PROJECT MANAGEMENT

Weekly Capacity Forecast from BigQuery Velocity Warehouse

Every Monday, reads historical velocity from BigQuery, projects realistic capacity for active Linear cycles, and writes a forecast summary to a Notion planning page.

CategoryProject Management
Enginesim
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonday morning schedule
  • ActionQuery trailing velocity by team from BigQueryGoogle BigQueryBigQuery
  • ActionRead open cycle commitments from LinearLinearLinear
  • LogicProject capacity and confidence band per team
  • OutputUpsert forecast table to Notion planning pageNotionNotion

What it does

This workflow turns warehoused sprint history into a forward-looking capacity number. It reads per-team velocity trends from BigQuery, projects how many points each active team can realistically clear this week, and publishes a clean forecast to a Notion page the planning team already reviews.

When to use it

Use it when sprint history lives in BigQuery and you want a recurring, data-backed capacity number for weekly planning instead of gut-feel estimates. Ideal for orgs running multiple teams in Linear.

How it works

  1. 1A Monday morning schedule triggers the run.
  2. 2The workflow queries BigQuery for trailing velocity by team, including trend slope and variance.
  3. 3It reads each team's open Linear cycles to get current commitment.
  4. 4A logic step computes projected capacity and a confidence band per team.
  5. 5The forecast table, with over- and under-committed teams flagged, is upserted to a Notion planning page.

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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