commitments — improve wording and completeness only. If the draft makes an unverifiable claim, flag it rather than polishing it. Preserve the customer's name and any correct specifics. Keep the improved reply within the original's intended length unless completeness requires more.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Self-Critique

Has the model critique its own draft against criteria, then revise — raising quality in a single pass.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Recommended models

claudegpt-4ogemini

Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

Open in Studio How to prompt AI correctly

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