---
id: "claim-surveillance-backlash"
type: "claim"
source_timestamps: ["§ The Risks and Rewards Are Real", "¶5", "¶7"]
tags: ["employee-trust", "governance", "change-management"]
related: ["entity-meta", "quote-surveillance-sake", "concept-organizational-myopia", "entity-carrol-chang"]
confidence: "high"
testable: true
speakers: ["Sangeet Paul Choudary", "John Winsor", "Carrol Chang"]
sources: ["tail1"]
sourceVaultSlug: "hbr-seg-tail1"
originDay: 1
articleStem: "hbr-tail-112-continually-assessing-performance"
sourceUrl: "https://hbr.org/2026/06/the-pros-and-cons-of-continually-assessing-performance"
sourceTitle: "The Pros and Cons of Continually Assessing Performance"
---
# Continuous Assessment Fails If Perceived as Extractive Surveillance

**Claim** · confidence: **high** · testable: **yes**

Systems of continuous assessment will quickly lose legitimacy and trigger substantial internal backlash if employees experience them as **mandatory, opaque, and extractive**. The transition, the authors stress, is *ultimately a governance challenge, not a technological one* (per the enrichment).

**Evidence:** the authors cite [[entity-meta-d112]]'s recent backlash after installing software on U.S.-based employees' computers to capture mouse movements, clicks, keystrokes, and screenshots — even though Meta claimed the data was for training AI rather than evaluating performance.

**The remedy:** these systems must be paired with coaching, reskilling, and transparency. As [[entity-carrol-chang]] argues (see [[quote-surveillance-sake]]), *measurement without support creates fear, whereas assessment paired with support encourages workers to engage with change.*

This claim is the behavioral floor beneath [[concept-continuous-assessment]] and is tightly coupled to the metric-gaming risk in [[concept-organizational-myopia]] and the unresolved boundary in [[question-privacy-boundaries]].


## Related across articles
- [[claim-overrides-signal-design-flaws]]
- [[action-govern-ai-persona]]
