PERSONAL PRODUCTIVITY

Route Loom critique to the right ClickUp list by Figma frame

Matches feedback in a Loom design review to the specific Figma frame being discussed, then files each comment as a ClickUp task in the list owned by that frame's feature squad.

CategoryPersonal Productivity
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerLoom recording finished in design workspaceLoomLoom
  • ActionRead Loom transcript and linked Figma fileLoomLoom
  • ActionFetch Figma frame names to build frame indexFigmaFigma
  • ActionAlign each feedback segment to a Figma frameOpenAI
  • LogicRoute to owning ClickUp list (or triage if unmatched)
  • OutputCreate ClickUp task with timestamp + frame linkClickUpClickUp

What it does

Long design reviews often cover several frames belonging to different squads. This workflow reads the Loom transcript, looks up which Figma frame the reviewer is referencing at each moment, and routes every piece of feedback to the ClickUp list owned by the squad responsible for that frame — so comments land in the right backlog automatically.

When to use it

When one critique video spans multiple features or pages and you don't want a human triaging which team owns each note. Ideal for design systems and multi-squad product orgs.

How it works

  1. 1A finished Loom recording triggers the run and its transcript plus shared Figma file link are read.
  2. 2The Figma file's frames and their names are fetched to build a frame index.
  3. 3An LLM aligns each transcript segment to the frame it most likely references.
  4. 4A routing branch maps each frame to its owning ClickUp list using a lookup table.
  5. 5A ClickUp task is created in the matched list, embedding the Loom timestamp link and the Figma frame URL.
  6. 6Any segment with no confident frame match is sent to a triage list for manual sorting.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LoomVideo transcripts, libraries.
  2. 2
    Connect FigmaFiles, frames, comments, assets.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect ClickUpDocs + tasks + chats in one workspace.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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