Background
The iOS team wants to evaluate if V3 of Year in Review have the potential to perform better than V2. We plan to conduct this preliminary evaluation via user testing.
Audience
- Japanese users in Japan
- English readers in US, UK, GB, IE, AU, CA
- Frequent readers
- Low Bandwidth Readers
Some users should see the Non-EN experience and some should see the EN experience. Some users should be logged in and some should be logged out.
Some users should see the donor treatment and others see the non donor treatment.
Updated requirements per conversation between Sarah and Jaz based on Mike's recommendation:
20 users will evaluate the V3 prototype: 5 in the logged-out non-donor pathway, 5 in the logged-out donor pathway, 5 in the logged-in donor pathway, 5 in the logged-in non-donor pathway.
Test must include satisfaction survey questions so we can compare against the results of that survey collected during V2.
Research Questions
- Do we see a higher satisfaction rate for V3?
- Do users that evaluate V3 say that the feature is likely to increase their use of the Wikipedia app or make them want to download the app?
- Does the donate CTA in V3 make participants more likely to donate than the V2 CTA?
- Are users of V3 concerned about privacy and tracking?
- What are user expectations of the shareable summary slide in V3 and are there different highlights they'd prefer?
- By moving the login screen to the beginning of the experience, is it clear to users that they can still access the feature even if they do not create an account or do they become confused?
- Do users understand how to update their app icon in V3?
Tasks
Engineering
- Provide V3 APK (not V2, due to updates per Mike's recommendation above)
- Create fake data for scenarios described under audience
Design
- Create protocol taking into consideration research questions and fake data in APKs
- Get protocol reviewed by design research
- Get translation of protocol and strings for Japanese
- Run user test
- Process results
- Share results with Amal for MediaWiki and Jaz for feature refinement by end of September


