Datadog on Informed Product Development

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