TICKET MANAGEMENT
Real-Time Stall Detector on Status Change
Fires on each ClickUp task status update and flags tickets that have sat in-progress too long relative to their estimate.
How it runs
The automated pipeline, trigger to output.
- TriggerClickUp webhook fires on status changeClickUp
- ActionRead in-progress tickets with time-in-statusClickUp
- LogicFlag tickets exceeding estimate by factor
- ActionDraft stall alert with OpenAIOpenAI
- OutputPost stall alert to SlackSlack
What it does
Rather than waiting for a scheduled checkpoint, this workflow reacts in real time to ClickUp activity. Each time a task changes status, it checks whether any in-progress ticket has been stuck longer than its estimate predicts, catching emerging stalls as they happen.
When to use it
Use it for fast-moving sprints where a daily forecast is too coarse and you want an immediate nudge the moment a ticket starts dragging. Good complement to the scheduled midpoint forecaster.
How it works
- 1A ClickUp webhook fires on any task status change.
- 2The workflow reads the affected sprint's in-progress tickets with time-in-status and estimates.
- 3A logic gate flags any ticket whose elapsed in-progress time exceeds its estimate by the configured factor.
- 4OpenAI drafts a concise stall alert naming the ticket, owner, and how far over it is running.
- 5The alert is posted to the sprint Slack channel.
Set it up
What you configure once, before turning it on.
- 1Connect ClickUpDocs + tasks + chats in one workspace.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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