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Tips, tutorials, guides, and product insights from FullStory’s Digital Experience Intelligence experts

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Blog Post

Qualitative data: Examples and how to use it

Learn how to analyze qualitative data. We show examples of how to collect, organize, and analyze qualitative data to gain insights.

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FullStory Engineering Blog

Bootstrapping an Availability program using SRE principles

Learn how we leveraged the principles of Site Reliability Engineering to stand up a program to measure and optimize FullStory’s availability.

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Customer Story

Flight Centre optimizes global retail ecosystem and improves operational efficiency with FullStory

Flight Centre optimizes global retail ecosystem and improves operational efficiency with FullStory's Digital Experience Intelligence.

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A customer journey map in FullStory
Deep Dive

How to understand, use, and build customer journey maps

A customer journey map is key to building a solid marketing strategy. We cover everything you need to know about customer journey maps, their different types, examples, and the steps to making your own.

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FullStory Engineering Blog

Creating scalable, testable, and readable React apps: Part 3

Should you separate React components into different categories? We think so. Read on to find out the benefits and concerns of doing so.

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Blog Post

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.

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FullStory Engineering Blog

Increasing cost awareness by modeling cost-saving projects

Part II of a series about how FullStory’s Technical Program Management team increases cost awareness by modeling cost-savings projects.

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Blog Post

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.

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Blog Post

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.

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