---
id: "quote-algorithms-vs-humans"
type: "quote"
source_timestamps: ["§ A Playbook to Customize Scheduling"]
tags: ["ai-human-collaboration", "frontline-management"]
related: ["action-empower-frontline-managers", "framework-customized-scheduling-playbook"]
speaker: "Santiago Gallino and Borja Apaolaza"
speakers: ["Santiago Gallino", "Borja Apaolaza"]
quote: "Algorithms suggest patterns, but humans must determine whether those patterns make sense in practice. The most effective store managers use data not as a mandate but as a guide, balancing individual workers' preferences with operational needs to make scheduling reforms succeed on the ground."
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"
---
# Algorithms suggest, humans determine

> "Algorithms suggest patterns, but humans must determine whether those patterns make sense in practice. The most effective store managers use data not as a mandate but as a guide, balancing individual workers' preferences with operational needs to make scheduling reforms succeed on the ground."
>
> — [[entity-santiago-gallino|Santiago Gallino]] and [[entity-borja-apaolaza|Borja Apaolaza]]

The human-in-the-loop principle: data analytics identify patterns, but human empathy and local context are required to implement schedules well. This is Step 3 of the [[framework-customized-scheduling-playbook|playbook]] and the direct rationale for [[action-empower-frontline-managers]].