When conducting UX research, selecting the right participants is crucial. The quality of your insights depends on how well your participants match the target user profile. This is where screener questions come in. They help filter out unsuitable candidates and ensure you gather relevant data from the right people. Including effective screener questions saves time, reduces bias, and improves the overall success of your research. This post covers 10 essential UX research screen

Recruiting the right participants is crucial for successful user experience (UX) research. Without the right people, your findings may not reflect real user needs, leading to flawed designs and wasted resources. A well-crafted UX screener template helps you identify and select participants who truly match your target audience. This post explains how to build an effective UX screener template that ensures you recruit ideal participants every time. UX screener form displayed on

Validating information architecture (IA) is crucial to ensure users can navigate a website or app intuitively. One of the most reliable methods for this validation is tree testing. However, without a clear research plan, tree testing can become inefficient and yield unclear results. This post explains how to create a practical tree test research plan template that guides you through IA validation with confidence. Tree structure diagram on screen What Is Tree Testing and Why I

Creating a clear and practical evaluative research plan is essential for gathering meaningful data and making informed decisions. Whether you are assessing a program, product, or service, a well-structured plan guides your research process and ensures you focus on the right questions. This post breaks down the key components of an evaluative research plan template, offers examples, and shares best practices to help you design your own. Detailed research plan document on desk

Creating a generative research plan can feel overwhelming without a clear roadmap. Yet, this type of research is essential for uncovering user needs, motivations, and behaviors before designing solutions. A well-crafted plan guides your team through the process, ensuring you gather meaningful insights that shape better products or services. This guide breaks down the steps to build a thorough generative research plan that delivers actionable results. Planning generative resea

Creating a research plan can feel overwhelming, especially when time is tight. Yet, a clear plan is essential for guiding your study, organizing your thoughts, and setting achievable goals. What if you could draft a solid research plan in just 10 minutes? Thanks to advances in artificial intelligence, this is now possible. This post will walk you through how to quickly build an effective research plan using AI tools, saving you time and improving your focus. Quick research pl

Creating a solid UX research plan is essential for designing products that truly meet user needs. Without a clear plan, research efforts can become scattered, wasting time and resources. This post walks you through how to build an effective UX research plan, with practical steps and a downloadable template to guide your process. A UX research workspace with notes and sketches Why a UX Research Plan Matters A UX research plan acts as a roadmap for your project. It helps you de

By Philip Burgess | UX Research Leader Research today moves faster than ever, and artificial intelligence plays a key role in helping scholars, scientists, and students manage data, analyze results, and generate insights. Choosing the right AI tools can save time, improve accuracy, and open new possibilities in research. This post highlights some of the best AI tools available in 2025 that are worth using for various research tasks. Researcher working with AI software on lapt

By Philip Burgess | UX Research Leader User experience (UX) research is essential for creating products that truly meet user needs. Recently, artificial intelligence (AI) tools have become popular for speeding up data analysis and generating insights. While AI offers clear benefits, relying too heavily on it in UX research can lead to serious pitfalls. This post explores why depending too much on AI can harm the quality of UX research and what researchers should keep in mind