Change Details

New editors - WMDE deep dive - analytics questions - phase 1 7th July 2020 **Reference Document:** [[ https://docs.google.com/document/d/1tOCpmn4KgJLDPR1Uaq3kBdOiL_E677COynhhbpr6MZk/edit?ts=5f05e1cc | New editors - WMDE deep dive - analytics questions ]] **Background/ Reason why** The first campaign which contained tracking was conducted in 2017. Since then several campaigns with different content and user journeys have been realized. For strategic decisions on future activities to gain new editors we want to comprehensively analyze past activities and their impact. Besides qualitative results we need to consider quantitative results. As campaign reports usually cover a certain time during and after the campaign but no long term effects. This should be done in this comprehensive analysis. **Timing** Briefing: 9th July 2020 Delivery of report: week 31 **General requirements** The report should be delivered in tables and charts in html as in previous reports The report might be publicly available in the future. For this delivery deadline this is no requirement. Communication will happen in phabricator Based on this report we will have more questions which should be addressed in a phase 2 in August. The time span for this report is January 2017 until June 2020 **Analytics areas** Organic development of editor numbers What is the age of the German Wikipedia Community in terms of account age? since January 2017: How many actively registered in de-WP? - NOTE: mind the user_self_made field in wmf.mediawiki_history How many of them edited (since registration until 30th June 2020): - 1 edit - 2 to 5 edits - 5 to 9 edits - 10 to 49 edits - 50 or more edits retention rate: How many newly registered users are active after (active = at least 1 edit) - 2 weeks after registration - 1 month after registration - 6 months after registration - 12 months after registration How high is the retention rate of these active users compared to the number of registrations? Edit Classes (facets) x Account Age Classes (group, step: one year) x Time (horizontal) → do we observe always one and the same group of active editors, or do the newcomers join in to stay active editors? - start: 2017. **Direct campaigning effects** All previous campaigns should be covered. For the following we need the sum and the individual numbers per campaign since January 2017: How many actively registered in de-WP? How many of them edited (since registration until 30th June 2020): - 1 edit or more - 2 to 5 edits - 5 to 9 edits - 10 to 49 edits - 50 or more edits retention rate: How many newly registered users are active after (active = at least 1 edit) - 2 weeks after registration - 1 month after registration - 6 months after registration - 12 months after registration How high is the retention rate of these active users compared to the number of registrations? Of the people who started training modules (onboarding content used in 2018 in thank you, spring and summer campaign), how is the rate of still active users?

results of the new editor campaigNew editors - WMDE deep dive - analytics questions - scope for analysis is summarized in thisphase 1 7th July 2020 **Reference Document:** [[ https://docs.google.com/document/d/1tOCpmn4KgJLDPR1Uaq3kBdOiL_E677COynhhbpr6MZk/edit | document ]]com/document/d/1tOCpmn4KgJLDPR1Uaq3kBdOiL_E677COynhhbpr6MZk/edit?ts=5f05e1cc | New editors - WMDE deep dive - analytics questions ]] **Background/ Reason why** The first campaign which contained tracking was conducted in 2017. Since then several campaigns with different content and user journeys have been realized. For strategic decisions on future activities to gain new editors we want to comprehensively analyze past activities and their impact. Besides qualitative results we need to consider quantitative results. As campaign reports usually cover a certain time during and after the campaign but no long term effects. This should be done in this comprehensive analysis. **Timing** Briefing: 9th July 2020 Delivery of report: week 31 **General requirements** The report should be delivered in tables and charts in html as in previous reports The report might be publicly available in the future. For this delivery deadline this is no requirement. Communication will happen in phabricator Based on this report we will have more questions which should be addressed in a phase 2 in August. The time span for this report is January 2017 until June 2020 **Analytics areas** Organic development of editor numbers What is the age of the German Wikipedia Community in terms of account age? since January 2017: How many actively registered in de-WP? - NOTE: mind the user_self_made field in wmf.mediawiki_history How many of them edited (since registration until 30th June 2020): - 1 edit - 2 to 5 edits - 5 to 9 edits - 10 to 49 edits - 50 or more edits retention rate: How many newly registered users are active after (active = at least 1 edit) - 2 weeks after registration - 1 month after registration - 6 months after registration - 12 months after registration How high is the retention rate of these active users compared to the number of registrations? Edit Classes (facets) x Account Age Classes (group, step: one year) x Time (horizontal) → do we observe always one and the same group of active editors, or do the newcomers join in to stay active editors? - start: 2017. **Direct campaigning effects** All previous campaigns should be covered. For the following we need the sum and the individual numbers per campaign since January 2017: How many actively registered in de-WP? How many of them edited (since registration until 30th June 2020): - 1 edit or more - 2 to 5 edits - 5 to 9 edits - 10 to 49 edits - 50 or more edits retention rate: How many newly registered users are active after (active = at least 1 edit) - 2 weeks after registration - 1 month after registration - 6 months after registration - 12 months after registration How high is the retention rate of these active users compared to the number of registrations? Of the people who started training modules (onboarding content used in 2018 in thank you, spring and summer campaign), how is the rate of still active users?