Experiment Frameworks in UX

Course overview

Course Objective The course Experiment Frameworks in UX covers the conception, planning, and evaluation of user-centered experiments in the context of digital product development. The aim is to impart methodological foundations for hypothesis formation, test design, and data evaluation for UX decisions. Structured approaches to prioritizing tests and selecting suitable frameworks such as A/B testing, multivariate testing, and iterative validation cycles are addressed. The course is situated in the field of User Experience Research and Product Discovery. Content Introduction to Experiment Frameworks: Definition, application areas in UX, roles, and interfaces to product management, design, and development Hypothesis formation and metric definition: Formulating testable assumptions, deriving independent and dependent variables, selecting quantitative and qualitative metrics Test design and variant development: Designing A/B and multivariate tests, determining sample sizes, randomization, sequencing, and test duration Execution and data collection: Implementing test variants, event and funnel tracking, logging, dealing with confounding factors and bias Evaluation and interpretation: Significance tests, effect sizes, confidence intervals, segment analyses, handling incomplete data and termination criteria Integration into product processes: Prioritization through experiment backlogs, documentation of results, handover to design and development, ethics, and data protection Learning Objectives - Identification of suitable experiment frameworks for specific UX questions - Conducting A/B and multivariate tests including sample planning and randomization - Creating measurable hypotheses with defined metrics and success criteria - Analyzing test data using significance testing, effect size estimation, and segmentation - Evaluating test results in terms of product decisions and follow-up steps - Implementing an experiment backlog and integrating results into development cycles Career Prospects The course content is applicable in fields such as UX Research, particularly in the planning and evaluation of user-based experiments. Typical areas of activity include Product Management with a focus on evidence-based prioritization and validation of product decisions. The course addresses content for activities such as conversion optimization and digital analytics with an emphasis on test design, measurement, and interpretation. Summary The course Experiment Frameworks in UX addresses the planning, execution, and evaluation of user-centered experiments for decision-making in product development. In this training, hypothesis formation, test design, measurement concepts, and data interpretation are integrated into the UX process. The topics covered are applicable in fields such as UX Research, Product Management, as well as conversion optimization and digital analytics.

Upcoming dates

• 2026-08-02T22:00:00.000Z · 2027-01-20T23:00:00.000Z · Leipzig · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-10-26T23:00:00.000Z · Leipzig · Combined Learning
• 2026-08-31T22:00:00.000Z · 2027-02-18T23:00:00.000Z · Leipzig · Combined Learning
• 2026-08-31T22:00:00.000Z · 2026-11-24T23:00:00.000Z · Leipzig · Combined Learning