Quantitative UX Research Fundamentals
Master the essential quantitative methods to elevate your UX research and drive data-informed design decisions.
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Descriptive and Inferential Statistics for UX
Unit 1: Descriptive Statistics Fundamentals
Stats in UX: An Intro
Scales of Measurement
Measures of Central Tendency
Dive into Data Dispersion
Visualizing Distributions
Unit 2: Inferential Statistics for UX
Hypothesis Testing Intro
T-Tests: Comparing Means
ANOVA: Group Comparisons
P-Values Demystified
Statistical Power
Predictive Modeling and A/B Testing
Unit 1: Regression Models for UX Prediction
Intro to Regression
Simple Linear Regression
Multiple Regression
Regression Assumptions
Unit 2: A/B Testing Fundamentals
A/B Testing Intro
Hypothesis Formulation
A/B Test Design
Analyzing A/B Results
Iterating on A/B Tests
Pitfalls to Avoid
User Segmentation and Qualitative Data Analysis
Unit 1: Introduction to User Segmentation
Why Segment Users?
Segmentation Approaches
Unit 2: Clustering Techniques for UX
K-Means Clustering Intro
Choosing the Right K
Preparing Data for K-Means
Unit 3: Qualitative Data Analysis with NLP
NLP for UX: The Basics
Sentiment Analysis
Topic Modeling
Cleaning Text Data
Data Visualization for UX Insights
Unit 1: Fundamentals of Data Visualization in UX
Why Visualize UX Data?
Choosing the Right Chart
Data Prep for Visualization
Unit 2: Common UX Data Visualizations
Heatmaps: Visualizing Hotspots
User Flows: Mapping Journeys
Funnel Analysis
A/B Testing Visualizations
Unit 3: Advanced Visualization Techniques and Tools
Dashboard Design Principles
Interactive Visualizations
Storytelling with Data