HR & RECRUITING
Weekly interviewer-load imbalance report
Each week, tallies scheduled and completed interviews per interviewer from Google Calendar and Airtable, flags anyone overloaded or idle.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly Friday schedule
- ActionPull interview events from Google CalendarGoogle Calendar
- ActionPull linked candidate data from AirtableAirtable
- LogicTally load per interviewer, flag outliers
- OutputEmail balance report to hiring leadsGmail
What it does
Aggregates the past and upcoming week of interview events per interviewer by combining Google Calendar invites with the candidate records they belong to in Airtable, then measures load distribution across the panel and highlights both overloaded and under-used interviewers.
When to use it
Run it weekly when a handful of senior people absorb most interviews while others sit idle, creating burnout and scheduling bottlenecks. The report gives hiring leads the data to rebalance assignments before the next cycle.
How it works
- 1A weekly schedule fires every Friday afternoon.
- 2Pull interview calendar events for the load window from Google Calendar and the linked candidate stage data from Airtable.
- 3Group events by interviewer and count scheduled vs completed interviews and total hours each.
- 4Compute the mean and spread, then flag interviewers above the overload threshold and those below the idle floor.
- 5Build a per-interviewer load table with the imbalance flags and suggested rebalancing.
- 6Email the formatted report to the hiring leads distribution list.
Set it up
What you configure once, before turning it on.
- 1Connect Google CalendarEvents, attendees, availability.
- 2Connect AirtableBases, tables, views, automations.
- 3Connect GmailRead, draft, send, label.
- 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 this workflow in your colony.
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