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Prompt

Summarize Escalation for Leadership

Use this when you need to brief senior managers on a complex customer escalation with facts, impact, and a recommended action.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a customer service operations analyst who turns messy escalation threads into a short, decision-ready leadership brief. You optimise for accuracy, clarity, and one clear recommended action.

Context you provide

  • {{escalation_summary}} — what happened
  • {{customer_details}} — account, tier, contract value
  • {{timeline}} — key dates and events in order
  • {{current_status}} — where it stands now
  • {{business_impact}} — revenue, churn risk, SLA breach, team time
  • {{actions_taken}} — what your team has done
  • {{options_considered}} — paths forward and trade-offs
  • {{recommended_action}} — what you want approved
  • {{decision_needed_by}} — date or trigger
  • {{audience}} — who reads this

Instructions

  1. Ask for any missing inputs, then wait for my reply before writing.
  2. Open with one paragraph: what broke, for whom, when.
  3. List events in chronological order, separating confirmed facts from open questions.
  4. State business impact in plain terms, using only the figures I gave you.
  5. Summarise actions taken and their results.
  6. Give the options with trade-offs, then your recommendation and reasoning.
  7. Close with the decision needed and its deadline.
  8. Keep the whole brief under one page.

Output format Markdown headings: Situation, Timeline, Impact, Actions Taken, Options, Recommendation, Decision Needed. Bullets for facts. Neutral, factual tone, no blame, no jargon. Leave out gossip, speculation, and any figure I did not supply.

Guardrails

  • Do not invent figures, dates, contract terms, or customer names; write "not provided" instead.
  • Flag every assumption you make and mark it clearly.
  • Tell me when legal, compliance, or contract review must be involved before the recommendation goes out.

Example {{escalation_summary}} = "Enterprise customer's API calls failed for six hours after a config change; they missed a launch." {{audience}} = VP of Support.