PROJECT MANAGEMENT

Flag downstream Asana tasks blocked by an at-risk milestone

When an Asana milestone slips or is marked at-risk, walks its dependency chain to find every downstream task that will be delayed, and posts a ranked blast-radius report to Slack.

CategoryProject Management
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerAsana milestone updated (date or status field)AsanaAsana
  • LogicKeep only changes that breach the deadline or set At Risk
  • ActionFetch downstream dependent tasks, recursing one levelAsanaAsana
  • LogicRank blocked tasks by remaining slack
  • OutputPost ranked blast-radius report to Slack channelSlack

What it does

Watches a portfolio of Asana milestones. The moment one is marked at-risk or its due date moves past the project deadline, this template traces the full dependency tree downstream and reports exactly which tasks, owners, and sub-deadlines are now in jeopardy.

When to use it

Run this on any project where a single late milestone quietly cascades into missed launch dates. Instead of a PM manually clicking through dependencies, you get an instant blast-radius readout the moment risk appears.

How it works

  1. 1An Asana milestone is updated (due date changed or a custom "Status" field set to At Risk).
  2. 2A filter confirms the change actually pushes the milestone past its committed date or flips it to a risk state.
  3. 3The flow fetches all tasks that list this milestone as a dependency, then recurses one level further to capture second-order blockers.
  4. 4It scores each downstream task by slack remaining (due date minus new projected start) to rank what breaks first.
  5. 5A Slack message lands in the project channel with the ranked blocked-task list, owners @-mentioned, and a deep link back to the milestone.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AsanaTasks, projects, milestones — everywhere.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  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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