Analytics forms a major part of the conceptual design of an app. Data tracking and collection for the purpose of analytics allows us to better update our app for consumer use. Data tracking is akin to the idea of feedback from a user. By collecting the data in a way that makes sense to us, we can add features or upgrade the existing elements of our app to meet the demand of the consumer. While this allows for a certain level of automatic feedback it does not mean that we can outright ignore our app users’ comments either. A firm balance of both is the middle ground that we should be chasing.

Relevant Data Tracking

As a developer, data tracking is simply one more SDK that needs to be built into our existing application framework. We obviously don’t need every bit of information the app can collect – most of this is useless to our determination of whether the app functions as expected or not. We can, however, produce separate use cases to test whether users find a certain button layout more conducive to their app use. We can also collect information such as uninstall/reinstall information, the orientation of the device, loading time of the application and, by extension, its performance on a number of different handsets (very useful in benchmarking the processing friendliness of the application), account information, and, of course, crashes and exception data that can help improve our user experience. David Cearley from Gartner Inc. is noted as saying that every app now needs to be an analytics app and we can only do this through tracking the data relevant to our app.

Source de l’article sur DZONE

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