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Mock demo · simulated data

Mock demo · staffing operations

Which shift requests are going unfilled, and why?

A generic console for multi-brand healthcare staffing teams: open requests, fill-rate and time-to-fill trends, and a recovery queue, all from invented data.

Open the consoleSee the recovery queue

Last 12 weeks, all brands

Week of Sep 28: 97%

60%73%87%100%Jul 13Jul 27Aug 10Aug 24Sep 7Sep 21

83% filled overall, median 26 h to fill (720 synthetic requests).

From a number to an action

  1. Step 1

    See the gap

    Open shift requests, fill rate and time to fill for every brand on one console.

    Open the console
  2. Step 2

    Find the pattern

    Filter by brand and specialty to see where requests stall and how long they wait.

    Try the filters
  3. Step 3

    Recover the shift

    Pick recovery levers for unfilled requests and queue them for action.

    Open the queue

All brands, sites, requests and figures here are invented and seeded. Nothing is connected to a real system.