Resources

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

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A completed customer journey map
Blog Post

How to create a customer journey map

Map out how your customers navigate your website or app—and determine where you need to improve.

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Data in the FullStory platform, including rage click and subscribers.
Deep Dive

What is quantitative data? How to collect, understand, and analyze it

A comprehensive guide to quantitative data, how it differs from qualitative data, and why it's a valuable tool for solving problems.

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Examples of qualitative data.
Deep Dive

What is qualitative data? How to understand, collect, and analyze it

A comprehensive guide to qualitative data, how it differs from quantitative data, and why it's a valuable tool for solving problems.

Start learning
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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Blue ripples
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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Blog Post

What's a scroll map? How to build, analyze, and use scroll maps

See how far users scroll and get stakeholders on the same page when it comes to prioritizing content and features within a given page design.

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Blog Post

Product roadmap alignment and buy-in: Tips for product managers

Sanity-saving ways product managers can use data to keep cross-functional teams in sync by focusing on people, processes, and tools.

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A number sign
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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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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