CUSTOMER SUPPORT

Close the loop with requesters when a Linear bug moves to Done

When a Linear issue created from a support escalation moves to Done after deploy, look up the originating Zendesk tickets and notify each requester that their reported bug is…

CategoryCustomer Support
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerLinear issue moved to DoneLinearLinear
  • LogicKeep only deployed support-escalation issues
  • ActionRead linked Zendesk ticket IDs from attachmentsLinearLinear
  • ActionFetch requester + status per ticketZendeskZendesk
  • ActionPost resolved reply and set ticket solvedZendeskZendesk
  • OutputComment notified-tickets list back on LinearLinearLinear

What it does

Bridges the engineering tracker and the support desk. When a Linear issue that originated from a support escalation is moved to Done, this workflow finds the Zendesk tickets that spawned it and tells those requesters the work is complete and live.

When to use it

Use it when escalations flow Zendesk to Linear and customers never hear back once engineering finishes. Best for teams whose 'Done' column means deployed, so the notification is truthful.

How it works

  1. 1A Linear webhook fires when an issue transitions to the Done state.
  2. 2A filter keeps only issues that carry a support-escalation label and a deployed marker.
  3. 3The flow reads the linked Zendesk ticket IDs from the Linear issue's attachments.
  4. 4It fetches each ticket's requester and current status from Zendesk.
  5. 5It posts a public reply that the reported issue is resolved and sets the ticket to solved.
  6. 6It comments back on the Linear issue listing which tickets were notified, for an audit trail.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LinearIssues, projects, cycles, triage.
  2. 2
    Connect ZendeskTickets, queues, knowledge base.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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