The 5 Best Methods for Drawing Insight out of Machine Data

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User Recording

This is a session recording or heat map of cursor placement, clicks and scroll behaviors. Generally a JavaScript tag is installed on a web app, and an SDK will be used for native applications.

Why is this important? These tools can give insight into how users are interacting with the pages of your application between clicks, which aids in identifying UX friction. Heat maps indicate areas on your application with the highest frequency of activity, while recordings can be invaluable to identify how a set of users experience the application.

The pursuit of data-driven decision making has put tracking, logging and monitoring at the forefront of the minds of product, sales and marketing teams. Engineers are generally familiar with gathering and tracking data to maintain and optimize infrastructure and application performance. However, with the power of data, other business groups are clamoring for the latest tools and instrumentation. Quite often the expense of implementation is undersold as merely placing a tag on a site or adding a library, and doesn’t take into account the additional expense of tracking unique aspects of the application. To complicate matters, there is usually quite a bit of confusion on the types of data being captured by the tools a company already has in place.

In this slideshow, Thomas Overton, from the Sumo Logic Developer Community, offers the five best methods for gaining insight from machine data.

 

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