Do Fair Workweek Laws Improve Worker Wellbeing?
Seattle created a rare natural experiment: schedule notice improved, then sleep and economic security moved with it.
Reviewed against primary sources on July 23, 2026 by the Soon operations research team. How we vet the evidence
The evidence in one line
Seattle’s Secure Scheduling ordinance was followed by an 11 percentage point reduction in workers receiving less than two weeks of notice by year two (Harknett et al., 2021). A difference-in-differences design comparing covered Seattle workers with workers at the same firms elsewhere also found improvements in sleep quality and economic security. This is stronger than a simple before-and-after comparison, but it evaluates one city, one law, and large retail and food-service employers.
A natural policy experiment
Two weeks of notice became more common
57%
Short-notice schedules
Before the Seattle ordinance
−11 pts
By year two
Relative to the comparison trend
3
Wellbeing gains
Sleep, security, subjective wellbeing
The difference-in-differences design is stronger than a simple before-and-after study, but it evaluates one bundled law in large retail and food-service firms.
A policy change created the comparison
The ordinance required two weeks of schedule notice, predictability pay for changes, and extra pay for closely spaced closing and opening shifts. Before implementation, 57% of surveyed Seattle workers received less than two weeks of notice. By year two that share had fallen by 11 percentage points relative to the comparison trend (Harknett et al., 2021). The study also found movement across a six-part index covering short notice, changes, unpaid changes, closing-opening shifts, on-call work, and canceled shifts.
The design matters because the researchers did not merely ask whether Seattle workers felt better after the law. They surveyed hourly employees at covered firms in Seattle and at the same firms in comparison cities before and after implementation. That difference-in-differences structure removes common changes over time, although it still depends on the comparison cities representing what would have happened in Seattle without the ordinance.
The downstream result was broader than notice
The policy evaluation found improvements in subjective wellbeing, sleep quality, and economic security. An instrumental-variable analysis then used the law-induced change in schedules to estimate the effect of predictability itself. That second step supports a causal interpretation more strongly than the earlier cross-sectional schedule surveys, while adding assumptions about the law affecting wellbeing through schedule predictability rather than another route (Harknett et al., 2021).
The result does not say that every notice rule will produce the same outcome. Seattle covered hourly employees at large retail and food-service firms and combined several requirements in one ordinance. The study cannot isolate which provision mattered most, and it does not establish the employer cost, customer impact, or effect in healthcare, manufacturing, or smaller businesses.
What this means for your schedule
- Measure notice, changes, cancellations, on-call work, and closing-opening shifts separately, because a single advance-notice percentage misses much of schedule uncertainty.
- Treat two weeks as the policy threshold studied in Seattle, not a universal biological cutoff.
- Compare outcomes before and after any policy change against a credible unaffected group when possible, rather than attributing every trend to the new rule.
The business case
Schedule predictability is an operating condition with measurable worker outcomes, not only a compliance feature. The Seattle evidence makes sleep quality and economic security legitimate implementation metrics.
Budget the policy as a bundle. The evidence does not identify whether notice, predictability pay, reduced on-call work, or rest between shifts produced the observed gains.
Frequently asked questions
- What did Seattle’s Secure Scheduling ordinance require?
- The law required covered large retail and food-service employers to provide two weeks of schedule notice, pay for certain late changes, and provide extra pay for closely spaced closing and opening shifts. The research evaluates that combined policy rather than any single provision in isolation (Harknett et al., 2021).
- Did the law actually make schedules more predictable?
- Yes. Before implementation, 57% of surveyed Seattle workers received less than two weeks of notice. By year two, the share had fallen by 11 percentage points relative to the comparison trend (Harknett et al., 2021). Other components of the schedule-unpredictability index also improved.
- Does this study establish that predictability improves sleep?
- It provides quasi-experimental evidence, which is stronger than a one-time survey. The difference-in-differences analysis found improved sleep quality after the law, and the instrumental-variable analysis linked law-induced predictability to wellbeing. The causal reading still depends on the comparison and instrument assumptions.
- Can the Seattle result be applied to every industry?
- No. The sample covered hourly employees at large retail and food-service firms. Healthcare, manufacturing, public safety, and small businesses face different demand patterns and constraints. The finding supports testing predictability as an operational lever, not copying one effect estimate into every setting.
Sources
Every figure on this page is drawn from a cited primary source and checked against the original publication.
Harknett, K., Schneider, D., & Irwin, V. (2021). Improving health and economic security by reducing work schedule uncertainty. Proceedings of the National Academy of Sciences, 118(42), e2107828118. https://doi.org/10.1073/pnas.2107828118
Design: Difference-in-differences evaluation of Seattle Secure Scheduling with instrumental-variable analysis
Cite these sources: BibTeX RIS
Why this page is graded moderate evidence
A consistent systematic review or meta-analysis at a lower grade, or a large observational study whose authors disclaim causality.
Who reviewed this
Every article in this library is checked against its primary sources by the Soon operations research team: each figure is traced back to the study it came from, and the wording is checked against the study design before publication. What that review covers
None of the studies cited here evaluated Soon.They examine scheduling practices, shift patterns, and working hours as studied by independent researchers, so their findings describe what those practices are associated with, not what any particular software produces.
This article summarizes published research for scheduling and operations decisions. It is not medical advice. Individual health questions belong with a qualified clinician.
Keep reading
What does a survey of 27,792 hourly workers say about unstable schedules and well-being?
The widest well-being gap in the data sits around canceled shifts, and the finding is correlational throughout.
Read →How steeply does hardship rise with schedule unpredictability?
As schedule unpredictability climbs, predicted material hardship climbs with it across four separate domains, and it does so after pay is accounted for.
Read →What Happened When a Retailer Randomized Stable Scheduling?
A randomized controlled field experiment in scheduling research: what it measured, what it earned, and where it stops.
Read →What Will Workers Give Up to Avoid an Employer-Set Schedule?
A randomized hiring experiment priced what applicants were willing to give up for schedule control, and the price attaches to when the hours land rather than to how much notice workers get.
Read →Workforce scheduling software
Related resource
Open →