TICKET MANAGEMENT

Attach inbound customer crash reports to the canonical engineering bug

When a Zendesk ticket describes a crash, an agent classifies it against known crash signatures and links it to the matching canonical Linear bug.

CategoryTicket Management
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew crash-tagged Zendesk ticketZendeskZendesk
  • LogicAgent classifies against signature catalog
  • ActionLink ticket to canonical Linear bugLinearLinear
  • ActionAdd customer to impact listPostgreSQLPostgres
  • OutputReply on Zendesk with tracking statusZendeskZendesk

What it does

Bridges support and engineering. Customer-filed Zendesk tickets that describe a crash get classified by their symptoms and stack details, matched to an existing canonical Linear bug, and tagged with that ticket's ID so engineering sees exactly how many customers each defect is hitting.

When to use it

When support receives many tickets for the same underlying crash and you need one source of truth for customer impact rather than scattered, unlinked reports. Ideal for prioritizing fixes by real customer blast radius.

How it works

  1. 1A new or updated Zendesk ticket tagged as a crash triggers the flow.
  2. 2An agent reads the ticket body and any attached logs, then matches it against the known signature catalog using semantic and stack-trace cues.
  3. 3On a confident match, it links the Zendesk ticket to the canonical Linear bug and adds the customer to that bug's impact list in Postgres.
  4. 4On no confident match, it flags the ticket for a human triager rather than guessing.
  5. 5It replies on the Zendesk ticket noting the linked tracking issue and current status.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZendeskTickets, queues, knowledge base.
  2. 2
    Connect LinearIssues, projects, cycles, triage.
  3. 3
    Connect PostgresAny Postgres URL — query, write, migrate.
  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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