Editing Research:Question-46-Experimental-Design-Human-AI-Collaboration (section)

=== Research Methodology Guidelines ===

The research findings provide specific guidance for designing human-AI collaboration experiments:

'''Multi-Method Integration Strategy:'''
* Combine multiple experimental approaches to capture different aspects of collaboration complexity
* Use controlled micro-studies for mechanistic understanding and hypothesis testing
* Employ naturalistic field experiments for ecological validity and practical relevance
* Implement longitudinal tracking for understanding temporal dynamics and sustainability

'''Measurement System Design:'''
* Build on DORA metrics foundation with AI-specific extensions for productivity assessment
* Integrate real-time analytics for micro-interaction understanding
* Include multi-stakeholder perspectives for comprehensive outcome assessment
* Employ multi-modal approaches combining quantitative metrics with qualitative insights

'''Context Sensitivity Planning:'''
* Explicitly model and account for organizational, project, and team contextual factors
* Design experiments with appropriate complexity levels for research objectives
* Plan for context-specific adaptation while maintaining measurement consistency
* Include cross-context validation components for generalizability assessment