Modern web design with data tables that don’t stretch
I am working on what you could call an accounting or payroll software. They want to convert it bit by bit to a web app. The original desktop tool has that 1990’s look, relatively small windows packed with data.
Now what they want for the n…
Refresh button in addition to 60 second auto refresh?
This may be an obvious question (I’m hoping so, since I’m new to this), but I haven’t found an overall rule of thumb for this online or in this forum. In a data table for large data sets, the auto refresh is set to every 60 seconds. Should…
Good UX for Data Vis for Multiple X-Axis of Different Time Scales?
I’m currently trying to create a singular data visualization of a dot plot with datasets that have similar y-axis scales, but different x axis scales. The x-axis scales range from daily (Jan 1, Jan 2), monthly (Jan, Feb), quarterly, and ye…
How to show negative and positive values in a graphic for data visualisation
So I am preparing a proof of concept where on a dashboard a users accounts show positive and negative values within a graph of some sort.
My current solution is to use a pie chart with positive and negative values. But I’m wondering if the…
What is a basic yet efficient UX for "cleaning up a table similar records"?
I am interested in curating data of various sorts, one example of which is company metadata. Another example is movie metadata, or book metadata, or sports player metadata. Basically, a spreadsheet of thousands of rows (if not millions or …
Every Machine Learning Team Needs a UX Researcher
It’s doubtful that anyone would set out to build ML models that don’t meet their users’ needs, are biased, or inaccurate. Instead, teams likely find themselves here due to a general lack of knowledge. Individuals and companies focus on the technical tools and know-how to build ML and miss the equally crucial human side. What can be done to help prevent ML catastrophes? This article discusses the critical points and considerations in the ML workflow where UX research should be included.
Every Machine Learning Team Needs a UX Researcher
It’s doubtful that anyone would set out to build ML models that don’t meet their users’ needs, are biased, or inaccurate. Instead, teams likely find themselves here due to a general lack of knowledge. Individuals and companies focus on the technical tools and know-how to build ML and miss the equally crucial human side. What can be done to help prevent ML catastrophes? This article discusses the critical points and considerations in the ML workflow where UX research should be included.
How can I display large amount of active organizations within the platform?
Currently when the user uses the platform is able to choose an active organization (within his organization) and which data he wants to include. The current solution indicates a narrow bar under the top navigation which informs the user re…
Do you get differentiated data from Google Optimize A/B test with multiple user targeting variables?
If you target test variations for your users with Google Optimize will you get differentiated values for those variations such as mobile, tablet, location and so on in one single A/B test, or we just receive a bulk data test result?
Data-Informed Design: Minimize the Website Redesign Debate
The process of redesigning a website (and keeping stakeholders happy) is complicated at best, grueling at worst. This week, UX Booth columnist Jennifer Leigh Brown explores how to navigate website redesigns by arming designers with data.