Untitled spreadsheet - Sheet1 (1).csv

Criteria,Quantitative,Qualitative,A/B Testing,A/A/B Testing,Fake Door Testing,Side-by-Side Testing,Cohort Analysis,Mixed Methods Approach,“Statistical, Numerical”,“Interpretive, Exploratory”,Experimental,Experimental,Experimental,Comparative,Time-Segmented Analysis,Combination of Methods Data Type,N...

Criteria,Quantitative,Qualitative,A/B Testing,A/A/B Testing,Fake Door Testing,Side-by-Side Testing,Cohort Analysis,Mixed Methods Approach,“Statistical, Numerical”,“Interpretive, Exploratory”,Experimental,Experimental,Experimental,Comparative,Time-Segmented Analysis,Combination of Methods Data Type,Numerical,“Textual, Visual”,“Numerical, Categorical”,“Numerical, Categorical”,“Categorical, Behavioral”,“Numerical, Categorical”,“Numerical, Behavioral”,Both Numerical and Textual Goal,“Generalizability, Prediction”,“Understanding, Exploration”,“Optimization, Comparison”,“Optimization, Comparison”,Interest Validation,“User Preference, Comparison”,User Behavior over Time,Comprehensive Understanding Tools/Techniques,“Surveys, Experiments”,“Interviews, Observations”,“Split URL, Multivariate”,Extended A/B Testing,“Landing Pages, Analytics”,User Interface Tools,Behavioral Analytics,“Surveys, Interviews” Sample Size,Large,Small to Moderate,Moderate to Large,Moderate to Large,Moderate,Moderate,Varies,Varies Analysis,Statistical Analysis,Thematic Analysis,Statistical Comparison,Statistical Comparison,Behavioral Analysis,“User Feedback, Statistical”,Behavioral Trends Analysis,Multi-Method Analysis Time Frame,May Require More Time,Often Quicker,Short to Medium-Term,Short to Medium-Term,Short-Term,Short to Medium-Term,Long-Term,Varies When to Use,- When Needing to Quantify a Problem or Solution. - When Generalizable Results are Desired.,- When Needing to Explore a Problem or Generate Hypotheses. - When Deeper Understanding is Required.,- When Comparing Two or More Versions of a Page/Feature. - When Optimizing Features for Performance.,- When Validating a New Variant Against Two Controls. - When a More Rigorous Validation is Required.,- When Testing User Interest in a Feature Before Development. - When Validating Assumptions with Minimal Resources.,- When Comparing User Preference Between Two or More Versions. - When Seeking Direct User Feedback on Variants.,- When Analyzing User Behavior Over Time. - When Identifying Trends and Patterns in User Engagement.,- When Both Numerical and Textual Understanding is Needed. - When a Holistic View is Required.