The Content Translation tool now has custom suggestions menu and various ways for users of CX to customize suggestions, which was developed as a part of T113257.
An initial analysis has been done as part of {T381391}.
The team would like to monitor the use of the custom suggestions over time and relevant user interactions for the menu. The goal is to add relevant aggregate metrics to [[ https://superset.wikimedia.org/superset/dashboard/cx-key-metrics/?native_filters_key=ziZILXoEArbxkZ8cap-nPJ7aCYjdypit5Rs_BlDftgTvoL-7CHDrIwD4R7y_pRbq | CX key metrics Superset dashboard ]].
Steps involved:
[] Propose metrics to be monitored
[] Finalize metrics to be monitored
[] Assess if an aggregation data pipeline is needed
[] Develop queries for aggregation
[] Develop Airflow pipeline for aggregation (if needed)
[] Addition of metrics to the dashboard
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Proposed metrics
* Daily unique users interaction with the custom suggestions menu
* Daily clicks to open the custom suggestions menu
* Proportion of users (of the ones who opened the menu)
* that selected at least one filter within the custom suggestion menu
* that confirmed with at least one filter
* that closed without any confirmation
* Aggregate of high level of sources for filters selected (collections topic area, popular articles, previous edits)
* Aggregate of specific sources filters selected (for example, names of the topic areas, or collections)
* Proportion of users that proceeded to translation start step by selecting a suggestion from the custom suggestions
* Proportion of users that successfully published a translation after selecting a suggestion from the custom suggestions