List of possibile observable data

When Statisticaly evaluating the usage of Navida Pro application and its different modules, we can consider tracking the following metrics. Each type of metrics is given with some sample possible metrics for better understanding.

Count Metrics

1. User Onboarding Count: Measure the number of users who successfully onboarded onto the app. This metric reflects the effectiveness of onboarding process.
2. Goal Enrollment Count: Keep track of how many users have enrolled in specific health goals. This helps us understand user engagement and interest in different health objectives.
3. Challenges Joined: Count the users participating in challenges associated with their goals. It highlights engagement and motivation of users.
4. Completed Challenges :Number of challenges completed within the challenge period
5. Activity Completion Count: Count the number of completed activities related to each goal. This metric indicates user progress and adherence to their health targets.
6. Module Usage: Break down usage by module (e.g., sports, mental , foodie). Track the number of users accessing each module to identify popular features and potential areas for improvement.
7. Number of Consents Granted: Track how many users have provided consent.
8. Consent Withdrawals: Monitor the count of users who revoke their consent.
9. Consent Updates: Keep track of how often users modify their consent preferences.
10. Consents by plugin : Number of consents by plugin

Gauge Metrics :

These provide a snapshot of a specific value at a particular moment

1. Active Users: The current number of users actively using the app.
2. Average body weight and size: Average body weight and size of users

Histogram Metrics

Histograms group data into buckets or intervals.

1. Goal Completion Time: How long it takes users to achieve their health goals.
2. Consent Duration: To understand the distribution of consent validity periods by users.
3. Frequency of Consent Requests: Analyze how often users encounter consent agreement/disagreement.

Time Metrics

1. Expected duration of challenges: Average time needed for challenges
2. Actual duration of challenges:
   Average duration users taking to complete challenges Consent Validity Period: Track the duration for which consent remains valid for users.

Boolean Metrics

1. Notification state : Proportion of users that have been notified for 'vorsorgekompass'
2. Proportion of users that have been notified for 'challenges'