TICKET MANAGEMENT

Escalate high-effort Front reopens to a Linear issue

When a reopened Front ticket scores as high-effort and angry, opens a Linear issue with the customer context and links it back to the Front conversation so engineering or QA can…

CategoryTicket Management
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerFront conversation reopenedFront
  • ActionScore effort and anger with OpenAIOpenAI
  • LogicIs severity high?
  • ActionCreate Linear issue with contextLinearLinear
  • OutputLink issue back on Front conversationFront

What it does

Bridges a frustrated reopen straight into your engineering tracker. Some reopens are not a support problem at all, they signal a broken fix or a product defect. This workflow detects the severe ones and turns them into a tracked Linear issue with full context, so the underlying cause gets owned instead of being re-answered by support again and again.

When to use it

Use it when reopens often trace back to incomplete fixes or recurring bugs, and you want those promoted out of the support queue into engineering with an audit trail linking both systems.

How it works

  1. 1Front fires a conversation-reopened event.
  2. 2OpenAI scores the reopened thread for effort and anger, returning a severity tier.
  3. 3A logic step proceeds only when severity is high.
  4. 4A Linear issue is created with the summary, customer quote, and Front conversation link.
  5. 5The Front conversation is updated with the Linear issue URL so support sees ownership has moved.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  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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