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Learning path

UX Research learning path: everything to study, topic by topic

Comprehensive UX Research assessment covering research fundamentals, qualitative and quantitative methods, usability testing, heuristic evaluation, accessibility research, research strategy, mixed methods, stakeholder management, research operations, and research democratization.

Short answer

To learn UX Research, work through 6 modules and 22 topics in the order they build on each other. It starts with Research Fundamentals, then moves on to Qualitative Methods and Quantitative Methods. Use the map as a checklist, or measure your level and study only what is missing.

6
modules
22
topics
45
min to assess

What you will study

Topics are grouped by module. Open one to see its objectives and key concepts.

1 · Research Fundamentals4 topics
  • Research Methods Overview

    Introduction to UX research methods, when to use qualitative vs quantitative approaches, generative vs evaluative research, attitudinal vs behavioral data, and the research landscape

    Objectives

    • Distinguish between qualitative and quantitative research methods
    • Select appropriate methods based on research goals

    Key concepts

    • qualitative vs quantitative
    • generative vs evaluative
    • attitudinal vs behavioral
    • exploratory research
    • formative research
    • summative research
    • triangulation
  • Research Ethics

    Ethical principles in UX research, informed consent, data privacy, participant protection, vulnerable populations, IRB considerations, and GDPR compliance

    Objectives

    • Apply ethical principles to research planning and execution
    • Create informed consent forms that protect participant rights

    Key concepts

    • informed consent
    • data privacy
    • participant confidentiality
    • vulnerable populations
    • research bias mitigation
    • ethical review boards
    • GDPR compliance
    • data retention policies
  • Research Questions & Hypotheses

    Framing effective research questions, formulating hypotheses, defining success metrics, operationalizing variables, scope management, and aligning questions with business goals

    Objectives

    • Write clear and answerable research questions
    • Formulate testable hypotheses from business problems

    Key concepts

    • research question framing
    • hypothesis formulation
    • dependent vs independent variables
    • operationalization
    • scope definition
    • business alignment
  • Participant Recruitment

    Screening criteria design, recruitment channels, sample size determination, incentive strategies, scheduling logistics, and managing no-shows

    Objectives

    • Design screening criteria that identify representative participants
    • Determine appropriate sample sizes for different research methods

    Key concepts

    • screening criteria
    • recruitment channels
    • sample size
    • incentive design
    • quota sampling
    • snowball sampling
    • panel providers
    • participant databases
2 · Qualitative Methods4 topics
  • User Interviews

    Semi-structured interview design, interview guide creation, probing techniques, active listening, rapport building, note-taking strategies, and interview analysis

    Objectives

    • Design and conduct semi-structured user interviews
    • Analyze interview data using thematic analysis

    Key concepts

    • semi-structured interviews
    • interview guide design
    • open-ended questions
    • probing techniques
    • active listening
    • rapport building
    • thematic analysis
    • affinity diagramming
  • Contextual Inquiry

    Field observation techniques, master-apprentice model, contextual design methodology, work modeling, environment mapping, and interpreting situated behavior

    Objectives

    • Plan and conduct contextual inquiry studies in real environments
    • Create work models from contextual data

    Key concepts

    • contextual inquiry principles
    • master-apprentice model
    • work modeling
    • flow model
    • cultural model
    • artifact model
    • interpretation sessions
  • Diary Studies

    Longitudinal research design, diary study protocols, participant engagement strategies, experience sampling, data coding, and analyzing behavior over time

    Objectives

    • Design diary study protocols that maintain participant engagement
    • Analyze longitudinal qualitative data for behavioral patterns

    Key concepts

    • longitudinal research
    • diary study protocol
    • experience sampling method
    • participant compliance
    • data coding
    • temporal patterns
    • attrition management
  • Focus Groups

    Focus group facilitation, discussion guide design, group dynamics management, dealing with dominant participants, consensus building, and limitations of group research

    Objectives

    • Facilitate productive focus group sessions
    • Recognize and mitigate group dynamics biases

    Key concepts

    • focus group facilitation
    • discussion guide design
    • group dynamics
    • dominant participant management
    • groupthink mitigation
    • moderator techniques
3 · Quantitative Methods4 topics
  • Surveys & Questionnaires

    Survey design principles, question types and scales, Likert scales, SUS, NPS, CSAT, response bias mitigation, survey distribution, and result analysis

    Objectives

    • Design unbiased survey instruments with appropriate scales
    • Interpret standardized UX metrics like SUS and NPS

    Key concepts

    • survey design principles
    • Likert scales
    • SUS (System Usability Scale)
    • NPS (Net Promoter Score)
    • response bias
    • question order effects
    • pilot testing
    • response rates
  • Analytics & UX Metrics

    Behavioral analytics, UX metrics frameworks (HEART, PULSE), task success rates, time on task, error rates, click-through rates, and funnel analysis

    Objectives

    • Select and define appropriate UX metrics for product goals
    • Interpret behavioral analytics to identify usability issues

    Key concepts

    • HEART framework
    • task success rate
    • time on task
    • error rate
    • click-through rate
    • funnel analysis
    • behavioral analytics
    • conversion metrics
  • A/B Testing

    Experimental design for UX, hypothesis-driven testing, sample size calculation, statistical significance, multivariate testing, and interpreting results

    Objectives

    • Design valid A/B tests with proper controls and sample sizes
    • Interpret statistical results and communicate findings to stakeholders

    Key concepts

    • experimental design
    • control vs treatment
    • statistical significance
    • sample size calculation
    • p-values
    • effect size
    • multivariate testing
    • false positives
  • Statistical Analysis for UX

