“I’m more of a qualitative type.”Hands up if you’ve ever said that. Probably most of us. And honestly, it’s often true. Conducting interviews, moderating usability tests, understanding user needs – that’s where many UX professionals shine.

But here’s the problem: sooner or later, someone in a meeting asks for numbers. Sample sizes. Statistical significance. Data-based evidence.

And suddenly the room goes quiet.

Not because you have nothing to say – but because you lack the tools to support your insights with quantitative evidence.

Time to change that.

In this workshop, you won’t learn statistics for the sake of statistics. Instead, you’ll get a practical overview of the quantitative methods that actually matter in everyday UX work – clearly explained, immediately applicable, and without formulas on a whiteboard.

Why You Should Attend

No more “numbers blackout”

Learn how to use quantitative data so your research results stand up even in executive meetings – without endless explanations.

No statistics lecture – promised

All methods are explained through real UX questions and case examples. Practical, understandable, and directly applicable.

Qualitative and quantitative are not opposites

Learn how to combine both approaches so your research becomes more robust and your arguments stronger.

Learn from someone who understands both worlds

Tara studied statistics and has been working in UX for over 25 years. This combination is rare – and makes a big difference in how the material is taught.

Immediately applicable

You won’t leave with theoretical knowledge but with a practical methods toolkit you can use the very next day.

What to Expect

Foundations of Quantitative Research in UX

Before diving into methods, we establish the foundation. It may sound theoretical, but this is where you understand why some studies are reliable – and others aren’t.

Topics include:

• Differences and synergies between qualitative and quantitative research

• When quantitative methods are useful – and when they’re not worth the effort

• Scientific basics: hypotheses, variables, measurement scales

• Quality criteria: reliability, validity, objectivity – and what really matters in practice

Data Collection and Sampling

Garbage in, garbage out – the quality of your data determines everything that follows.

Topics include:

• Fundamentals of sampling and sample size

• Designing clean online surveys and quantitative user tests

• Avoiding biases (spoiler: most people don’t notice them)

• Data sources: from your own research to analytics data

Descriptive Statistics and Data Visualization

Preparing numbers so they reveal what is actually happening – not what we wish were happening.

Topics include:

• Means, medians, and standard deviations – and why the difference matters

• Understanding and interpreting frequency distributions

• Recognizing and interpreting correlations correctly (correlation ≠ causation)

• Best practices for visualizing quantitative UX data

• Communicating results effectively to different audiences

Foundations of Inferential Statistics

The part many people fear – unnecessarily, when explained properly.

Topics include:

• Core principles of statistical inference

• p-values, confidence intervals, and statistical significance – what they really mean

• A/B testing for UX questions: planning and evaluation

• Common statistical fallacies and how to avoid them

Multivariate Methods and Advanced Analysis

For those who want to go further – an overview of more powerful analytical tools.

Topics include:

• Regression analysis in the UX context

• Factor analysis for identifying latent constructs

• Cluster analysis for user segmentation and persona development

• MaxDiff analysis for feature prioritization

• Practical examples and interpretation guidance

Integrating Qualitative and Quantitative Methods

The real mastery lies in combining both approaches.

Topics include:

• Foundations of mixed-methods research design

• Using quantitative data to prepare qualitative research

• Quantifying qualitative insights

• Real-world examples of successful method integration

Practical Application and Tools

Ensuring what you learn doesn’t end up in a drawer.

Topics include:

• Overview of useful tools for quantitative UX research

• From Excel to specialized analytics software

• Integrating quantitative research into agile workflows

• Building your personal UX research methods toolkit

• Outlook: UX metrics and KPIs (SUS, NPS, task-based metrics)

Who This Seminar Is For

This workshop is designed for anyone who wants to feel more confident working with numbers in the UX context.

Whether you have worked mostly qualitatively or simply want a structured overview of quantitative methods, this seminar provides the tools you’ve been missing.

Especially suitable for:

• UX researchers who have mainly worked with qualitative methods

• UX designers who want to support their design decisions with data

• Product managers who want to better understand and use UX metrics

• UX managers building comprehensive research programs

• Professionals transitioning into UX who want to strengthen their quantitative skills