How to Measure Apdex Score for Your App’s Performance?

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Ever wondered how your streaming apps perform under the hood?

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Let's take a look at how Amazon Prime Video fared in a real-time performance test conducted on a Samsung device powered by Pcloudy's app performance.

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This is the report generated by simply performing a user journey while Pcloudy's app performance engine collects all the data behind the scenes.

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The app scored an impressive index of 0.94, placing it in the excellent category of user experience.

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No app crashes were reported and the resource consumption on average remain lean with a CPU usage of around 12% on average.

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With the app's cold launches at just over 1 second and hot launches in less than 70 milliseconds, the app ensures users jump right into their […]

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But all is not smooth sailing.

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Our detailed UI insights revealed a high number of jank frames, 641 to be precise.

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This means that the visuals may not always be rendering smoothly, potentially causing lags or stutters during playback and navigation.

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On the network front, most requests were successful with possible slow and insecure endpoints.

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Now, let's look into each of these sections in detail.

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Here is the time series graph that gives you detailed insights into your application across 20 plus metrics along with the corresponding UI.

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Now let's look at a particular time stamp where I have performed a click on a specific viewing content.

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The app CPU utilization is at around 23%.

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Which indicates a significant processing demand which can drain battery, cause device heating and lead to app sluggishness.

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There is a janky frame detected in this time stamp which could indicate a non-responsive experience for user.

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The total memory is 377 MB with a high native heat usage and Java heat.

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This could lead to app crashes specifically on lower-end devices.

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Finally, the battery drain is 11.4 milliamp hours, which is significantly high and could lead to fast battery consumption and frustrate users leading to higher app abandonment rates.

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In the UI insights, we see the page transition timeline where we can see here that it took a long time to play a video once it was clicked.

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In the frame timeline, we see delayed frames.

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For example, in this frame in the landing page of the app, we see that the delay was over 163 milliseconds.

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This is way beyond the threshold of 16 milliseconds and means that the user could be experiencing lags or a frozen UI.

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In the network section, we can see all the APIs and its status.

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Also on the left you can see the categorizations.

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We can filter out the slowest endpoints failed requests.

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Further we can see that the static content is not cached which leads to repeated API calls.

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This would lead to frustrations for users particularly in the lower bandwidth networks.

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Also you can click on each individual API see the header preview response and timing breakdown of that API.

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And finally in the log analysis section we can see that there are some frame skips that have been detected in the device logs.

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Therefore as you can see Pcloudy's app performance uncovers deep insights and root causes with 60 plus metrics that impact the performance of your application.

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Optimizing and speeding up user satisfaction.