MARKET RESEARCH

Convert recurring review themes into Linear issues

Weekly, clusters complaint themes from your own app's reviews and opens or updates a Linear issue per theme.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule
  • ActionScrape your app's recent reviewsApify
  • ActionCluster reviews into themes with quotesOpenAI
  • LogicFilter to high-volume themes and dedupe against LinearLinearLinear
  • OutputCreate or update a Linear issue per themeLinearLinear

What it does

This workflow turns raw app-store feedback for your own app into structured backlog work. Each week it clusters the latest reviews into complaint themes and, for every theme above a volume threshold, opens a Linear issue (or appends to the matching existing one) tagged with the review count and representative quotes — so the backlog stays anchored to real user pain.

When to use it

Use it when review themes keep getting lost in Slack and never make it into the tracker. This closes the loop: a recurring complaint becomes a deduped, evidence-backed Linear issue automatically.

How it works

  1. 1A weekly schedule starts the run.
  2. 2Apify pulls the past week of reviews for your app across stores.
  3. 3OpenAI clusters them into named themes with counts, severity, and example quotes.
  4. 4A logic step keeps only themes above the threshold and, for each, searches Linear for an existing matching issue.
  5. 5For matches it appends the new evidence as a comment; for new themes it creates a Linear issue with the quotes and count in the body.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ApifyActors, scrapers, datasets.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  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.

Run this workflow in your colony.

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