PROJECT MANAGEMENT

Flag Linear issues added after sprint commit and log them to a scope-creep ledger

Watches a Linear cycle for issues added after the sprint has started, then records each one in a Notion scope-creep ledger with the added point value and the person who requested…

CategoryProject Management
Enginesim
Difficultyintermediate
Triggerwebhook
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerLinear issue added to active cycleLinearLinear
  • LogicAdded after cycle start date?
  • ActionRead estimate, title, and requesterLinearLinear
  • LogicRoute unestimated issues to needs-sizing
  • ActionAppend row to Notion scope-creep ledgerNotionNotion
  • OutputLedger row recorded for retro reviewNotionNotion

What it does

When an issue is added to the active Linear cycle after its start date, this workflow captures it, reads the estimate and the requester, and appends a row to a Notion ledger so every mid-sprint addition is on the record with points attributed to a stakeholder.

When to use it

Run this when your team commits to a fixed scope at sprint planning but stakeholders keep dropping work into the cycle. It removes the end-of-sprint argument about "who added what" by logging additions as they happen.

How it works

  1. 1A Linear webhook fires whenever an issue is created or moved into the active cycle.
  2. 2A logic step compares the issue's added-to-cycle timestamp against the cycle start date and drops anything added before commit.
  3. 3An action reads the issue's estimate (points), title, and the requester field or last commenter to attribute the ask.
  4. 4A logic step skips issues with no estimate by routing them to a "needs sizing" tag instead of the ledger.
  5. 5An action appends a row to the Notion scope-creep ledger: issue, points, requesting stakeholder, date.
  6. 6The new ledger row is the durable output a lead reviews at retro.

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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