GPT Tasks/Create a Customer Feedback and Service Recovery Workflow
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Create a Customer Feedback and Service Recovery Workflow

Turn a real customer issue, verified policy boundaries, and user-controlled authority into a feedback intake, triage, response, recovery, escalation, and follow-up workflow.

Context → structured prompt → explicit AI handoff

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Prompt workbenchConfigure → review → use
01

Configure task

Setup
Paste or summarize the customer feedback, complaint, failure, or service context. Keep uncertain facts clearly marked.
Describe applicable policy, what the responder is authorized to offer or change, escalation contacts, and any hard boundaries.
Prompt style
Additional options
Add the desired outcome, channel constraints, tone requirements, timing, known history, or facts that must not be assumed.

What you’ll need

  • Customer feedback or complaint plus the policies and resolution authority you can verify
  • Customer feedback or service issue
  • Verified policy and resolution authority

What you’ll get

  • Verified issue summary
  • Triage and missing facts
  • Initial response framework or draft
  • Recovery options within authority
  • Escalation criteria
02

Prompt preview

Editable

Review or edit the generated prompt before you copy it or explicitly open an AI chat.

Export

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Task referenceExamples, expected output, boundaries, and routing.

Examples

1. Delayed service complaint

Context: A customer reports a missed delivery date; the team provides the verified order timeline and a policy that allows a specific credit amount.

Goal: Create an empathetic email workflow without admitting facts that are not known.

Useful output: Issue summary, missing facts, authorized response, escalation criteria, follow-up, and internal log fields.

2. Sensitive support issue

Context: A customer reports repeated support failures; the user supplies documented tickets and an escalation rule.

Goal: Create a formal recovery workflow that moves the issue to the right owner.

Useful output: Fact/unknown split, response framework, escalation handoff, follow-up steps, and no invented refund promise.

3. Chat recovery

Context: A small business has a routine complaint and can offer replacement or store credit under a supplied policy.

Goal: Prepare a concise chat response plus close-the-loop workflow.

Useful output: Triage, two authorized options, chat copy, logging checklist, and resolution confirmation steps.

Expected output

  • Verified issue summary
  • Triage and missing facts
  • Initial response framework or draft
  • Recovery options within authority
  • Escalation criteria
  • Follow-up workflow
  • Internal logging fields
  • Do-not-assume list
  • Next actions

Truth boundary

Do not invent customer facts, compensation authority, policy exceptions, admissions of fault, refunds, legal obligations or resolution outcomes. Escalation rules must remain user-controlled.

Overlap guard: Owns response/recovery operations for a specific feedback or service issue. Use feedback-theme analysis for aggregate qualitative patterns and customer-research questions for research design.

Privacy and handoff

Runs in this browser. No upload by this page. Copy/download locally or explicitly open ChatGPT or Gemini. Source files are attached in the chosen AI service, not uploaded by Mycelgrid. Review the generated prompt and AI output before using or sharing it.

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