---
id: "question-measuring-governance-friction"
type: "open-question"
source_timestamps: ["§ Building for Continuous Adaptation"]
tags: ["metrics", "kpis"]
related: ["action-assign-governance-leader"]
resolutionPath: "Develop a standardized dashboard of 'governance health metrics' that tracks AI override rates, cross-channel collision frequency, and decision-cycle time."
sources: ["attention"]
sourceVaultSlug: "hbr-seg-attention"
originDay: 4
articleStem: "hbr-new-31-tailor-digital-strategy-customer"
sourceUrl: "https://hbr.org/2026/06/tailor-your-digital-strategy-to-reach-every-customer"
sourceTitle: "Tailor Your Digital Strategy to Reach Every Customer"
---
# How to quantify governance friction?

The authors suggest watching for **'signs of friction'** — rising **override rates** of AI recommendations or slower decision-making — but **do not provide** specific methodologies or baseline metrics for quantifying *when* friction has reached a critical threshold requiring intervention.

Directly limits [[action-assign-governance-leader]]: a leader tasked with recalibrating [[concept-digital-governance]] needs measurable triggers.

**Resolution path:** Develop a standardized dashboard of **'governance health metrics'** tracking AI override rates, cross-channel collision frequency, and decision-cycle time.