PROJECT MANAGEMENT
Escalate unresolved Asana sprint overcommit to the lead and pager
Webhook-driven guard that records each capacity breach and, when a person stays over capacity past a grace window with no rebalance, escalates to the sprint lead in Teams…
How it runs
The automated pipeline, trigger to output.
- TriggerWebhook: capacity breach event receivedHTTP webhook
- LogicLog breach and wait grace window
- ActionRe-check assignee load in AsanaAsana
- LogicBranch: clear vs. still over capacity
- ActionEscalate to sprint lead in TeamsMicrosoft Teams
- OutputOpen PagerDuty incident if goal at riskPagerDuty
What it does
A single overcommit flag is easy to ignore. This workflow records every capacity breach pushed from the assignment guard, waits out a grace window, and re-checks. If the person is still over capacity and nobody has rebalanced, it escalates to the sprint lead in Microsoft Teams, and if the breach threatens a committed sprint goal, it opens a PagerDuty incident so it can't be silently dropped.
When to use it
Use it when overcommit warnings get acknowledged and then forgotten. The grace-then-escalate pattern ensures sustained overload reaches someone accountable before the sprint is blown.
How it works
- 1A webhook receives a capacity-breach event from the assignment guard with assignee and sprint context.
- 2The workflow logs the breach and waits a configured grace window.
- 3It re-queries Asana to check whether the assignee is still over capacity.
- 4A branch ends quietly if the load is now clear; otherwise it continues.
- 5It posts an escalation to the sprint lead in Microsoft Teams with the breach history.
- 6If the overage endangers a goal-tagged task, it opens a PagerDuty incident for on-call.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect AsanaTasks, projects, milestones — everywhere.
- 3Connect Microsoft TeamsChannels, chats, files.
- 4Connect PagerDutyIncidents, on-call, escalations.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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