HR & RECRUITING
Comp-Band Midpoint Outlier Sweep with Drafted Review Notes
After a market-data refresh lands in BigQuery, this sweep finds employees whose salary has drifted below their band midpoint, drafts a per-person review note.
How it runs
The automated pipeline, trigger to output.
- TriggerMarket-data refresh lands in BigQueryBigQuery
- ActionQuery employees vs. band midpointBigQuery
- LogicFilter to below-midpoint outliers past threshold
- ActionDraft per-person review note
- OutputPost ranked outlier list to People Slack channelSlack
What it does
Whenever a fresh market-data table lands in BigQuery, this workflow recomputes each employee's position against their compensation band and surfaces anyone now sitting below the band midpoint. For each flagged person it drafts a short, neutral review note (current pay, midpoint, percent gap, suggested adjustment band) and posts a ranked summary to a private People-team Slack channel.
When to use it
Run it right after your quarterly or monthly market-data vendor refresh, when refreshed midpoints can silently push people out of position. Best for teams that already warehouse comp and headcount in BigQuery and want a repeatable outlier list instead of a manual spreadsheet pass.
How it works
- 1A scheduled BigQuery check detects the refreshed market-data table.
- 2A query joins active employees to their band and computes the gap to midpoint.
- 3A filter keeps only employees below midpoint beyond a tolerance threshold.
- 4For each match, a note is drafted with the gap math and a suggested band.
- 5The ranked outlier list plus draft notes is posted to the People Slack channel.
Set it up
What you configure once, before turning it on.
- 1Connect BigQueryDatasets, queries, schemas.
- 2Connect SlackChannels, DMs, threads, mentions.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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