PROJECT MANAGEMENT

Capture epic kickoff baselines into a Notion scope ledger

When a Linear epic moves into its In Progress state, this snapshots its child-issue point total, scope, and target date as the official kickoff baseline and records it as a row…

CategoryProject Management
Enginesim
Difficultybeginner
Triggerevent
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerLinear epic enters In Progress stateLinearLinear
  • LogicConfirm it is an epic with no existing baseline
  • ActionFetch child issues and point estimates from LinearLinearLinear
  • LogicCompute baseline points, count, and target date
  • OutputWrite baseline row to Notion scope ledgerNotionNotion

What it does

Watches Linear for epics transitioning into an active state and captures a one-time baseline: total child-issue points, issue count, and target date at the moment work starts. It writes that baseline as a row in a Notion database so every later scope-creep check has a trustworthy zero point to measure against.

When to use it

Use it as the companion to any scope-creep detector. Without a recorded kickoff baseline, growth can only be guessed at. Run this once per epic so future comparisons are exact rather than approximate.

How it works

  1. 1A Linear event fires when an epic enters its In Progress state.
  2. 2A filter confirms it is an epic and that no baseline row already exists for it.
  3. 3Linear is queried for the epic's full child-issue list and their point estimates.
  4. 4The workflow computes total points, issue count, and reads the target date.
  5. 5Notion receives a new row in the scope ledger with the epic ID, baseline points, count, target date, and timestamp.
  6. 6The created row link is returned for reference.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LinearIssues, projects, cycles, triage.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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