PHILIP BURGESS

Breaking Into UX Research from Academia For decades, academia has produced some of the most rigorous thinkers in the world. People trained to ask precise questions. Design careful studies. Challenge assumptions. And pursue truth with discipline. It’s no surprise that many academics look toward UX Research as a natural transition. After all, UX Research values curiosity, rigor, and understanding human behavior. But there’s one critical shift that surprises many academics whe

When users face important choices, the design of the experience can make or break their confidence and satisfaction. High-stakes decisions often involve financial commitments, health concerns, or critical personal information. In these moments, understanding user behavior and needs is essential to create interfaces that guide users clearly and reduce errors. This post explores effective UX research methods tailored to uncover insights that support users making high-stakes dec

User experience (UX) research plays a crucial role in designing products that meet real user needs. Yet many teams struggle to apply research methods consistently or effectively. A well-crafted UX research method playbook can bridge this gap by providing clear guidance that teams actually use. This post explains how to create such playbooks with practical examples to help your team adopt and benefit from UX research. UX Research Method Playbooks Why UX Research Method Playboo

Artificial intelligence is reshaping many fields, and UX research is no exception. As AI tools become more capable, they challenge long-standing methods and habits in user experience research. This change is not about losing the value of UX research but about letting go of outdated practices that no longer serve the evolving landscape. Understanding what AI will force UX research to leave behind helps professionals adapt and focus on what truly matters. What AI Will Force UX

Leadership often brings to mind images of authority, decision-making, and being at the forefront. Yet, one of the most effective leadership styles asks leaders to do something quite different: step back. Servant leadership focuses on serving others first, putting the needs of the team before personal ambition. This approach requires humility, trust, and the willingness to empower others by giving them space to grow and lead. Understanding how stepping back can strengthen lead

Creating a UX insight library is essential for teams aiming to capture, organize, and reuse valuable user experience knowledge. Without a clear structure, insights can become scattered, lost, or difficult to apply in future projects. A well-designed UX insight library template helps teams save time, improve design decisions, and maintain consistency across products. This post explores how to build an effective UX insight library template that supports knowledge reusability. I

Research plays a crucial role in shaping products, services, and experiences. Yet, not all research serves the same purpose. Two main types often come up in design, product development, and user experience fields: generative research and evaluative research. Knowing how these two differ helps teams choose the right approach at the right time, leading to better decisions and outcomes. Understanding the Key Differences Between Generative and Evaluative Research What Is Generati

User experience (UX) metrics often overwhelm teams with data, but not all metrics hold equal weight for executives. Leaders want clear, actionable insights that connect UX efforts to business goals. This post highlights the UX metrics that truly capture executive attention and stick in their memory. Understanding these metrics helps UX professionals communicate value effectively and influence decision-making. UX Metrics Executives Actually Care About and Remember Why Some UX

Understanding how people act and make decisions can unlock powerful opportunities for any organization. Behavioral data reveals patterns in customer actions, preferences, and habits. When used correctly, this data helps businesses make smarter decisions, improve products, and tailor experiences that truly resonate. This post explains how to collect, analyze, and apply behavioral data to gain clear strategic insights. How to Use Behavioral Data to Drive Strategic Insights What

Transforming raw data into a compelling case study can feel like solving a complex puzzle. You start with a mass of unorganized information, and your goal is to craft a clear, engaging story that highlights key lessons and results. This process requires more than just gathering facts—it demands careful analysis, thoughtful organization, and clear communication. This post explains how to turn raw findings into case study–ready insights that resonate with readers and deliver re

Understanding how users interact with products is essential for creating meaningful and successful experiences. Designing user experience (UX) research methods helps uncover real user needs, behaviors, and pain points. This process guides teams to build products that truly resonate with their audience. This post explores practical techniques for designing UX research methods that deliver clear, actionable insights. Whether you are new to UX research or looking to refine your

Usability plays a crucial role in user experience (UX) research. It directly impacts how easily and effectively users can interact with a product or service. When usability is strong, users feel confident, satisfied, and more likely to return. Poor usability, on the other hand, leads to frustration, errors, and abandonment. This post explores what usability means in UX research, highlights its key principles, and offers practical advice to improve it. Understanding Usability

Artificial intelligence (AI) offers powerful tools that can transform research strategies across industries. Yet, integrating AI into research requires careful planning to avoid risks such as data misuse, bias, and loss of human insight. Leaders face the challenge of balancing innovation with responsibility to ensure AI supports research goals safely and effectively. This post explores practical steps leaders can take to introduce AI into their research processes while mainta

Creating a culture where user experience (UX) efforts lead to clear, measurable results is a challenge many UX leaders face. Without measurable outcomes, teams struggle to prove the value of their work, and organizations miss opportunities to improve products based on real data. This post explores practical ways UX leaders can build a culture focused on measurable outcomes, helping teams deliver stronger results and gain greater influence within their organizations. Build a C

User experience research is essential for creating products that truly meet user needs. Yet, managing UX research projects can quickly become complex without the right tools and processes. ResearchOps, or Research Operations, helps teams organize, scale, and improve their UX research efforts. This post shares a comprehensive toolkit to support ResearchOps, including practical templates you can use right away. A UX research workspace with organized notes and tools What is Rese

Understanding how users interact with your product is essential for creating a satisfying experience. Collecting UX metrics helps identify pain points, measure success, and guide improvements. Choosing the right tools can make this process efficient and insightful. This post explores some of the best tools available to collect and analyze UX metrics, helping you make informed decisions based on real user data. Top Tools for Effective UX Metrics Collection and Analysis Why UX

Measuring user experience often focuses on dashboards filled with numbers and charts. Yet, these dashboards rarely translate into meaningful action for teams. The real challenge lies in designing UX metrics that support teams directly, helping them improve products and user satisfaction day by day. This post explores how to create UX metrics that serve teams, not just dashboards. Creating Effective UX Metrics That Empower Teams Over Dashboards Why UX Metrics Should Focus on T

User experience (UX) research has seen rapid advances thanks to artificial intelligence (AI). AI tools can analyze vast amounts of data quickly, identify patterns, and even predict user behavior. Yet, despite these strengths, human intuition remains essential in UX research. This post explores where human insight outperforms AI and why combining both approaches leads to the best results. Where Human Intuition Still Beats AI in UX Research Understanding Context and Emotions AI

User experience (UX) research relies heavily on gathering data from users to improve products and services. Choosing the right sampling method is crucial because it affects the quality and reliability of insights. Two common approaches are convenience sampling and probability sampling. Understanding the differences between these methods helps UX researchers make informed decisions that balance practicality and accuracy. Convenience vs. Probability Sampling in UX Research What