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Best prompts for ChatGPT for customer support using escalation management

12 copy-ready, practical prompts for customer support teams to triage, document, communicate, and resolve escalations effectively. Each prompt includes a concise explanation, a realistic example, and recommended AI models to use.

Claude Opus 4
GPT-5
Claude Sonnet 4
Gemini 2.5 Flash
Gemini 2.5 Pro
Picture this: it's 3 AM, your biggest client is furious about a system outage, and your support team is scrambling to figure out who should handle what while the clock ticks toward your SLA deadline. You know ChatGPT could help streamline this chaos, but staring at that blank prompt box while everything is on fire feels impossible. Sound familiar?
These 12 battle-tested prompts transform your escalation nightmares into smooth, systematic responses that actually work when pressure is high. From triaging that first angry ticket to writing blameless post-incident reviews, each prompt gives you the exact words to get ChatGPT delivering professional results in seconds instead of minutes. Say goodbye to panicked improvisation and hello to confident escalation management that keeps both customers and leadership happy.
1
Triage incoming escalation ticket
You are a support triage assistant. Analyze the ticket below and output: 1) severity (Critical/High/Medium/Low) with justification, 2) recommended primary owner role (e.g., Tier 2 Engineer, Product Manager), 3) SLA deadline (date/time in UTC) given a 4-hour SLA for Critical, 24-hour SLA for High, 72-hour SLA for Medium, 7-day SLA for Low, and 4) the immediate next three actions (concise). Ticket: "Ticket ID: {{ticket_id}}. Customer: {{customer_name}} (Enterprise). Product: {{product_name}}. Description: {{full_ticket_text}}. Attachments: {{attachments_summary}}. Customer impact: {{number_of_users_affected}} users Affected. Time reported: {{time_reported_UTC}}."
Automatically analyze a new ticket, determine severity, suggest owner, SLA due time, and immediate next steps based on issue details.
2
Create escalation email to customer
You are writing an escalation update email to a customer. Use a professional and empathetic tone. Include: 1) brief summary of the issue, 2) what has been done so far, 3) current root-cause hypothesis or blocking item, 4) clear ETA for next meaningful update, 5) escalation contact (name, role, phone, email), and 6) what the customer can expect next. Use the details below. Keep under 250 words. Details: Customer: {{customer_name}}. Ticket ID: {{ticket_id}}. Impact: {{impact_summary}}. Current status: {{current_status}}. Investigation notes: {{investigation_notes}}. Escalation contact: {{escalation_contact_name}} / {{role}} / {{phone}} / {{email}}.
Compose a clear, empathetic, and SLA-aware escalation email explaining status, steps being taken, ETA, and the escalation contact.
3
Summarize chat transcript for escalation
You are an escalation summarizer. Given the chat transcript below, produce: 1) one-line summary, 2) timeline of events (timestamps + actions), 3) three most relevant customer quotes, 4) known technical indicators (errors, codes, logs), 5) recommended next owner and three action items for escalation. Keep the summary to 200–300 words and provide the timeline as bullet points. Chat transcript: {{pasted_chat_transcript}}
Convert a long customer chat transcript into a concise escalation summary including timeline, key quotes, tickets referenced, and recommended actions.
4
Draft concise internal escalation Slack message
You are composing an internal Slack alert for an escalation. Output a message under 120 characters subject line and a body with: 1) one-sentence impact statement, 2) link to ticket, 3) required urgency level, 4) immediate action requested, 5) contact for follow-up. Use this data: ticket {{ticket_id}}, impact: {{impact_summary}}, link: {{ticket_link}}, SLA: {{sla_level}}, owner recommended: {{owner_role}}.
Generate a short, structured Slack message to notify the on-call engineering team with necessary context and actionable asks.
5
Create escalation playbook step-by-step
You are an ops writer. Create a step-by-step playbook for handling a product API outage affecting multiple customers. Include: 1) detection steps, 2) initial containment steps, 3) diagnostic commands/log paths, 4) communication templates (customer & internal), 5) escalation criteria to involve on-call SRE and Product, and 6) rollback/mitigation options. Keep steps numbered and include owner for each step.
Produce a concise, ordered playbook for handling the specific escalation type, with owner responsibilities, checklists, and decision points.
6
Convert incident notes to RCA draft
You are drafting an RCA. Using the incident notes below, produce: 1) incident summary, 2) timeline of key events with UTC timestamps, 3) root cause statement (one sentence), 4) contributing factors, 5) immediate remediation taken, 6) long-term mitigation plan with owners and target dates, and 7) customer impact statement. Use clear, non-technical language for the customer-facing sections. Incident notes: {{incident_notes}}
Turn investigation notes into a structured Root Cause Analysis with timeline, root cause, contributing factors, fixes applied, and long-term remediation actions.
7
Prioritize multiple simultaneous escalations
You are a prioritization assistant. For each escalation below, output a priority score (1–100), rank them, and provide a short rationale plus recommended resource allocation (number and roles) and next action. Use the following fields: ticket_id, customers_affected, sla_deadline_UTC, revenue_at_risk_estimate_USD, regulatory_flag (yes/no), current_status. Input list: {{list_of_escalations_JSON}}
Given a list of active escalations, score and rank them by business impact, SLA risk, number of customers affected, and regulatory/legal exposure, and recommend allocation of resources.
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