PROJECT MANAGEMENT

CEO-drafted sprint rescope briefing for overcommitted teams

On a manual or scheduled trigger, the CEO agent reads BigQuery velocity forecasts and Linear cycle plans, identifies overcommitted teams.

CategoryProject Management
Enginepaperclip
Difficultyadvanced
Triggermanual
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerManual or pre-planning trigger
  • ActionRead forecasted capacity per teamGoogle BigQueryBigQuery
  • ActionPull committed cycle plans with prioritiesLinearLinear
  • LogicAgent selects deferral candidates per team
  • OutputPublish rescope briefing to NotionNotionNotion

What it does

This workflow produces a reasoned planning briefing, not just a threshold alert. The CEO agent reads the BigQuery velocity forecast snapshot and the committed plan for each Linear cycle, finds teams whose commitment outruns predicted capacity, and reasons about which issues to defer based on priority, dependencies, and estimate confidence. It writes a clear rescope recommendation per overcommitted team into a Notion page for the planning review.

When to use it

Use it ahead of a planning review when you want a judgment-based recommendation that weighs priority and risk, not a mechanical points-over-velocity flag. It turns raw capacity gaps into a defensible cut list.

How it works

  1. 1A manual or pre-planning schedule trigger starts the run.
  2. 2The agent reads forecasted capacity per team from BigQuery.
  3. 3It pulls each team's committed Linear cycle plan with priorities and estimates.
  4. 4It reasons over the gap to select deferral candidates per team.
  5. 5It composes a structured briefing and publishes it to Notion for review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  2. 2
    Connect LinearIssues, projects, cycles, triage.
  3. 3
    Connect NotionPages, databases, comments.
  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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