SOCIAL MEDIA
Discord Complaint-Surge PagerDuty Escalation
Watches Discord in real time and, when a single complaint cluster surges past a critical volume within a short window, pages the on-call team via PagerDuty with the clustered…
How it runs
The automated pipeline, trigger to output.
- TriggerNew Discord message arrivesDiscord
- ActionAssign message to complaint cluster and update volumeOpenAI
- LogicDetect if any cluster crossed critical surge threshold
- ActionOpen PagerDuty incident with cluster summaryPagerDuty
- OutputReturn triggered incidentPagerDuty
What it does
This workflow treats a fast-moving Discord complaint surge like an incident. As messages arrive, it continuously clusters them and tracks how quickly any one negative cluster is growing. When a single theme — say, a payment outage or a broken release — spikes past a critical volume inside a short rolling window, it triggers a PagerDuty incident with the clustered summary and a sample of the messages, so on-call responds in minutes instead of hours.
When to use it
Use it when a sudden burst of community complaints means something is genuinely broken and needs an immediate human, not a next-morning digest. Pair it with the hourly digest for steady-state monitoring and reserve this for true surges.
How it works
- 1A new Discord message event triggers the flow.
- 2OpenAI assigns the message to a complaint cluster and updates that cluster's recent volume.
- 3A logic step checks whether any cluster has crossed the critical surge threshold within the rolling window.
- 4If a surge is detected, a PagerDuty incident is opened with the cluster summary and message samples.
- 5The triggered incident is the final output; sub-threshold messages exit quietly.
Set it up
What you configure once, before turning it on.
- 1Connect DiscordCommunity channels + voice + bots.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect PagerDutyIncidents, on-call, escalations.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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