Sitemap - 2021 - Data & Design by Kai Wong
How you can use “seeing is believing” to challenge poor requirements
How putting minimal effort into tagging can extend the life of your UX research
Should you fix a design error in the middle of user testing?
Replace your complex bar chart with a dot plot to make it better understood
How collecting metadata can yield better research insights
What a quantitative user study that nearly failed taught me about metrics
How to use guerrilla research to guide your project discovery phase
The power of the little (red) dot: encouraging users to explore further
You might be using the wrong wording when talking about user findings
Be kind to future designers with annotations
Are you creating usability reports no one’s reading? Consider rainbow spreadsheets instead
The 4 questions to ask yourself before creating an interactive visualization
To moderate user research debriefs effectively, understand who your notetakers are
How to avoid being intimidated by quantitative UX metrics
How stakeholders should fit into user testing sessions
The user research technique that can help you in a time crunch
Get better at using color palettes with choropleth maps
How to clean quantitative user data — a visual guide
How to get the most out of an interview with a subject matter expert
Understanding pre-attentive attributions and perception
Hands-on Visualization practice #8
Is the business process not capturing what users do? Create a UX flowchart
What makes a good visualization?
Want to get better at using color? Try a scatter plot
The questions to ask to avoid being misled by line charts
Understanding Journalism: the other half of Data Visualization
Hands-on Visualization practice #6
How user empathy can make even bar charts more insightful
How a simple design decision can result in hours of data wrangling
Using visualizations to explore a dataset
Using treemaps to understand hierarchical data
The most common mistake designers make when adjusting their bar charts
Visualization and building a data model
A simple static visualization can often be the best approach
Hands-on Data Visualization practice #4
Turning your user research into a 1-page sketch
Understanding metrics of interest
Hands-on Data Visualization practice #3
Don't fear data: the need for quantitative metrics
Hands-on Visualization practice: #MakeoverMonday week 2
Revising a bad data visualization
Hands-on Data Visualization practice week 1
How would I recommend people learn Data Visualization?
First of all, what is Data Visualization?
Combining the best aspects of UX, Data Science, and Data Visualization