---
id: "action-measure-trust-factors"
type: "action-item"
source_timestamps: ["§ 1. Measure Trust"]
tags: ["measurement", "hr-analytics"]
related: ["framework-four-factors-trust"]
action: "Measure the four factors of trust within your organization using behavioral surveys."
outcome: "Quantifiable data revealing exactly where employee confidence in AI is rising or eroding, enabling targeted interventions."
sources: ["adoption"]
sourceVaultSlug: "hbr-seg-adoption"
originDay: 9
articleStem: "hbr-edu-40-workers-dont-trust-ai"
sourceUrl: "https://hbr.org/2025/11/workers-dont-trust-ai-heres-how-companies-can-change-that"
sourceTitle: "Workers Don’t Trust AI. Here’s How Companies Can Change That."
---
# Integrate Trust Metrics into Surveys

**Action:** Incorporate the **four factors of trust** — humanity, transparency, capability, reliability (see [[framework-four-factors-trust]]) — into existing annual talent surveys or AI testing protocols to establish a **behavioral baseline** of workforce confidence.

**Expected outcome:** quantifiable data revealing *exactly where* employee confidence in AI is rising or eroding, enabling targeted interventions rather than blanket campaigns.

**Implementation notes:** this is Step 1 of the [[framework-five-approaches-ai-trust]] and the prerequisite for everything downstream — you cannot manage what you don't measure. **Best practice (from enrichment):** don't let the composite score stand alone; triangulate it with **behavioral data** (actual usage logs, error/near-miss reports) and **qualitative research** (interviews, ethnography), since trust is domain-specific and survey responses are prone to social-desirability bias.