Back
Research Methodology
How CR-UX standards are developed and validated
Data Collection
Our research draws from multiple data sources to ensure accuracy and relevance.
- •Creator valuation analyses across platforms
- •Profile audits from brand-ready creators
- •Industry surveys and expert interviews
- •Published industry research and reports
Analysis Process
Quantitative Analysis
Statistical analysis of engagement metrics, follower growth patterns, and conversion rates.
Heuristic Evaluation
Expert review against established UX principles and platform-specific best practices.
AI-Assisted Analysis
Machine learning models trained on successful creator profiles to identify patterns.
Confidence Levels
Each finding is assigned a confidence level based on sample size and consistency.
High ConfidenceLarge sample size (N>1000) with consistent results across regions
Medium ConfidenceModerate sample (N>100) with some regional variation
Low ConfidenceLimited data or emerging pattern requiring further validation
Severity Scale
Guidelines are categorized by their impact on brand partnership outcomes.
CriticalImmediately disqualifying for brand partnerships
HighSignificantly reduces partnership opportunities
MediumMay affect some brand decisions
LowMinor optimization opportunity
Validation Process
All findings go through a rigorous validation process before publication.
- 1Form hypothesis based on initial data analysis
- 2Collect and analyze supporting data from multiple sources
- 3Expert review by industry professionals
- 4Publish with confidence rating and methodology notes
Transparency Commitment
We believe in open research and transparent methodology.
- •Sample sizes are disclosed for all benchmarks
- •Confidence levels reflect data quality
- •Research is updated quarterly with new data
- •Known limitations are explicitly documented