This page is obsolete. It is being retained for archival purposes. It may document extensions or features that are obsolete and/or no longer supported. Do not rely on the information here being up-to-date. This project is no longer under development. Documentation here may be outdated. |
MoodBar A feature to encourage new users to provide feedback.
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Moodbar is an experimental feature aimed at getting quick feedback on the editing experience of new editors. It is part of theNew Editor Engagement initiatives.

This feature presents a quick and easy way for users to submit feedback on their editing experience. Since we are seeking feedback from new editors, the link to feedback about editing will appear only for newly registered users (as of the feature launch date) who have clicked on the edit button, regardless of whether they successfully completed the edit. These users will see an invitation to provide feedback at the top right of the page. Clicking on the invitation opens a dialog where users can provide feedback in the form of a happy/sad/confused designation and a comment of 140 characters.
Anonymized feedback will be available via a csv file (location TBD). If the feature turns out to provide meaningful feedback on the experience of new editors, the information will be published in a dashboard for easier review.
Dismissing the feature: The feature may be dismissed by clicking on "What's this" in the dialog and dismissing the feature.
As part of the New Editor Engagement Projects, this feature is meant to provide our communities with quick feedback on the experience of our users. The initial implementation of this feature will be targeted at getting feedback from new editors of Wikipedia. The goal is to get feedback that helps us understand the experience of these new editors, which can then be used as input for feature development.
Currently the main way we get feedback on the experience of our editors is through surveys (Wikipedia Editors Survey,Former Contributors Survey). This method of feedback provides some very detailed information about our editors, but is very heavy-weight. A simple, quick feedback mechanism can provide more timely data and help reveal trends in the early experience of our editors.