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MasarUX
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ux-a05MasarUX ProAdvanced

Experimentation and Advanced UX Analytics

An advanced course in running A/B tests that survive real scrutiny: designing trustworthy experiments with a falsifiable hypothesis, honest statistical power, clean randomization, and real guardrails, reading behavioral data responsibly without falling for statistical traps or interaction effects, and building the organizational culture — peer review, self-serve tooling, institutional memory, and the discipline to know when not to test at all — that makes rigorous experimentation repeatable at scale.

12 hours (approximately)3 Levels · 30 Lessons
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By the end of this course you can design an A/B test rigorous enough to survive real scrutiny, read its result honestly without falling for a statistical trap or a hidden interaction effect, and help build the organizational culture — review, tooling, institutional memory, and the judgment to know when not to test at all — that makes that same rigor repeatable across a whole team or organization.

01How to design trustworthy A/B tests, including what actually changes once a real decision rides on a test's result, writing a precise and falsifiable hypothesis with a single primary metric chosen in advance, calculating honest statistical power and sample size, randomizing cleanly to prevent contamination between test and control, defining guardrail metrics with real thresholds before launch, avoiding common design pitfalls such as peeking, multiple comparisons, and novelty effects, telling a real segment-level effect from noise that only looks like one, using sequential testing and a written stopping rule that does not quietly inflate false positives, and tracing common mistakes back to the specific discipline each one reverses
02How to analyze behavioral data responsibly, including separating statistical significance from practical significance, recognizing p-hacking, Simpson's paradox, and regression to the mean before they distort a conclusion, catching interaction effects between concurrent tests and carryover effects between sequential ones, reporting a confidence interval and effect size honestly instead of a bare point number, telling a durable effect from one that decays after the test window ends, handling a null or inconclusive result as real information rather than a failure to bury, and documenting a result so a future team does not blindly re-run a question that already has an answer
03How to build a mature experimentation culture, including why qualitative insight remains necessary no matter how many tests a program runs, earning genuine organizational buy-in for a slower and more rigorous process, building a real pre-launch peer-review process rather than a report reviewed after the fact, balancing test velocity with test quality as a program grows, democratizing experimentation with self-serve tooling that has rigor built in rather than left to memory, building a real institutional-memory repository the whole organization actually consults, knowing when not to A/B test at all, and combining qualitative and quantitative evidence to decide what is actually worth testing in the first place
04How to trace a single continuous practice spanning rigorous test design, honest result analysis, and a mature experimentation culture together through a real, evolving fictional streaming service's pricing-page test, from its original design through its analysis to the organization-wide practice built around it
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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 Skills5 Course Skills
A/B Testing
Experiment Design
Experimentation Culture
Statistical Analysis
UX Analytics
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Career Path relationship
UX ResearcherAI Product Designer

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 directly on this curriculum's earlier advanced courses rather than repeating their ground
  • Every pattern is grounded in a concrete design decision, statistical check, or organizational practice, not abstract theory
  • Every lesson ends with a worked example you can practice on
  • Covers the full path from a single casually-run test to a rigorously designed, honestly analyzed, and organizationally repeatable experimentation practice
Who Is This Course For?
  • Advanced learners who have completed this curriculum's earlier advanced courses and are ready to move from running an A/B test to running an experimentation program
  • UX researchers and product analysts responsible for a test whose result will actually drive a budget, roadmap, or pricing decision
  • Product and data leads who need to build a review process, self-serve tooling, or an institutional-memory repository for a growing experimentation program
  • Anyone who has watched an organization ship a confident but wrong decision from a sloppy test and wants to prevent it happening again
Course Features
  • 30 short, focused lessons across 3 progressive levels
  • A graded quiz after every lesson and a 12-question exam per level
  • Three continuous worked examples (designing a rigorous pricing-page test, analyzing that same test's result rigorously, and a full course capstone spanning all three levels) for a fictional streaming service, Vantage, threaded through the closing lessons
  • Assumes prior advanced-level familiarity with UX practice — goes straight to decision-grade experiment design, honest result analysis, and organizational experimentation culture
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Course Completion Certificate

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