Moving to ready. This will use the results of T369853: [Spike 2 days] Recommended Content APIs and T371287: [Spike 1 day] Investigate List Building APIs, summarized in https://docs.google.com/spreadsheets/d/1msnUBnfZXV7J2DNs6Py_FkiU2WI_CAo6tFXbpBireF0/edit?gid=1030852928#gid=1030852928 as a basis for comparison.

From meeting with @JScherer-WMF and @NBaca-WMF

Decision: Use google form for the survey itself, recruit on userlytics
Decision: We generate 3 different articles to show users (that they can select their most interested based on the topic). “How likely are you to read about this topic on your own outside of this study”
Potential idea: List of articles to choose from:
An interesting “did you know”
Something trending/in the news
Evergreen - Moon, Mars, etc
Potential idea: Paper
Decision: Should screen for intrinsic learning first
Decision: We will show them a Wikipedia page screenshot and then ask the questions on top of it. We will make an API call for each of the three articles and manually populate the table that the form is generated from. For the test itself we will de-duplicate and then go back to the original table to compare results. Any vote for a duplicate would be a point for each of the APIs the suggestion came from.
Decision: Use quicksurveys

Action items:

• Olga to start protocol draft
• Olga to make a ticket about setting up quicksurvey
  • One survey for UI experiment
  • One survey for non-UI experiment
  • Maybe two languages?
• Justin to then improve protocol get feedback on protocol
• Olga to make a ticket about getting a privacy policy

We need to through articles after 2020, Kim has been helping Justin look into this.
Justin and Olga have a 1-on-1 tomorrow to go through this, which will help us wrap it up this week.

The draft Google form is here