DATA OPS
Nudge Owners of Unlabeled BigQuery Jobs via Slack DM
Finds expensive BigQuery jobs that ran without a team label, looks up the user who ran them, and sends each person a private Slack DM asking them to start labeling.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily morning schedule
- ActionFind unlabeled high-cost jobs with owner emailBigQuery
- LogicAggregate by user and resolve Slack member
- ActionDM each owner their unlabeled jobsSlack
- OutputIncrement repeat-offender tally in CodaCoda
What it does
Closes the attribution gap by hunting for high-cost jobs missing a `team` label, mapping the BigQuery `user_email` to a Slack user, and privately nudging each owner to label their work so cost reports stay clean.
When to use it
When your cost-by-team reports are undermined by a big "unattributed" bucket. Use it to drive labeling hygiene through gentle, direct, repeated reminders instead of blanket channel scolding.
How it works
- 1A scheduled trigger runs each morning.
- 2A BigQuery action selects yesterday's jobs above a bytes-billed threshold where the `team` label is null, returning `user_email` and cost.
- 3A logic step aggregates cost per user and resolves each email to a Slack member.
- 4A Slack action sends each owner a DM listing their unlabeled jobs and the dollar impact, with labeling instructions.
- 5A Coda action increments a repeat-offender tally so persistent gaps surface for a manager follow-up.
Set it up
What you configure once, before turning it on.
- 1Connect BigQueryDatasets, queries, schemas.
- 2Connect SlackChannels, DMs, threads, mentions.
- 3Connect CodaDocs, packs, automations.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
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