Getting Started with Statistics for UX
Statistical analysis and inferential thinking are applied in a myriad of UX research methods. If you are new to statistical methods don’t panic, in this article we will only discuss the use case scenarios of two frequently used statistical analyses and simplify their explanations as much as possible.
Getting Started with Statistics for UX
Statistical analysis and inferential thinking are applied in a myriad of UX research methods. If you are new to statistical methods don’t panic, in this article we will only discuss the use case scenarios of two frequently used statistical analyses and simplify their explanations as much as possible.
Are there any benefits to a forum/Q&A website to find out feedback and features of a website?
I am in the process of designing and developing a website for my local community. I am using tools such as surveys and interviews, but wondered if there is a technique that would involve users posting in a forum or Q&A website?
For exa…
A Look into Predictive Eye Tracking Tools
When you think of eye tracking you probably envision a clunky piece of hardware and the need to spend hours in a research lab with participants. Predictive eye tracking is a newer approach to understanding visual attention by aggregating data from a large database of eye gaze data and using AI to anticipate where users are most likely to look. This article discusses how this technology works, the pros and cons compared with traditional eye tracking, and highlights a predictive eye tracking tool called Attention Insight that is based on deep learning and trained on 30,800 images from eye tracking studies.
UX Researchers Can Become Leaders in a Designer’s World
While UX has seen an increase in the level of leadership over the years, those taking the reins of the teams have largely come up the ranks from visual or UX design paths with researchers often running into a “glass ceiling” both in terms of available leadership roles and the ability to lead design. Mike Oren takes a look at the attributes that make up leadership in design and research.
UX Researchers Can Become Leaders in a Designer’s World
While UX has seen an increase in the level of leadership over the years, those taking the reins of the teams have largely come up the ranks from visual or UX design paths with researchers often running into a “glass ceiling” both in terms of available leadership roles and the ability to lead design. Mike Oren takes a look at the attributes that make up leadership in design and research.
Remote Research During the COVID-19 Crisis
Despite the limitations and disruptions posed by these troubled times, there is an opportunity for organizations to increase their level of remote testing to ensure their moderated qualitative research needs are satisfied. There are some additional benefits to remote testing in our current pandemic situation. Now is the time to hone the tools and procedures that can make this research successful, until we can be face-to-face again.
Getting Started with Quantitative Data Analysis
Quantitative UX research is all about understanding numerical data that explains human behavior – and it’s one of the key elements of any creating a successful user experience. Many UX professionals are intimidated by quantitative data analysis and often stick to qualitative research methods. The power of quantitative research can provide deeper insights into user behavior through analysis methods like cross-tabulation, max-diff, and conjoint analysis.
Getting Started with Quantitative Data Analysis
Quantitative UX research is all about understanding numerical data that explains human behavior – and it’s one of the key elements of any creating a successful user experience. Many UX professionals are intimidated by quantitative data analysis and often stick to qualitative research methods. The power of quantitative research can provide deeper insights into user behavior through analysis methods like cross-tabulation, max-diff, and conjoint analysis.
[Don’t] listen to your customers
Today’s product and design leaders often rely heavily on the word of their customers when building their product road maps; whether it’s a customer survey or a phone interview, loads of qualitative data through these methods is being collected and used to dictate how to design and develop products. Seems like a foolproof plan, right? Actually, no—a sole reliance on customer input and feedback is built on an antiquated model of human decision making that assumes humans are rational.