Datadog is an observability and security platform. That means that our users may be in a high stress situation: debugging an issue in production, managing an incident or responding to a security threat. Having a good UX is particularly critical in those cases.

User interviews are very helpful, but after a product has been released in production we are able to gather a lot more data to understand how customers interact with it and make decisions about how it can be improved.

In this session Ara Pulido, Developer Advocate, chats with Derek Howles, Staff Product Designer, and Miranda Kapin, Senior Product Manager, on how they use telemetry data, collected from Datadog customers, to make informed product design and development decisions.

They explain the process they follow, the type of data they take into account to make product decisions, and how you can collect and leverage telemetry data to improve the products you are building.

00:00 - Introduction

05:00 - What is Data Informed Product Development?

14:50 - Tooling and Methodology

15:37 - Real User Monitoring

17:59 - Session Replay

21:20 - Methodology

24:50 - Real world examples

25:12 - Browser usage / screen size

31:03 - Monospace font family

36:14 - Custom time frame syntax

42:28 - Improving RUM and Session Replay

47:00 - Getting Started

50:00 - Q & A