Explore why collecting too much data can mislead decision-making, highlighting the limits of quantitative analysis and the risks of relying on lagging indicators in uncertain situations.

Abundant data pushes us toward quantitative answers to every problem

Explore the four main theories of truth—correspondence, coherence, consensus, and pragmatic—to understand how claims are evaluated and applied across cultures and disciplines.

Four theories of truth: correspondence, coherence, consensus and pragmatic

Learn how to determine the right number of qualitative interviews by considering research domain, participant diversity, and researcher experience to achieve data saturation efficiently.

How many users should you interview?

Learn how UX research methods are organized by attitudinal vs behavioural, qualitative vs quantitative, and context of use to uncover valuable user insights and improve product design.

A landscape of UX research methods

Learn how qualitative UX research focuses on data saturation over sample size to uncover key user insights and improve products through ongoing Agile feedback and diverse user interviews.

Qualitative researchers care more about data saturation than sample size (reading note)

Quantitative analysis can be biased and limited, as data selection and interpretation depend on human judgment and may overlook context and deeper understanding of human behavior.

Quantitative analysis is not inherently more reliable than qualitative data (reading note)

Measuring behavior often changes it, as people and organizations adjust actions to improve scores, making metrics unreliable and potentially harming long-term goals and trust.

Measuring behaviour changes behaviour (reading note)

Reducing human activity to numbers often loses important context and rich qualitative data, showing that quantitative measures alone can't fully capture complex human behavior and experiences.

Quant data is lossy (reading note)

Sensemaking is a humanities-based method that uses cultural understanding and empathy to interpret how people relate to their world, offering deep insights beyond data and algorithms.

Sensemaking (reading note)

Skeuomorphism is a design approach that mimics familiar objects to help users understand new technology, but it can also limit innovation by sticking to old models.

Skeuomorphism: familiar metaphors for new technology

Skeuomorphism in design uses real-life metaphors to shape digital tools, but this can limit how we understand and innovate with digital technology beyond physical constraints.

Skeuomorphic models can limit room for innovation

Learn why embracing uncertainty and spending more time understanding problems leads to better solutions by avoiding assumptions and applying thoughtful analysis in decision-making.

Spend more time in the problem space before you chase a solution

Discover the Triple S of UX—Simple, Secure, and Self-custodial designs that make Web3 easy and safe for users to access and control decentralized applications.

UX in Web3: simple, secure and self-custodial design

Learn how user research teams act as multipliers to share customer insights across organizations, enabling confident, customer-focused solutions through training, best practices, and collaboration.

User research teams as organizational multipliers

Learn how different UX research methods fit each product lifecycle phase to improve design, reduce risks, and ensure usability with effective discovery, exploration, testing, and listening techniques.

UX

2026

August (14 posts)

2022

August (1 posts)