PROJECT MANAGEMENT

Monday WIP-Cap Drift Auditor to Warehouse

Nightly snapshots every Monday column's item count and its configured WIP cap into BigQuery, flags caps that no longer match reality, and emails owners whose limits look stale.

CategoryProject Management
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNightly schedule
  • ActionPull column counts and caps from Mondaymonday.com
  • ActionAppend snapshot to BigQuery tableGoogle BigQueryBigQuery
  • LogicFlag caps that diverged over the last 7 days
  • OutputEmail recommended cap changes to owners via GmailGmailGmail

What it does

Keeps WIP limits themselves honest over time. Rather than enforcing caps, this audits whether the caps are still sensible: it snapshots actual column loads into a warehouse and flags limits that are chronically over- or under-subscribed so they can be re-tuned.

When to use it

Use this when WIP caps were set once and never revisited. Good for ops or delivery leads who want data on whether limits reflect real flow, and a nudge to owners when a column has run over its cap for days.

How it works

  1. 1A nightly schedule triggers the audit.
  2. 2The flow pulls per-column item counts from Monday and reads the configured caps.
  3. 3Each snapshot row is appended to a BigQuery table for historical analysis.
  4. 4A logic step queries the last 7 days and flags columns where actual load diverged from the cap on most days.
  5. 5For each flagged column it composes a short note recommending a new cap based on observed flow.
  6. 6The recommendations are emailed to the relevant column owners via Gmail.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect monday.comVisual work management for teams.
  2. 2
    Connect BigQueryDatasets, queries, schemas.
  3. 3
    Connect GmailRead, draft, send, label.
  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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