Goal: Documented baseline understanding of our users including insights into who they are, how they engage with wikifunctions, and what their experience is/was like.
Metrics (to be refined based on discussions with team )
More details provided in the PRD
- User interface language
- Proportion of distinct editors and visitors to wikifunctions by language UI.
- Visualization that highlights areas with gaps between where contributions come from and the languages UI
- Geographical distribution
- Distinct editors by country
- Unique devices by country
- Visualization that highlights areas with gaps between people who contribute and consume content.
- Community engagement
- New editor retention: Out of the users who registered in the month before the previous and made at least one edit in their first 30 days, the proportion who also edited during their second 30 days. Note: The definition aligns with the core metric used by WMF to guide strategic decisions.
- Active editor retention: Proportion of active editors who are new (registered during the given month) vs returning (registered before the given month).
- (If retention is low): Investigate editing data for non-retained editors. For example, the edit completion rate for non-retained editors to determine if these editors are struggling to complete an edit.
- Movement familiarity
- Overall proportion of wikifunctions editors that contribute to other projects
- Proportion of wikifunction editors by other supports projects (e.g. X% of wikifunctions editors contribute to “wikidata”, etc. Include breakdowns by editors type (active and new) to highlight differences.
- How do people use wikifunctions?
- Contribution ratio.
- For each function created, assign a contribution ratio to indicate how many distinct users contributed to connecting tests and implementations.
- Frequency of contribution ratio across all created functions.
- Activity metrics
- Daily number of functions, implementations, and tests published by users over time to view changes in rates.
- Contribution ratio.
- What was their experience to become an active contributor (acquisition pathway)
- Average time from first visit to first edit broken down by experience level and platform.
- What was their onboarding experience?
- Average time from account creation to first edit [Conversion]
- [Nice to have] Proportion of first time contributors by first edit type
Steps:
- Coordinate with Amin to finalize metrics for analysis needed to inform future work
- Draft queries to collect data [IN PROGRESS]
- Analysis and Visualization
- Share report findings with the team