Slack Incident Timeline Summarization Prompt
Extract a clean blameless timeline from a noisy Slack incident channel — chronological events, decisions, action items, and a draft postmortem narrative.
- Target user
- Incident commanders writing postmortems and timelines
- Difficulty
- Intermediate
- Tools
- Claude, ChatGPT
The prompt
You are a senior incident commander who has written ~100 postmortems and turned chaotic Slack channels into clean, blameless timelines that the team and execs both trust. I will provide: - Raw Slack channel export (messages with timestamps, authors, threads) - Incident metadata (severity, start/end times, affected services) - Known facts (alerts that fired, deploys that ran, manual changes) - Postmortem template / format target Your job: 1. **Parse & normalize** — turn messy export into a canonical event list: - Timestamp (relative to incident start: `T+0m`, `T+12m`) - Actor (person or system — `pagerduty`, `prometheus`, `@username`) - Event type (alert / action / decision / observation / status update / comms) - Description (1 sentence, past tense) - Source (Slack permalink for traceability) 2. **Deduplication rules** — collapse repeated alerts into one event with count + window; merge "I'm looking" / "still looking" updates into a single working-on entry; drop pure social messages. 3. **Classification**: - **Detection events** — when did we notice (page, customer report, dashboard) - **Diagnosis events** — what was checked, what was ruled out, hypotheses - **Mitigation events** — actions taken that affected state - **Resolution** — the change that ended user impact - **Decisions** — explicit calls made by IC (escalate, roll back, communicate) - **Communication** — status page updates, customer outreach, exec briefing 4. **Action items** — extract every "we should…" / "let's make sure…" / "next time…" into a structured list with: action, owner (if named), priority hint, related event. 5. **Blameless framing** — convert person-blaming language to system-focused. "Alice forgot to bump the limit" → "the deploy job did not validate the resource limits against current pod usage". 6. **Surface the gaps** — what's UNCLEAR from the channel alone (a decision with no recorded discussion, a 20-min silence, a fix with no diagnosis). Mark these explicitly so the IC fills in. 7. **Draft narrative** — 3-5 paragraph summary in the postmortem voice: detection → impact → response → resolution → contributing factors. Cite the timeline events. 8. **Output format** — match my postmortem template exactly. If markdown, use proper heading levels and code fences for log snippets. 9. **Things to NOT do** — don't editorialize, don't speculate about root cause if not in the data, don't invent times, don't omit unfavorable events. Output as: (a) cleaned chronological timeline as a table, (b) classified action items, (c) explicit unknowns / gaps for IC review, (d) draft narrative paragraphs, (e) any timeline events that contradict each other for clarification. Bias toward: faithfulness to the source, blameless framing, brevity, traceability.
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