---
id: "prereq-ab-testing-fundamentals"
type: "prereq"
source_timestamps: ["§ How the Company Gained Buy-In"]
tags: ["data-science", "methodology"]
related: ["action-run-local-ab-tests", "framework-pernod-ricard-buy-in"]
reason: "Required to understand how Pernod Ricard generated 'tangible improvements' to convince skeptical sales teams."
sources: ["adoption"]
sourceVaultSlug: "hbr-seg-adoption"
originDay: 9
articleStem: "hbr-edu-41-french-spirits-employee-buy-in"
sourceUrl: "https://hbr.org/2025/12/how-a-french-spirits-company-created-employee-buy-in-for-ai"
sourceTitle: "How a French Spirits Company Created Employee Buy-In for AI"
---
# A/B Testing Fundamentals

The source assumes the reader understands the concept of A/B testing — comparing a treatment group using the AI tool against a control group using traditional methods — to isolate and prove the statistical value of the intervention.

**Why it's needed.** Required to understand how Pernod Ricard generated 'tangible improvements' to convince skeptical sales teams (see [[action-run-local-ab-tests]] and pillar 1 of [[framework-pernod-ricard-buy-in]]). Without this, the reader cannot see why localized experimental evidence — rather than top-down promises — is what flipped the workforce toward the [[concept-pull-vs-push-adoption]] dynamic.