Resources
Tips, tutorials, guides, and product insights from FullStory’s Digital Experience Intelligence experts
Quantitative data examples to help you understand how to take action
Quantitative data is used for calculations or obtaining numerical results. Learn about the different types of quantitative data uses cases and more.
Categorical vs. quantitative data: The difference plus why they’re so valuable
Categorical & quantitative variables both provide vital info about a data set. But each is important for different reasons and has its own pros/cons.
Qualitative vs. quantitative data: what's the difference?
Qualitative and quantitative data differ on what they emphasize—qualitative focuses on meaning, and quantitative emphasizes statistical analysis.
Investing in your digital experience matters: 3 takeaways from our consumer survey
We surveyed 1,500 consumers in North America to find out what digital issues they find most frustrating and what they do when they encounter issues.
Connect to Google Kubernetes with GCP credentials and pure Golang
A walk through of the Go code we used to allow GKE-hosted services to connect with external clusters using Google Service Account permissions.
The 4 potential problems with heatmap tools
Heatmaps visualize aggregate user behaviors (clicks, mouse movements) on a website/app using color. Learn how heat map tools work—and how they don't.
How many sessions do I actually need to watch?
How many sessions do you really need to watch? Whether you've recorded 100s of sessions—or millions—this will focus your efforts and save you time.
The guide to understanding user frustration online
Bad experiences drive customers away. Discover the main causes of online frustration and how to fix 'em.
What is a heatmap? How to create and analyze them
Website heatmaps are one of the quickest ways to visualize and analyze large datasets. Find out what heatmaps are, how they’re created, and how you can use them to make data-driven decisions.