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Building Products Using Data

Data Science Team

Companies and products are growing faster than ever before. Strategically collecting and analyzing newly created data has never been more important not only for "counting numbers" and building dashboards, but for helping define goals, roadmaps and strategies. Product analytics is now a must-have, not an afterthought.

There is a scarcity of literature that explains how to conduct product analysis. To help fill this gap, we will publish a series of posts over the coming months on how to build both data-informed products and world-class data science teams.

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Introduction: Data-Informed Product Building


Explore why data-informed product building has never been more necessary, and how this series will help you do it.

See Our Plan

Evolution of a Product


Understand the characteristics of successful products from conception to maturity.

Learn How Products Mature

Measuring Product Health

Lightstep Treadmills

Metrics to diagnose and analyze product health.

Diagnose Your Product's Health

Defining Product Success: Metrics and Goals


Setting the right goals and metrics is imperative to product success.

Set Meaningful Goals



Techniques to improve user retention and drive growth.

Keep People Coming Back

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