PROJECT MANAGEMENT

Compile a sprint-review scope-creep accounting digest from ClickUp

At sprint end, scans a ClickUp sprint folder for tasks created after the sprint start date and compiles a Notion accounting report listing each late-added task, its story points.

CategoryProject Management
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled run at sprint close
  • ActionFetch all sprint tasks with creation dates and pointsClickUpClickUp
  • LogicPartition into committed vs added-after-start
  • LogicTotal added points and percent over commit
  • OutputWrite scope-creep accounting page to NotionNotionNotion

What it does

On a schedule aligned to sprint close, the workflow pulls every task in the current ClickUp sprint, separates tasks created before the sprint started from those added afterward, and produces a structured scope-creep accounting page in Notion. The report totals the late-added points against committed points so the team enters review with hard numbers instead of guesses.

When to use it

Run this the morning of sprint review when you need a clean, repeatable accounting of what was committed versus what crept in, with attribution and point impact.

How it works

  1. 1A scheduled trigger fires near sprint close.
  2. 2The flow queries the ClickUp sprint list for all tasks and their creation dates and point estimates.
  3. 3It partitions tasks into committed (created before sprint start) and added-after-commit buckets.
  4. 4It computes total added points and the percent over the original commit.
  5. 5A Notion page is created with a table of late-added tasks, their owners, points, and the summary totals for the review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ClickUpDocs + tasks + chats in one workspace.
  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.

Run this workflow in your colony.

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