Predictive scheduling

Predictive scheduling, often called fair workweek legislation, is a family of laws that require employers to give staff their schedules a set number of days in advance and to compensate them when those schedules change at the last minute. The aim is to give hourly workers enough certainty to plan their lives: childcare, a second job, a class. Cities and states including Oregon, New York City, San Francisco, Seattle, Chicago and Philadelphia have their own versions.

What the laws typically require

• Written schedules published a set number of days ahead, often 14
• Predictability pay when a shift is changed, cut or added late
• A minimum rest period between closing and opening shifts, sometimes called clopening rules
• The right to decline shifts not on the original posted schedule
• Good-faith estimates of expected hours at hire

Why advance, stable schedules are good practice everywhere

Even where no law applies, the habits predictive scheduling encourages are simply good management. Schedules published early and changed rarely reduce no-shows, lower turnover, and build trust that a last-minute-text culture erodes. Treating the posted schedule as a commitment rather than a first draft is worth doing on its own merits, not just to stay compliant.

Meeting the requirement in practice

The practical need is to publish early, keep changes rare and deliberate, and cover gaps without a scramble that forces late edits. When coverage gaps surface days ahead and can be filled from a ranked list of eligible people, you resolve them before the schedule goes out rather than by rewriting it the night before. Publishing a clean, stable week is easier when the gaps were closed while there was still time.

“Predictive scheduling laws just write down what good scheduling already does: post it early, and mean it.”