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How to

Creating a User Retention Analysis in Moesif

Making sure that users derive value from your product can usually be determined by your user retention. User retention measures what percentage of your users are returning to and using your product. Retention is a key metric to measure business health and product success. In this tutorial, Matt shows users how to set up a retention analysis in the User Retention screen in Moesif. He covers how to: Navigate to the User Retention screen Create a “First Event” and a “Returning Event” to measure the retention How to interpret the results

Creating a Behavioral Email in Moesif

Using metrics to drive an email flow can provide next-level service to your users. Once a user fits a certain criteria, Moesif can automatically send one-time and recurring emails based on that behavior. In this tutorial, Matt goes over the basic steps to set up a behavioral email in Moesif. These steps include: After this overview, users will be able to set up their own behavioral emails with ease in Moesif.

Creating a User Funnel in Moesif

User funnels allow businesses to analyze how individual users are using and converting within their product. Funnel metrics can show how many users are converting through each stage of the funnel and the average time it takes to do so. In this tutorial, Matt covers how to set up a conversion funnel analysis in Moesif using the User Funnels screen. Steps covered include: Navigating to the User Funnel screen Creating “steps” for each step in the funnel How to read and interpret the output

Using Elastic ML to Observe Your Kuma API Observability Metrics

Observability is catching on these days as the de-facto way to provide visibility into essential aspects of systems. It would be unwise for you not to leverage it with Kuma service mesh — the place that allows your services to communicate with the rest of the world. However, many observability solutions restrict themselves to the works: simple metric collection that provides them with dashboards. Expecting users to simply sit on their chairs and look at those metrics all day long is an invitation to failure, as we know that one can only do so much when they get tired and bored.

Chapter 2.1: Selection and Prioritization of Element Locator Methods

This chapter shows you how to set up and prioritize different alternative locators that Katalon Studio will use when it fails to identify test objects. You’ll also learn to automatically replace broken locators with working alternatives, without changing anything in relevant test cases. About Course This course demonstrates how Katalon Studio fixes broken object locators during test executions, without any manual effort involved. Equipped with Self-Healing, Studio automatically finds and uses pre-configured alternative locators to identify web elements, preventing tests from breaking.

Chapter 2.2: Self Healing Object Exclusion and Broken Object Replacement

This chapter shows you how to set up and prioritize different alternative locators that Katalon Studio will use when it fails to identify test objects. You’ll also learn to automatically replace broken locators with working alternatives, without changing anything in relevant test cases. About Course This course demonstrates how Katalon Studio fixes broken object locators during test executions, without any manual effort involved. Equipped with Self-Healing, Studio automatically finds and uses pre-configured alternative locators to identify web elements, preventing tests from breaking.