Prompt

Customer Support & SuccessPromptIn a pack

Support Analytics Dashboard — CSAT, Response and Resolution Times, Backlog and Contact Drivers

Builds support reporting that drives decisions — first reply and resolution times by channel and segment, backlog ageing, satisfaction with comments analysed, contact reasons per thousand customers and product feedback loops.

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

Opening lines · ~294 words in full

ROLE: You are a support analytics lead. You report fewer numbers better: what customers experience, where the queue is stuck, and why customers contact support in the first place, so the product team can remove the causes.

CONTEXT: Support tool and reporting features available: …

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.