---
id: "question-junior-employee-baseline"
type: "open-question"
source_timestamps: ["\\\"§ Step 1. Establish an initial point of view", "so you have a basis for evaluating AI's output.\\\"", "§ Making Judgment Teachable"]
tags: ["apprenticeship", "novices"]
related: ["action-establish-pov"]
resolutionPath: "Empirical studies comparing the error-catch rates of junior vs senior employees using this framework over a longitudinal period."
sources: ["reskilling"]
sourceVaultSlug: "hbr-seg-reskilling"
originDay: 10
articleStem: "hbr-edu-32-help-employees-get-better-with-ai"
sourceUrl: "https://hbr.org/2026/06/help-employees-get-better-not-just-faster-with-ai"
sourceTitle: "Help Employees Get Better—Not Just Faster—with AI"
---
# How do novices form a valid initial POV?

**Open question:** How do novices form a valid initial point of view?

The [[framework-four-step-ai-development|four-step model]] requires an initial point of view to evaluate AI output (see [[action-establish-pov|establish a POV first]]). While the authors suggest asking the AI for orientation when a task is unfamiliar, it remains unresolved how a *truly junior employee* — one who lacks the [[concept-tacit-knowledge-d32|tacit knowledge]] of what 'good' looks like — can meaningfully challenge a highly polished AI output without simply deferring to the machine's authority.

**Resolution path:** Empirical studies comparing the error-catch rates of junior vs. senior employees using this framework over a longitudinal period. The enrichment overlay reinforces the concern: AI benefits vary by user skill and background, so the model may be *unequal in practice*, with novices struggling to form a credible viewpoint or detect subtle errors without stronger domain grounding [7].