MARKET RESEARCH

New-Role Strategy Inference Brief

On each newly detected competitor job posting, uses an LLM to infer the strategic intent behind the role and appends a one-paragraph analyst note to a Notion competitive…

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerRolling schedule poll
  • ActionPull latest postings from competitorsApify
  • LogicDrop already-recorded postings
  • ActionInfer strategic intent per role with LLMOpenAI
  • OutputAppend annotated note to Notion CI databaseNotionNotion

What it does

It turns a single new job posting into a strategy read. When a competitor lists a 'Head of Partnerships, LATAM' or a 'Staff Engineer, Billing Platform', the LLM reasons about what that role implies about their roadmap, market expansion, or org maturity, then files a short analyst note.

When to use it

Use this when you want qualitative interpretation, not just counts. It is ideal for analysts who maintain a living competitive intelligence doc and want every signal pre-annotated with a hypothesis they can confirm or discard.

How it works

  1. 1A schedule trigger polls for new postings on a rolling basis.
  2. 2Apify pulls the latest postings from tracked competitors.
  3. 3A filter drops any posting already recorded so only genuinely new roles continue.
  4. 4For each new role, OpenAI reads the title, description, and seniority and writes a concise inference of the strategic intent plus a confidence level.
  5. 5The flow appends each annotated role as a new entry in the Notion competitive intelligence database, tagged by competitor and inferred theme.

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 NotionPages, databases, comments.
  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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