OTHER

Ghost Occupancy Detector

Flags the reverse problem: people who badged into the building and are sitting at desks but never made a reservation.

CategoryOther
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMid-morning schedule after arrivals
  • ActionQuery badge-ins left-joined to reservationsGoogle BigQueryBigQuery
  • LogicExclude exempt roles and de-duplicate
  • ActionPrompt ghost occupants to claim a desk on SlackSlack
  • ActionLog unreserved attendance to audit tableGoogle BigQueryBigQuery
  • OutputPost ghost-occupancy count to ops channelSlack

What it does

This workflow finds "ghost" occupancy: employees present in the building (badge-in recorded) who have no desk reservation for the day. It identifies them, nudges each one over Slack to claim or confirm a desk, and logs the unreserved attendance so facilities sees true vs. booked occupancy.

When to use it

Use it when reservation compliance is low and your floor-plan data can't be trusted because half the people in the office walked in and grabbed any open seat. It closes the gap between badge data and booking data.

How it works

  1. 1A scheduled trigger runs mid-morning after most arrivals.
  2. 2Query BigQuery for today's badge-in events left-joined to reservations, keeping employees with a badge-in but no booking.
  3. 3A logic step de-duplicates and excludes employees on approved no-desk roles (visitors, on-floor staff).
  4. 4Send each ghost-occupancy employee a Slack prompt with a one-click link to claim a desk.
  5. 5Write the unreserved-attendance records back to a BigQuery audit table for occupancy reporting.
  6. 6Post the day's ghost-occupancy count to the facilities ops channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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