HR & RECRUITING
Weekly Interviewer Load and Fairness Report
Each week, tallies how many interviews each panelist conducted from Calendar history, flags overloaded or underused interviewers against targets.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly scheduled report run
- ActionRead past-week interview events from CalendarGoogle Calendar
- LogicCompare counts to targets and classify load
- OutputPost load-balance report to MS TeamsMicrosoft Teams
What it does
Keeps interviewer load fair and visible. It counts every interview each panelist ran in the past week, compares it to per-person targets, and surfaces who is overloaded and who is available for more, so coordinators distribute future loops fairly instead of leaning on the same few people.
When to use it
Use it when a handful of senior interviewers carry the entire load and burn out while trained newer interviewers sit idle. Good for orgs scaling hiring who want defensible, data-backed load balancing.
How it works
- 1A weekly scheduled trigger kicks off the report.
- 2It reads the past seven days of interview events from Google Calendar and attributes each to its panelist.
- 3A logic step compares each person's count to their weekly target and classifies them as overloaded, on-target, or underused.
- 4It posts a ranked load-balance report to the hiring channel on Microsoft Teams with named recommendations for next week's assignments.
Set it up
What you configure once, before turning it on.
- 1Connect Google CalendarEvents, attendees, availability.
- 2Connect Microsoft TeamsChannels, chats, files.
- 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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