HR & RECRUITING

Interview Loop Closeout from Asana Stage Move

When a candidate's Asana task moves to the Decision stage, this gathers all interview feedback, assembles the hire-decision packet.

CategoryHR & Recruiting
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerAsana task moved to Decision stageAsanaAsana
  • ActionRead candidate scorecardsAirtableAirtable
  • LogicEnough feedback to decide?
  • ActionCompile calibrated packet + verdictOpenAI
  • OutputAttach packet to Asana task + notify assigneeAsanaAsana

What it does

Triggered by an Asana task moving into the Decision column, it collects every scorecard tied to that candidate, compiles a calibrated packet with ratings, themes, and a recommended verdict, and attaches the summary back to the Asana task. The recruiting pipeline becomes the single source of truth.

When to use it

Use it when your recruiting team already lives in Asana and feedback is scattered across forms and threads. Instead of hunting for notes when a candidate reaches decision, the packet assembles itself the moment the task advances.

How it works

  1. 1An Asana task moves into the Decision stage (trigger).
  2. 2The flow reads the candidate's scorecards from the intake store.
  3. 3A logic check confirms enough feedback exists; thin loops get flagged back to the recruiter instead of proceeding.
  4. 4An LLM step compiles the calibrated packet: per-competency rollup, recurring themes, and a recommended verdict with rationale.
  5. 5It posts the packet as a comment and attachment on the Asana task.
  6. 6It notifies the assignee that the decision packet is ready.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AsanaTasks, projects, milestones — everywhere.
  2. 2
    Connect AirtableBases, tables, views, automations.
  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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