TICKET MANAGEMENT

Transcribe a customer Loom bug walkthrough into a structured Asana task

When a support agent shares a customer's Loom recording of a bug, the workflow transcribes it, has an agent turn the narration into numbered repro steps and environment notes.

CategoryTicket Management
Enginepaperclip
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew Loom recording shared in support workspaceLoomLoom
  • ActionFetch Loom transcript and recording metadataLoomLoom
  • ActionAgent converts narration into repro steps and env notesOpenAI
  • ActionCreate Asana task in engineering project with embedded videoAsanaAsana
  • OutputTag by severity and assign to triage ownerAsanaAsana

What it does

Customers often record a Loom showing a regression instead of writing it up. This workflow grabs the Loom transcript, has the agent convert the spoken walkthrough into clean numbered reproduction steps plus an environment summary, and files an Asana task in the engineering backlog with the video link front and center.

When to use it

Use it when your team collects screen-recorded bug reports and someone has to keep watching the video to remember what happens. It produces a written, searchable task so engineers don't have to scrub through footage.

How it works

  1. 1A new Loom recording shared to the support workspace triggers the run.
  2. 2The workflow pulls the recording's transcript and metadata from Loom.
  3. 3The agent rewrites the narration into ordered repro steps, expected vs. actual behavior, and any environment details mentioned aloud.
  4. 4An Asana task is created in the engineering project with the structured write-up and the embedded Loom link.
  5. 5The task is tagged by reported severity and assigned to the triage owner.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LoomVideo transcripts, libraries.
  2. 2
    Connect AsanaTasks, projects, milestones — everywhere.
  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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