UX ResearchResearch MethodsToolsMethodology
Research Method Explorer
An interactive tool that guides you to the right UX research method based on your goals, constraints, and context.
By Marc Busch·Mar 19, 2026
ReadThe Knowledge Hub
Methods, Guides, and Strategic Insights. Evidence-based resources to elevate your research practice.
Filter by topic:
52 articles(showing 1-12)
Sample SizeMethodologyQuantitativeQualitativeStatistics
Sample Size Calculator — Tool and Explanations
An interactive sample size calculator for UX research, with the statistical foundations explained — from binomial problem discovery to power analysis.
By Marc Busch·Mar 7, 2026
ReadData QualityParticipant RecruitmentResearch Methodology
Our Approach to Data Quality
Four pillars that protect your data: verified participants, respectful experience, study review before launch, and continuous quality monitoring.
By Marc Busch·Feb 25, 2026
ReadMeasurementQuantitative
UX Measurement Instruments: Scales, Scores, and What They Actually Measure
Standardized measurement instruments provide benchmarks and comparability. But using them effectively requires understanding what each one actually measures, and what it does not.
By Marc Busch·Sep 23, 2024
ReadPlanning
Understanding Research Scope: Layers of Experience
Before you begin any study, you must define its scope. This involves identifying the Layer of Experience you will focus on, from broad customer journey down to individual task steps.
By Marc Busch·Sep 16, 2024
ReadCareerAI
Building a Research Career in the Age of AI
AI is transforming what researchers do daily, but it amplifies rather than replaces the core value researchers provide. Understanding which skills remain essential and how to grow them is critical for career development in this changing landscape.
By Marc Busch·Sep 9, 2024
ReadAIToolsResearch Ops
Evaluating AI Research Tools: A Durable Framework
The AI landscape changes weekly. Rather than chasing specific tools, you need a durable framework for evaluating any platform against principles that will not change: privacy, transparency, portability, and reproducibility.
By Marc Busch·Aug 26, 2024
ReadAIAnalysis
What AI Can and Cannot Do for UX Research
AI is not going to take your job, but it is absolutely going to change it. Understanding what LLMs actually are, and are not, is the foundation for using them effectively.
By Marc Busch·Aug 19, 2024
ReadAIAnalysis
Advanced AI Techniques for Research
Beyond basic prompting, there are techniques that dramatically improve AI reliability: structured communication, using notes over transcripts, treating models as a committee of raters, and understanding when RAG or fine-tuning makes sense.
By Marc Busch·Aug 12, 2024
ReadToolsResearch Ops
Research Tools and the ResTech Landscape
The research technology (ResTech) landscape has exploded with specialized tools for every phase of the research process. Understanding this ecosystem helps you choose tools that amplify your capabilities without creating dependency or replacing critical thinking.
By Marc Busch·Aug 5, 2024
ReadAIAnalysisQualitative
AI-Assisted Thematic Analysis: A Practical Workflow
The biggest mistake teams make with AI is treating it like a magic black box. Here is a complete, reliable workflow for using LLMs as research assistants while maintaining critical human oversight.
By Marc Busch·Jul 29, 2024
ReadData ScienceQuantitativeTriangulation
Partnering with Data Science: The Quant-Qual Collaboration
The most powerful insights rarely come from a single source. They emerge from the strategic partnership between UX research and Data Science, fusing deep contextual understanding with patterns identified at massive scale.
By Marc Busch·Jul 15, 2024
ReadNEED EXPERT GUIDANCE?
Our team can help you apply these methods to your specific challenges. Book a complimentary strategy session.
Book Strategy Session