---
id: "claim-scheduling-not-always-cause"
type: "claim"
source_timestamps: ["§ A Playbook to Customize Scheduling"]
tags: ["root-cause-analysis", "turnover-reduction"]
related: ["contrarian-scheduling-not-root-cause", "question-non-scheduling-drivers", "concept-operational-noise"]
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"
---
# Scheduling is not always the primary driver of turnover

Despite the report's focus on scheduling, the authors explicitly warn that scheduling is **not a universal scapegoat** for churn. In their analysis of 20 retailers, **two companies showed almost no scheduling effect on turnover whatsoever**.

When data reveals this to be the case, organizations must pivot their retention efforts to other structural factors: **compensation levels, advancement opportunities, job design, leadership quality, and overall corporate culture**. Distinguishing a genuine scheduling problem from [[concept-operational-noise|operational noise]] is exactly what the analytics are for.

This claim is the honest boundary condition of the whole thesis; see the myth-busting note [[contrarian-scheduling-not-root-cause]] and the unresolved diagnostic question [[question-non-scheduling-drivers]].

**Confidence: high** · **Testable: yes.** **Enrichment:** The conceptual claim that scheduling's impact can be negligible in some firms is supported by the article's framing (analysis can reveal "to what degree scheduling is the culprit fueling turnover"). The specific "2 out of 20" statistic is not visible in public summaries but is plausible given the authors' emphasis on heterogeneity.