    Descriptive statistics, confidence intervals, t-tests, chi-square tests, correlation analysis, regression basics, and practical significance vs statistical significance

    Objectives

    • Apply appropriate statistical tests to UX research data
    • Distinguish between practical and statistical significance

    Key concepts

    • descriptive statistics
    • confidence intervals
    • t-tests
    • chi-square tests
    • correlation analysis
    • practical significance
    • non-parametric tests
4 · Usability & Testing4 topics
  • Usability Testing Methods

    Moderated usability testing, think-aloud protocol, task design, severity ratings, finding patterns, reporting results, and benchmarking

    Objectives

    • Plan and moderate usability tests with valid task scenarios
    • Categorize and prioritize usability findings by severity

    Key concepts

    • moderated usability testing
    • think-aloud protocol
    • task scenario design
    • severity ratings
    • usability finding patterns
    • benchmarking
    • completion rates
    • retrospective probing
  • Heuristic Evaluation

    Nielsen's heuristics, cognitive walkthrough, expert review methods, severity classification, competitive analysis, and UX audit frameworks

    Objectives

    • Conduct heuristic evaluations using established frameworks
    • Prioritize usability issues based on severity and impact

    Key concepts

    • Nielsen's 10 heuristics
    • cognitive walkthrough
    • expert review
    • severity classification
    • competitive UX analysis
    • UX audit framework
  • Accessibility Research

    Inclusive research practices, testing with assistive technologies, WCAG evaluation, disability-informed design, recruiting participants with disabilities, and accessibility audits

    Objectives

    • Design research studies that include participants with disabilities
    • Evaluate products against accessibility standards and guidelines

    Key concepts

    • inclusive research
    • assistive technology testing
    • WCAG compliance evaluation
    • screen reader testing
    • cognitive accessibility
    • accessibility audit
    • disability-informed design
  • Remote & Unmoderated Testing

    Remote testing platforms, unmoderated study design, task instructions for async testing, video analysis, click testing, tree testing, and card sorting

    Objectives

    • Design effective unmoderated remote usability studies
    • Select appropriate remote research tools for different study types

    Key concepts

    • remote usability platforms
    • unmoderated study design
    • task instruction writing
    • video analysis
    • click testing
    • tree testing
    • card sorting
    • first-click analysis
5 · Research Strategy3 topics
  • Research Planning & Roadmaps

    Research program design, roadmap alignment with product strategy, prioritization frameworks, resource allocation, timeline estimation, and research portfolio management

    Objectives

    • Create research roadmaps aligned with product strategy
    • Prioritize and allocate resources across a research portfolio

    Key concepts

    • research roadmap design
    • product strategy alignment
    • prioritization frameworks
    • resource allocation
    • timeline estimation
    • research portfolio management
  • Mixed Methods Research

    Combining qualitative and quantitative approaches, sequential and concurrent designs, triangulation strategies, synthesis frameworks, and integrated reporting

    Objectives

    • Design mixed methods studies that leverage qual and quant strengths
    • Synthesize findings from multiple data sources into coherent insights

    Key concepts

    • mixed methods design
    • sequential explanatory design
    • concurrent triangulation
    • convergent design
    • data integration
    • synthesis frameworks
  • Stakeholder Management

    Communicating research findings, executive presentations, building research advocacy, managing conflicting priorities, influence without authority, and research ROI

    Objectives

    • Present research findings to executive stakeholders effectively
    • Build organizational advocacy for research-driven decisions

    Key concepts

    • research storytelling
    • executive presentations
    • research advocacy
    • influence without authority
    • conflicting priorities
    • research ROI
    • organizational buy-in
6 · Research Operations3 topics
  • Research Repository & Knowledge Management

    Building and maintaining research repositories, taxonomy design, insight tagging, searchability, knowledge reuse, and preventing redundant studies

    Objectives

    • Design and implement research repositories that enable knowledge reuse
    • Create taxonomies that make research findings discoverable

    Key concepts

    • research repository design
    • taxonomy and tagging
    • insight management
    • knowledge reuse
    • searchability optimization
    • metadata standards
    • deduplication strategies
  • Research Democratization

    Empowering non-researchers to conduct research, training programs, quality guardrails, templates and toolkits, governance models, and scaling research capacity

    Objectives

    • Design research democratization programs with quality safeguards
    • Create governance models that scale research without sacrificing rigor

    Key concepts

    • research democratization
    • training programs
    • quality guardrails
    • research templates
    • governance models
    • scaling research
    • self-service research
  • Measuring Research Impact

    Research impact metrics, outcome tracking, influence mapping, cost-benefit analysis, research maturity models, and demonstrating ROI of research programs

    Objectives

    • Define and track metrics that demonstrate research program impact
    • Build research maturity models for organizational growth

    Key concepts

    • research impact metrics
    • outcome tracking
    • influence mapping
    • research maturity model
    • cost-benefit analysis
    • research program ROI

Levels: Junior, Mid, Senior, and Expert

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Frequently asked questions

Where should I start studying UX Research?

Start with Research Fundamentals: Research Methods Overview, Research Ethics, and Research Questions & Hypotheses. The map orders topics by what they depend on, so each one prepares the next.

How long does a full UX Research assessment take?

A full assessment of this path takes about 45 minutes. Study time depends on where you start; a diagnostic shows which topics you can skip.

Do I need an account to use this page?

No. The map, objectives and key concepts are open. You only need an account to be measured, get your gap by topic and receive a plan.