---
id: "claim-uniform-policies-fail"
type: "claim"
source_timestamps: ["¶2", "\\\"§ Rely on Data", "Not Intuition\\\"", "§ A Playbook to Customize Scheduling"]
tags: ["policy-design", "localization", "turnover-reduction"]
related: ["contrarian-predictability-not-absolute", "concept-scheduling-quality-dimensions", "quote-uniform-policies-fail", "claim-store-format-differences", "claim-regional-labor-markets-dictate"]
confidence: "high"
testable: true
speakers: ["Santiago Gallino", "Borja Apaolaza"]
sources: ["tail1"]
sourceVaultSlug: "hbr-seg-tail1"
originDay: 1
articleStem: "hbr-tail-111-service-worker-churn"
sourceUrl: "https://hbr.org/2026/03/the-solution-to-service-worker-churn"
sourceTitle: "The Solution to Service-Worker Churn"
---
# Uniform scheduling policies fail to deliver uniform retention results

**The central thesis of the research:** applying blanket scheduling rules across an entire organization is ineffective. Analyzing **280 million shifts across 20 retail chains**, the authors found the impact of scheduling practices varies wildly.

The signature example: a **12-day notice window produced a 4% monthly turnover rate at one retailer, but an 8% turnover rate at another** — the same policy, twice the churn. The effectiveness of any scheduling policy depends on the store format ([[claim-store-format-differences]]), the regional labor market ([[claim-regional-labor-markets-dictate]]), and the demographic makeup of the workforce at a given location ([[claim-worker-segment-differences]]).

The practical consequence is captured in [[quote-uniform-policies-fail]] ("Uniform scheduling policies rarely deliver uniform results") and drives the entire [[framework-customized-scheduling-playbook|customization playbook]]. It is measured through the [[concept-scheduling-quality-dimensions|five dimensions of scheduling quality]] and is the umbrella claim under which the contrarian finding [[contrarian-predictability-not-absolute]] sits.

**Confidence: high** · **Testable: yes.** **Enrichment:** The published article and the Wharton working paper *"What Makes Scheduling 'Responsible'? Evidence from 280 Million Shifts Across 20 Retailers"* confirm the sample size and the heterogeneous-effects thesis. The concrete 4% vs. 8% figure is plausible and consistent with the paper's design but is not independently visible in public secondary summaries.


## Related across articles
- [[concept-relative-proximity]]
- [[claim-relative-proximity-outperforms]]
- [[concept-hq-satellite-dynamic]]