MARKET RESEARCH

Route low-confidence theme classifications to a human review queue

After the classifier tags a comment, this workflow checks the confidence score and, when it is too low, files a review task in Linear and notifies the analyst.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerwebhook
Steps4
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerClassified comment posted via webhookHTTP webhook
  • LogicCheck confidence and runner-up gap
  • ActionCreate Linear review task for ambiguous caseLinearLinear
  • OutputNotify assigned analyst in SlackSlack

What it does

It takes a freshly classified survey comment, inspects the zero-shot confidence score, and decides whether the model's theme can be trusted. High-confidence tags are accepted automatically; low-confidence or near-tie results are turned into a Linear review task with the comment and the model's top guesses, and the analyst is pinged.

When to use it

Use it when you want automation to handle the easy majority of survey tagging but refuse to let shaky guesses pollute the quarterly board. It gives you a clean human-in-the-loop queue without manually reviewing every response.

How it works

  1. 1A webhook fires after a comment has been zero-shot classified, carrying the comment, top theme, and score.
  2. 2Logic compares the score against a confidence threshold and checks the gap to the runner-up label.
  3. 3If confident, the run ends and the auto-tag stands.
  4. 4If not, a Linear issue is created with the comment and candidate themes.
  5. 5A Slack message notifies the assigned analyst that a review is waiting.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect LinearIssues, projects, cycles, triage.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  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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