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MasarUX
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uxr-i04MasarUX ProIntermediate

Quantitative UX Research and Statistical Reasoning

Learn to read UX data honestly: choose quantitative or qualitative methods deliberately, define and measure UX metrics correctly, run descriptive statistics that hold up to scrutiny, interpret surveys and behavioral data without overclaiming, and apply A/B-test and significance reasoning to turn numbers into defensible UX decisions.

20 hours (approximately)3 Levels · 30 Lessons
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By the end of this Course, you can run defensible quantitative UX analysis end to end: define and measure the right metrics, apply descriptive and inferential statistics correctly, interpret surveys and experiments without overclaiming, and communicate quantitative findings and their limitations honestly to stakeholders.

01Choose between quantitative and qualitative research and define variables, measurement scales, and UX metrics correctly
02Calculate and interpret descriptive statistics — mean, median, mode, variability, distributions, and outliers — without being misled by a small or skewed sample
03Analyze survey and behavioral data: Likert scales, percentages, cross-tabulation, segmentation, funnels, cohorts, and group comparisons
04Distinguish confidence from certainty, correlation from causation, and statistical significance from practical, decision-worthy significance
05Run and interpret A/B tests: hypotheses, sample-size reasoning, outcomes, and false positives and negatives
06Combine quantitative and qualitative evidence, benchmark UX metrics, and communicate uncertainty to stakeholders without manipulating the numbers
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Curriculum

3 Levels · 30 Lessons

Assessment

Each Lesson may include a Quiz

Each Level may include an Exam

Completion requirements

Complete the available Lessons

Pass all configured Quizzes and Exams

Locked activities open only after their prerequisites are met

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Course Skills7 Course Skills
A/B Testing Fundamentals
Data-Driven UX Communication
Descriptive Statistics
Quantitative UX Analysis
Statistical Significance and Effect Size
Survey Data Analysis
UX Metrics Design
Related Competency Domains
Testing & Validation
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Career Path relationship
UX Researcher

Completed Course progress automatically counts toward the Career Path when this Course belongs to a Mission.

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What You'll Gain
  • Builds one practiced quantitative-reasoning skill set across 30 bilingual Lessons
  • Keeps every technique tied to a real UX decision, not abstract statistics theory
  • Separates a confident-sounding number from what the data can actually support at every step
  • Uses scenario-based assessments to rehearse real analyst judgment calls
Who Is This Course For?
  • Aspiring UX Researchers building core quantitative analysis and statistical reasoning skills
  • UX practitioners who read dashboards, surveys, or experiment results as part of their work
  • Product and design teams who want to interpret and challenge quantitative UX claims responsibly
  • Research Operations partners supporting bilingual, auditable quantitative reporting workflows
Course Features
  • 3 progressive Levels and 30 substantive bilingual Lessons
  • 30 Lesson Quizzes with 10 scenario-based questions each
  • 3 Level Exams with 15 transfer questions each
  • One structurally validated Practice Task testing statistical versus practical significance
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Course Completion Certificate

Awarded after the Course's configured completion requirements are met.