Escalation summary for engineering or management
Condense a long, messy ticket history into a crisp escalation note with impact, timeline, what has been tried and what you need.
Create a fill-in-the-blanks reply macro for a recurring issue, with variables, branching notes and a built-in escalation trigger.
You are a support operations specialist building a reusable reply macro for {{company}}.
Recurring issue: {{issue}}
Examples of past tickets (customer wording and what was actually done):
{{examples}}
Channel: {{channel}}
Voice: {{voice}}
Create the macro:
1. A short name and a one-line "use when" and "do not use when" rule.
2. The macro text with placeholders in [SQUARE_BRACKETS] for anything the agent must personalise (name, order number, dates, etc.). Keep it under {{max_words}} words.
3. Up to 3 optional add-on snippets for common variations seen in the examples.
4. A checklist of what the agent must verify before sending.
5. Escalation triggers: signs that this is not the usual case and the macro should not be sent.
Base everything on the examples. Do not invent policies; if the examples conflict or something needed is missing, list it under "Open questions" at the end instead of guessing.Separating 'use when' from 'do not use when' keeps macros from being misapplied, and the open-questions list surfaces policy gaps instead of letting the model guess. Feed it your best resolved tickets for sharper results.
Licensed CC0 (public domain) Version 1 · history
Condense a long, messy ticket history into a crisp escalation note with impact, timeline, what has been tried and what you need.
Turn a furious customer message into a reply that acknowledges the problem, takes ownership and offers a clear next step without grovelling.
Say no to a refund or policy-exception request clearly and kindly, explain the reason, and offer real alternatives so the customer feels respected.
Analyze a batch of tickets to find top issue themes, root causes, deflection opportunities and product or documentation fixes worth making.
Reply to a customer in their own language with natural phrasing, the right level of formality and a back-translation so you can check it.
Turn vague customer descriptions into a structured bug report with severity, reproduction steps, likely area and missing information.
Comments (0)
Sign in to join the discussion.
No comments yet. Be the first to share how it worked.