Equal workspace

Schedule

Startup routine readyStart setup
Schedule workspace

Review the week, not a spreadsheet.

The schedule module is structured around the main product moment: generate a fair roster, understand the assignment logic, and publish with confidence.

Generation flow

Mirrors the primary flow defined in the source spec.

01

Generate schedule

02

Review conflicts

03

Adjust by drag-and-drop

04

Publish roster and notify staff

Hard rules satisfied

100%

No overlaps, legal rest windows protected, and coverage met for every critical role.

Soft constraint score

93.8

Preferences, fatigue balancing, and weekend rotation all factor into the current proposal.

Publish readiness

18 unresolved

Conflicts are isolated and explainable before the schedule is pushed live.

Current proposal

Week of March 31

Synced for review

Monday

Mar 31

Inbound lead

06:00 - 14:00

Mia Cruz

Support pod

14:00 - 22:00

Kai Morgan

Night ops

22:00 - 06:00

Noah Kent

Tuesday

Apr 1

Packing

07:00 - 15:00

Lena Park

Dispatch

12:00 - 20:00

Owen Diaz

Escalations

18:00 - 02:00

Rae Taylor

Wednesday

Apr 2

Clinical

08:00 - 16:00

Ivy Chen

Float pool

10:00 - 18:00

June Hall

Night desk

20:00 - 04:00

Zara Ali

Thursday

Apr 3

Inbound

06:30 - 14:30

Mia Cruz

Service

13:00 - 21:00

Kai Morgan

Night ops

21:30 - 05:30

Ava Brooks

Friday

Apr 4

Warehouse

09:00 - 17:00

Lena Park

Customer care

11:00 - 19:00

Rae Taylor

Dispatch

16:00 - 00:00

Owen Diaz

Explainability

Why the system made each choice

Kai Morgan

Picked for Tuesday support because it reduces weekend imbalance over the last 6 cycles.

Noah Kent

Night coverage assigned because minimum-rest constraints eliminate two alternates this week.

Lena Park

Protected from back-to-back late shifts to keep fatigue score inside the soft threshold.

Guardrails

Constraint priorities

Legal max hours and mandatory rest periods are locked before any soft scoring happens.

Skill coverage checks ensure every published shift has the required mix.

Soft weights balance nights, weekends, fatigue, and personal preferences over time.