PROJECT MANAGEMENT

Alert when mid-sprint Asana adds blow past team capacity

Watches an Asana sprint section and, when a task is added mid-sprint that pushes the committed estimate over the team's capacity, alerts the lead in Microsoft Teams…

CategoryProject Management
Enginesim
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerAsana task added to active sprint sectionAsanaAsana
  • ActionFetch sprint tasks and sum effort estimatesAsanaAsana
  • LogicStop unless new total overflows team capacity
  • LogicRank tasks by priority, pick lowest as cut candidates
  • OutputAlert lead in Microsoft Teams with overflow and trade-offsMicrosoft Teams

What it does

Turns scope creep into a capacity decision. It only fires when an added task actually overcommits the sprint, then tells the lead exactly how many hours over they are and surfaces the lowest-priority in-sprint tasks as candidate trade-offs, so the conversation is "what comes out" rather than "did something sneak in."

When to use it

Best for teams that plan in hours against a known capacity and care most about overcommitment, not every individual add. It stays quiet while there's slack and speaks up only when the sprint can no longer hold the work.

How it works

  1. 1**Trigger** — Asana fires when a task is added to the active sprint section.
  2. 2**Action** — Fetch all sprint tasks and sum their effort estimates from Asana.
  3. 3**Logic** — Compare the new total to team capacity; stop unless it now overflows.
  4. 4**Logic** — Rank in-sprint tasks by priority and pick the lowest as cut candidates.
  5. 5**Output** — Send the lead a Microsoft Teams alert with overflow hours and suggested trade-offs.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AsanaTasks, projects, milestones — everywhere.
  2. 2
    Connect Microsoft TeamsChannels, chats, files.
  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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