PROJECT MANAGEMENT

Escalate Loom-reported blockers that stay open too long

On a schedule, find ClickUp tasks tagged as standup blockers that have been open past a threshold and escalate them to the team lead in Slack with the original Loom clip.

CategoryProject Management
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerRecurring stale-blocker check
  • ActionQuery open blocker-tagged tasksClickUpClickUp
  • LogicFilter to tasks past age threshold
  • ActionEscalate to lead in Slack with Loom linkSlack
  • OutputComment on task to mark escalatedClickUpClickUp

What it does

It makes sure spoken blockers actually get unstuck. The workflow scans ClickUp for tasks tagged `blocker` from standups, finds the ones still open beyond your threshold (say 48 hours), and escalates each to the team lead in Slack with a link back to the original Loom video for context.

When to use it

Use it after you're already capturing standup blockers as tasks and want a safety net so aging impediments surface to a decision-maker instead of quietly rotting on the board. Best for teams where blockers are common and ownership is fuzzy.

How it works

  1. 1A recurring schedule (e.g. twice daily) fires the check.
  2. 2The workflow queries ClickUp for open tasks carrying the standup `blocker` tag.
  3. 3A logic step filters to tasks whose age exceeds the configured threshold.
  4. 4For each stale blocker, an escalation message is sent to the team lead in Slack, including the task link and the source Loom recording.
  5. 5The escalated tasks get a ClickUp comment noting they were flagged, preventing repeat pings on the next run.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ClickUpDocs + tasks + chats in one workspace.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Connect LoomVideo transcripts, libraries.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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