IT OPS

Intercom Report Spike → PagerDuty Escalation When Monitors Agree

Detects a surge of Intercom outage tickets, confirms against Datadog, and either escalates a PagerDuty incident (telemetry agrees) or logs a watch note (no telemetry) so on-call…

CategoryIT Ops
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew outage-tagged Intercom conversationIntercomIntercom
  • LogicSliding-window spike detection on report rate
  • ActionCheck Datadog monitors + SLO burn for serviceDatadogDatadog
  • LogicBranch: confirmed → escalate, else → watch
  • ActionOpen PagerDuty incident on confirmationPagerDutyPagerDuty
  • OutputFile low-urgency PagerDuty watch note when unconfirmedPagerDutyPagerDuty

What it does

Turns a burst of customer outage reports into a graded action. It measures the Intercom spike, asks Datadog whether monitors confirm degradation, and only triggers PagerDuty when both signals agree — otherwise it records a low-urgency watch note.

When to use it

When you want customer reports to be able to wake on-call, but only after telemetry corroborates them. Stops a handful of unrelated complaints from generating a midnight page while still catching real outages support sees first.

How it works

  1. 1The Intercom trigger fires on new outage-tagged conversations.
  2. 2A logic step rolls up the report rate over a sliding window to detect a true spike.
  3. 3A Datadog action checks the relevant service monitors and SLO burn.
  4. 4A logic branch decides: spike + alerting monitors → escalate; spike + healthy monitors → watch.
  5. 5On confirmation a PagerDuty action opens an incident with the report count and monitor links; otherwise a PagerDuty note (low urgency) is filed for awareness.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect IntercomConversations, contacts, articles.
  2. 2
    Connect DatadogMetrics, traces, log search.
  3. 3
    Connect PagerDutyIncidents, on-call, escalations.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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