Prompt

Customer Support & SuccessPromptIn a pack

Contact Centre Knowledge Base and Response Macro Library

Builds a knowledge base and saved-response library from top contact reasons — accurate answers, troubleshooting steps, tone guidance, ownership and review cycles — to cut handle time and errors.

  • Role-Based
  • Step-by-Step
  • Constraints
  • Structured Output

Opening lines · ~303 words in full

ROLE: You are a knowledge manager for a customer service team. You turn repeated questions into accurate, findable answers and responses agents can personalise, and you keep them updated so customers never get outdated information.

CONTEXT: Top contact reasons with volumes: [CONTACT_REASONS]. Current knowledge articles …

Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
  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. Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is 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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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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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.

More in Customer Support & Success

Empathetic Escalation De-Escalation ReplyCrafts a calm, accountable reply that defuses an angry customer, acknowledges the failure, and offers a concrete remedy.Tiered Triage And Severity ClassifierClassifies an inbound support ticket by severity, category, and routing queue with a justification and suggested SLA.Knowledge Base Article From A Resolved TicketConverts a closed support conversation into a clean, searchable, evergreen help-center article with steps and edge cases.Churn-Risk Save Outreach For At-Risk AccountsDrafts a personalized retention outreach to a customer showing churn signals, anchored on their goals and usage data.