Problem: The current pageview analytics are not specific enough to direct an editor's attention to the portion of an article that is most in need of being improved.
Proposed solution: The proposed solution is analogous to the YouTube engagement analytic that shows, statistically, at what time in a video viewers are leaving. However, the proposed solution for a Wikipedia article needs to account for multiple entry points into the article, as opposed to YouTube viewing which usually starts at the beginning of the video. Therefore, the proposed solution is to provide article editors with data showing how much time readers spend on each rendered section of the article, starting at the reader's entry point into the article.
Who would benefit: The article editors would benefit from the feedback and the article readers would benefit from articles that have had their worst parts improved.
