Description

As part of T401384: FY25-26 SDS2.1.5 User Experience - Attribute Selection one success criteria is reducing over-collecting of personal or sensitive data. To do that we need to know what was, in average, the number or those attributes collected per stream/instrument before and after we implement the mentioned hypothesis' work.

We might choose one of the following ways:

• Write a script that counts the number of contextual attributes in existing streams, write another that also counts how many contextual attributes are configured in the xLab database and report median over time
• Record number or clicks on link to the Data Collection Guidelines
• Include a question in the post-experiment survey

Acceptance criteria

• We have decided which is the best way to measure over-collecting
• The decided solution has been implemented