Background
This epic will center around designing and running experiment around testing recommendations within the empty state of search. In parallel, we will test recommendations in the sidebar of the desktop experience. It will contain all tickets related to the investigation and running of these tests. The epic will be completed once the experiment is done and next steps are determined for the ideas experimented on.
User story
As a reader on Wikipedia for intrinsic learning, I want to satisfy my curiosity by navigating to recommended articles.
Requirements
- An experiment is run that allows us to test the hypothesis: "People who open the search bar and see the recommendations will have more internal referrals for that page that people who do not open the search bar"
- Other variables will also be measured depending on the experiment chosen
Potential metrics of interest:
- internal referrals
- time to query abandonment
- clickthrough rate
- session depth (time x number of articles, i.e. does this promote rabbit hole rea
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