Users move through different paths when using content translation, and we want to have a better understanding about how many users take each path and the results they produce.
Translators can enter the tool through different entry points (Contributions page/menu, interlanguage links, etc.), start a translation in different ways (searching for a specific article, picking a suggestion, or selecting an article they kept for later), and advance through different stages for the translation (starting a new translation, continuing an existing one, and publishing). Finally, the published content may survive, be edited further, or be deleted by the community.
Measuring and visualizing this funnel would allow understanding better which paths are used the most and which ones lead to more productive activities.
We are interested in both, the overall activity for any language as well as the activity for specific wikis. Ideally, it would be great to focus on any particular wiki, but if a predefined set is needed we'd focus on the selected small Wikipedias (Bengali, Malayalam, Tagalog, Javanese, and Mongolian).
An initial diagram illustrating the user workflow and possible steps to instrument is captured below: