In T342930, we will complete the broader analysis of the Edit Check A/B test to evaluate the impact of this intervention.
This ticket involves an analysis of a set of leading indicators we will use to decide what – if any – adjustments/investigations the Editing Team will prioritize making before we forward with the analysis T342930 describes.
Decision(s) to be made
- What – if any – adjustments/investigations will we prioritize for us to be confident moving forward with evaluating the reference Edit Check's impact?
Leading indicators
Metrics
ID | Name | Metric(s) for Evaluation | Conclusion |
---|---|---|---|
1. | Citation reuse | Percentage of people who elect to add a reference and use Citoid's Re-use feature to do so [ii] | |
2. | Newcomers and Junior Conributors are not encountering Edit Check | The proportion of edits/editors the reference Edit Check is being activated within/for | |
3. | Newcomers and Junior Contributors are not understanding the feature | High edit abandonment rate after reference Edit Check is shown | |
4. | High volume of false positive reports | 1) Reference Edit Check is being shown when people don't think it should be and 2) High proportion of reverts among edits where reference Edit Check is shown | |
5. | Reference Edit Check is causing lots of disruption | See "3." and "4." above |