Poorly designed qualitative or quantitative research may produce invalid results. Avoid encouraging certain responses or behaviors and make sure that your study conditions and participants are representative.
了解如何运行远程审核可用性测试。This second video covers how to actually facilitate the session with the participant and how to end with debrief, incentive, and initial analysis with your team.
In remote usability studies, it's hard to identify test participants who should not be in the study because they don't fit the profile or don't attempt the task seriously. This is even harder in unmoderated studies, but it can (and should) be done.
A simple method for visually identifying strong vs. weak themes in qualitative data from user research: by placing individual observations in a spreadsheet and color-coding them.
For most teams, approaching persona creation qualitatively is the right balance of effort vs. value, but very large or very small organizations might benefit from statistical or lightweight approaches, respectively.
了解如何运行远程审核可用性测试。This second video covers how to actually facilitate the session with the participant and how to end with debrief, incentive, and initial analysis with your team.
In remote usability studies, it's hard to identify test participants who should not be in the study because they don't fit the profile or don't attempt the task seriously. This is even harder in unmoderated studies, but it can (and should) be done.
A simple method for visually identifying strong vs. weak themes in qualitative data from user research: by placing individual observations in a spreadsheet and color-coding them.
Testing a small number of participants gives qualitative insights, which are great. But if 4 out of 5 test users do something, don't conclude that 80% of all users will do the same.
Users' answers to survey questions are often biased and not the literal truth. Examples include acquiescence bias, social desirability bias, and recency bias. Knowing about response biases will help you interpret survey data with more validity for any design decisions based on the findings.
Across 429 UX professionals, 71% of teams report performing some kind of quant UX research at least sometimes, and almost everyone reported struggling with challenges to get quant research done.
Radical redesigns are best tested using an A/B experiment, while multivariate tests indicate how various UI elements interact with each other and support incremental improvements to a design.
All usability studies involve asking participants to perform tasks, but the correct way to write those tasks depends on the methodology you’re using. Good quantitative tasks are concrete and focused, while good qualitative tasks are open-ended, flexible, and exploratory.
Writing good tasks for a usability study is an art, not a science, but there are still rules. Examine your tasks for these 10 common task-writing mistakes.
