Editing Research:Question-01-Factor-Performance-Correlation (section)

=== Critical Framework Modifications Required ===

**Experience Level Interactions:**
The AI tool research reveals that factor importance varies dramatically by experience level, with traditional assumptions about experience-performance relationships being challenged. Junior developers show stronger correlations with certain factors (adaptability, tool proficiency) while senior developers show stronger correlations with others (strategic thinking, domain expertise).

**Context-Dependent Factor Weighting:**
The research consistently shows that optimal factor weightings vary by:
- Task complexity (simple vs. complex tasks show different factor importance patterns)
- Organizational context (startup vs. enterprise environments prioritize different factors)  
- Technology environment (AI-augmented vs. traditional development requires different factor emphasis)
- Industry domain (regulated vs. unregulated industries show different success patterns)

**Temporal Factor Evolution:**
The studies reveal that factor importance changes over time within individual careers and across industry evolution. What predicts success for developers in 2020 may not predict success in 2025, particularly with AI tool integration.