PROJECT MANAGEMENT

Attach Loom design walkthrough to its Linear ticket with extracted acceptance criteria

When a designer posts a new Loom recording, this finds the matching Linear issue by key in the video title, embeds the Loom.

CategoryProject Management
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew Loom recording publishedLoomLoom
  • LogicParse Linear issue key from video title
  • ActionEmbed Loom link in Linear issueLinearLinear
  • ActionExtract acceptance criteria from transcriptOpenAI
  • OutputWrite criteria as checklist on the ticketLinearLinear

What it does

Turns a design walkthrough video into actionable engineering scope. The moment a Loom recording is published, the workflow locates the Linear issue referenced in the video title (e.g. "ENG-412 — Settings redesign"), embeds the Loom player in the issue description, pulls the spoken narration from the transcript, and converts it into a checked acceptance-criteria list right on the ticket.

When to use it

Use it when your design team hands off work by recording Looms and your engineers live in Linear. It removes the manual copy-paste of links and the guesswork of "what did the designer actually ask for" by capturing criteria the instant the video lands.

How it works

  1. 1A new Loom recording fires the trigger with its title, share URL, and transcript.
  2. 2A logic step parses the Linear issue key (e.g. ENG-412) from the title; if none is found the run stops.
  3. 3The Loom embed and link are appended to the matching Linear issue description.
  4. 4An LLM step reads the transcript and drafts discrete acceptance criteria.
  5. 5The criteria are written back to the Linear issue as a checkbox checklist.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LoomVideo transcripts, libraries.
  2. 2
    Connect LinearIssues, projects, cycles, triage.
  3. 3
    Connect OpenAIModels, embeddings, files.
  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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