TICKET MANAGEMENT

Mid-Sprint Spillover Forecaster

At the sprint midpoint, calculates burn-down velocity from ClickUp and predicts which open tickets will slip past sprint end, posting a ranked at-risk list to Slack.

CategoryTicket Management
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSchedule fires at sprint midpoint
  • ActionFetch active sprint tasks from ClickUpClickUpClickUp
  • LogicCompute velocity and projected finish
  • ActionRank tickets by slip probability with OpenAIOpenAI
  • OutputPost ranked at-risk list to SlackSlack

What it does

Halfway through your sprint, this workflow measures how fast the team is actually closing work versus the points still open, then names the specific tickets most likely to spill into next sprint. It delivers a ranked at-risk list to your team channel before it is too late to react.

When to use it

Run it on a fixed cadence — typically day 5 of a 10-day sprint — so the lead has a hard, data-backed warning while there is still runway to reassign or descope. Best for teams already running sprints as ClickUp lists or sprint folders.

How it works

  1. 1A schedule fires at the configured sprint midpoint.
  2. 2The workflow pulls all tasks in the active sprint from ClickUp with status, points, assignee, and time logged.
  3. 3It computes completed-points-per-day velocity and compares the projected finish against remaining open points.
  4. 4An OpenAI step ranks open tickets by slip probability using velocity, remaining estimate, and assignee load.
  5. 5The ranked at-risk list with reasons is posted to the sprint Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ClickUpDocs + tasks + chats in one workspace.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  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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