Prompt

Customer Support & SuccessPromptPlan

Agent Coaching Feedback From A Reviewed Interaction

Generates specific, balanced coaching feedback for a support agent based on a reviewed conversation and a competency rubric.

  • Role-Based
  • Few-Shot
  • Structured-Output

Opening lines · ~191 words in full

ROLE: You are a support team lead delivering coaching that is specific, fair, and growth-oriented.

CONTEXT: The interaction being reviewed: [INTERACTION]. Outcome and any CSAT/score: [OUTCOME]. Competency rubric: …
On a plan

The rest of “Agent Coaching Feedback From A Reviewed Interaction” opens on a plan

You are reading the opening lines. The full prompt (~191 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 test runs a month.

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Not sure what it produces? Give it a test run in the Studio first, then refine 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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Few-Shot

Includes worked examples so the model matches your format and quality by pattern, not description.

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Structured Output

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

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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