Your postmortems,
written before the
coffee gets cold.
Recon watches Datadog, Sentry, PagerDuty, and Slack during outages and auto-drafts a polished postmortem with root-cause analysis, timeline, and action items. In minutes, not hours.
Three steps from outage to postmortem
No manual note-taking. No chasing engineers for context. Recon does the busywork so your team can focus on fixing things.
Connect your tools
Plug in Datadog, Sentry, PagerDuty, and Slack. OAuth tokens, 5-minute setup, read-only access. Your data never leaves your infrastructure.
Incident detected
When an incident fires, Recon starts listening. It captures alerts, error spikes, metric anomalies, and Slack threads in real-time.
Postmortem drafted
Minutes after resolution, you get a complete draft: chronological timeline, root-cause analysis, contributing factors, and prioritized action items.
Plugs into the tools your team already runs
Recon reads from your observability stack. No agents to install, no code to instrument.
Datadog
Metrics, APM traces, anomaly detection
Sentry
Error spikes, stack traces, release correlation
PagerDuty
Alert timelines, responder tracking, severity
Slack
Thread capture, decision tracking, context
More integrations coming: OpsGenie, Grafana, Jira, Linear, GitHub
Postmortems shouldn't take longer than the incident
3-5 hours of busywork
- ✗ Chase 4 engineers for their recollection
- ✗ Scroll through 200+ Slack messages
- ✗ Manually cross-reference Datadog dashboards
- ✗ Write the doc 2 weeks later from memory
- ✗ Action items that never get tracked
Polished draft in 5 minutes
- ✓ Automatic timeline from all signal sources
- ✓ Root-cause analysis with supporting evidence
- ✓ Contributing factors identified across systems
- ✓ Action items linked to teams and owners
- ✓ Ready to review before the retro meeting
A postmortem your VP of Engineering would actually read
Every draft follows your org's template. Clean, structured, evidence-backed.
Incident Timeline
Minute-by-minute chronology built from alerts, deploys, Slack threads, and metric changes. No gaps, no guessing.
Root Cause Analysis
What broke, why it broke, and the chain of events that led there. Backed by actual data from your observability stack.
Action Items
Prioritized follow-ups with suggested owners. Ready to drop into Jira or Linear. No more "we should probably fix that" limbo.
Questions
Stop writing postmortems
by hand.
Join the waitlist. Your next incident will thank you.