Question regarding QS-apps: how should a perfect app analyse your data

Hi Folks
May I post a question? What do you think is missing in the analysis of fitness tracker, wearables or QS-Apps?
One can read so much about “the missing meaning” of these apps. Right now all data points are shown in a graph but is this enough for you? What should the apps make out of this series that you find the interpretation as VERRY helpful?

Reason for this question: I develop an app-prototype which will deliver a meaning behind fitness and health data.

I am very thankful for your feedback and suggestions.

Showing data points in a graph is neat, but what is often missing is the ability to drill down, filter and combine data across different data sets (including custom, less usual ones).