---
id: "question-measuring-ai-team-effectiveness"
type: "open-question"
source_timestamps: ["§ Enabling the Team to Thrive"]
source_url: "https://hbr.org/2026/02/how-to-foster-psychological-safety-when-ai-erodes-trust-on-your-team"
source_title: "How to Foster Psychological Safety When AI Erodes Trust on Your Team"
tags: ["metrics", "evaluation", "future-of-work"]
related: ["framework-ai-integration-principles"]
resolutionPath: "Development of new organizational metrics that quantify psychological safety, trust calibration, and collaborative efficiency in hybrid human-AI teams."
sources: ["adoption"]
sourceVaultSlug: "hbr-seg-adoption"
originDay: 9
articleStem: "hbr-cl-79-psychological-safety-ai-trust"
sourceUrl: "https://hbr.org/2026/02/how-to-foster-psychological-safety-when-ai-erodes-trust-on-your-team"
sourceTitle: "How to Foster Psychological Safety When AI Erodes Trust on Your Team"
---
# How Do We Measure Holistic AI-Team Effectiveness?

**Open question.** The authors argue that AI-integration success must be measured **not just by AI-performance metrics** (time saved, tasks automated) **but by overall team effectiveness, learning velocity, and the ability to leverage both human and artificial intelligence optimally.**

**The gap.** The text does **not** provide specific, quantitative KPIs or frameworks for measuring "learning velocity" or "optimal leverage" in a human-AI team context. This is the unresolved edge of the [[framework-ai-integration-principles|integration framework]].

**Resolution path.** Develop new organizational metrics that quantify [[prereq-psychological-safety-d79|psychological safety]], trust calibration, and collaborative efficiency in hybrid human-AI teams.

**Enrichment (candidate instruments):** Edmondson's 7-item psychological-safety scale is a natural starting point for the voice/safety dimension. An arXiv study suggests psychological safety predicts *initial* AI engagement but not *usage intensity*, implying **different metrics are needed for early vs. mature phases** of adoption — a key nuance for anyone building a measurement program here.


## Related across articles
- [[claim-traditional-training-metrics-fail]]
- [[question-measuring-ai-roi]]