---
id: "action-ab-test-schedules"
type: "action-item"
source_timestamps: ["§ A Playbook to Customize Scheduling"]
tags: ["experimentation", "change-management"]
related: ["framework-customized-scheduling-playbook", "action-mine-workforce-data"]
action: "Pilot targeted scheduling changes in select sites using A/B testing to validate impact."
outcome: "Validated, evidence-based scheduling practices ready for scaled deployment."
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"
---
# A/B test schedule adjustments before scaling

**Action:** Pilot targeted scheduling changes in select sites using A/B testing to validate impact.

Once key turnover drivers are identified (via [[action-mine-workforce-data]]), do **not** roll out changes globally. Pilot targeted schedule adjustments in a select group of sites using A/B testing or phased rollouts. Measure the impact on **retention, performance, and morale** to validate the changes before expanding them to the broader organization.

This is **Step 2** of the [[framework-customized-scheduling-playbook|playbook]] and the experimental discipline that turns correlational analytics into causal confidence.

**Expected outcome:** Validated, evidence-based scheduling practices ready for scaled deployment.