PROJECT MANAGEMENT

Linear sprint spillover early-warning to Slack

Each weekday it reads the active Linear cycle, projects whether open scope will finish by the cycle end date based on the team's recent throughput.

CategoryProject Management
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekday morning schedule
  • ActionFetch active cycle, issues, and estimates from LinearLinearLinear
  • LogicProject remaining points against trailing throughput
  • LogicBranch: on track vs. spillover likely
  • OutputPost spillover early-warning to SlackSlack

What it does

It computes a daily burn-down for the active Linear cycle and compares the remaining open points against the team's recent completion rate. When the projection shows scope won't land by the cycle end, it raises a spillover warning in Slack with the at-risk issues named.

When to use it

Use it when your team works in fixed Linear cycles and you keep discovering slippage only at the review. This surfaces the drift mid-cycle, while there's still time to cut scope or pull in help, instead of after the deadline passes.

How it works

  1. 1A weekday morning schedule fires the run.
  2. 2It pulls the active cycle, its end date, and all issues with their estimates and states from Linear.
  3. 3It calculates remaining open points and the average points completed per working day over the trailing two weeks.
  4. 4A projection step checks whether remaining points divided by daily throughput exceeds the working days left.
  5. 5If on track, it exits quietly; if at risk, it ranks the largest unstarted issues as spillover candidates.
  6. 6It posts a Slack message with the projected overage, days remaining, and the named at-risk issues.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LinearIssues, projects, cycles, triage.
  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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