Conversations

2021-01-19 | Growth

RS: Can we find out which meta data is the most important?
RH: Convey algorithm gym task aspect
MM: Stats or credit on progress of the task. Positive reinforcements.
RH: Prioritize infos
MM: Convey that image is not there yet. RS will explore directions for this.
RH: Audience is bigger on Android. A lot of the metadata is written in English. Figure out how to deal with languages.
RH: Consider diary study from Carolyn on iOS analytics data (“Appsy”).
Additional links from Rita (Jan 20)
- Android Explore Feed usage
- Apps reading list usage
- Android + iOS User testing participants recruitment survey - demographic and basic usage results from a mobile app test participants recruiting drive.
- iOS longitudinal Diary study (involved a serving users a series of short surveys over time, as well as capturing analytics usage via a third vendor AppSee)

The aim of the Suggested edits feed experience is to help improve the algorhithm
Is it then a demo?
- “Algorhithm Gym”
- Not disappointed and confused by not making an edit.
- Separate version of adding images.
- Positive reinforcements since users don’t edit Wikipedia (Trainer like crowdsource).
- Contributions are not counted.
Data
- People looked at image info a lot in the usablity tests.
- Difficulty of adressing newcomers (Wikipedia vs Commons)
- Find out if the feature is for more advanced editors on Android.
Usability test, two variants
- Optional captions were part of the test.
- After they did 20 imagre recommendations they had to add few (optional) caption in the end.
- Captions were really bad.
  - Do we want to include these?

Explore interaction model of dating apps (swipe left and right?)
How do we deal with languages?
- Do we support any other language than English Wiki?
- Do we want to showcase images that have a caption in other (app) languages?
- Options to choose language?
- Caption language?
Onboarding to image recommendations?
Survey for image recommendations? How do we display the survey