---
id: "concept-applied-curiosity"
type: "concept"
source_timestamps: ["§ Applied curiosity"]
tags: ["experimentation", "learning"]
related: ["framework-shape-index", "action-hire-for-uncoachable"]
definition: "The practice of combining systematic scanning with disciplined, cost-effective experimentation to separate AI signal from hype."
source_url: "https://hbr.org/2025/09/what-companies-with-successful-ai-pilots-do-differently"
source_title: "What Companies with Successful AI Pilots Do Differently"
sources: ["execution"]
sourceVaultSlug: "hbr-seg-execution"
originDay: 8
articleStem: "hbr-foci-60-successful-ai-pilots"
sourceUrl: "https://hbr.org/2025/09/what-companies-with-successful-ai-pilots-do-differently"
sourceTitle: "What Companies with Successful AI Pilots Do Differently"
---
# Applied Curiosity (SHAPE)

## Applied Curiosity — the 'A' in [[framework-shape-index|SHAPE]]

The combination of systematic scanning and disciplined experimentation to separate signal from hype.

**Definition:** The practice of combining systematic scanning with disciplined, cost-effective experimentation to separate AI signal from hype.

### What high performers do
- Run **fast, cost-effective tests with clear learning objectives**
- **Filter hype** by asking whether a tool solves *their* specific problem
- **Personally engage** in experimentation rather than delegating it entirely

### What low performers do
- **Chase shiny objects**
- **Experiment without drawing conclusions**
- **Rely on others** to explore

### Coachability
Like strategic agility and human centricity, applied curiosity is considered one of the **least coachable** dimensions, which is why the authors advise [[action-hire-for-uncoachable|acquiring it through external hiring]]. Note the distinction from the [[concept-experimentation-trap]]: applied curiosity is *disciplined* experimentation with conclusions, whereas the trap is aimless testing that never scales.