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Everything You Always Wanted    to Know About Cohorts   (But Were Afraid to Ask) Introducing the User Metrics API    Ryan ...
ProblemHow do we know if any {program, experiment,new feature} we run to engage new editorsis actually working?
+200% increase in key project-level metricdeployment                  did we really cause this?
what if an army of bots didCC BY-NS-SA photo by Andrew Becraft   http://www.flickr.com/photos/12426416@N00/232268057
what if some external event did           http://en.wikipedia.org/wiki/File:Colbert_report.jpg
Cohort analysisMeasure the productivity of a cohort: a group of users sharingthe same characteristic or undergoing the sam...
What if we could1. define a cohort from a list of editors  Examples  • users in an E3 experimental group  • students enrol...
What if we could2. measure the {quality, productivity, retention}of these users via a standard set of metrics         thre...
What if we could3. compare this cohort to a (meaningful) baseline.
Introducing the User Metrics API
Introducing the User Metrics API• Standardized set of metrics, backed by extensive research andcrash-tested with multiple ...
Get in touchRyan Faulknerrfaulkner@wikimedia.orgDario Taraborellidario@wikimedia.orgProject homehttps://github.com/wikimed...
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Everything You Always Wanted to Know About Cohorts (But Were Afraid to Ask)

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Slides introducing the Wikimedia Foundation's User Metrics API, a platform to extract user activity and engagement metrics and ro run cohort analysis.

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Transcript of "Everything You Always Wanted to Know About Cohorts (But Were Afraid to Ask)"

  1. 1. Everything You Always Wanted to Know About Cohorts (But Were Afraid to Ask) Introducing the User Metrics API Ryan Faulkner Dario Taraborelli rfaulkner@wikimedia.org dario@wikimedia.org Monthly Metrics Meeting, March 7 2013
  2. 2. ProblemHow do we know if any {program, experiment,new feature} we run to engage new editorsis actually working?
  3. 3. +200% increase in key project-level metricdeployment did we really cause this?
  4. 4. what if an army of bots didCC BY-NS-SA photo by Andrew Becraft http://www.flickr.com/photos/12426416@N00/232268057
  5. 5. what if some external event did http://en.wikipedia.org/wiki/File:Colbert_report.jpg
  6. 6. Cohort analysisMeasure the productivity of a cohort: a group of users sharingthe same characteristic or undergoing the same treatmentCC BY photo by Jeremy Mates http://www.flickr.com/photos/jeremymates/2362399109
  7. 7. What if we could1. define a cohort from a list of editors Examples • users in an E3 experimental group • students enrolled in a Global Education course • members of a Wikiproject • new editors with 10+ edits in their first month • new users registered on mobile devices • VisualEditor adopters
  8. 8. What if we could2. measure the {quality, productivity, retention}of these users via a standard set of metrics threshold measures whether a user reached a given level of activity (a number n of edits) within a specific time t since registration, in a given namespace.
  9. 9. What if we could3. compare this cohort to a (meaningful) baseline.
  10. 10. Introducing the User Metrics API
  11. 11. Introducing the User Metrics API• Standardized set of metrics, backed by extensive research andcrash-tested with multiple experiments run by the E3 team.• Supports cohorts from any Wikimedia project, beyond enwiki(including referral campaigns).• Optimized performance for fast extraction of computationallydemanding metrics from thousands of users.• Returns both individual and aggregate metrics thanks tomultiple aggregator methods. Supports time series.• Easily extensible and fully parametrized (metrics can be fine-tuned, default parameters overridden as needed)
  12. 12. Get in touchRyan Faulknerrfaulkner@wikimedia.orgDario Taraborellidario@wikimedia.orgProject homehttps://github.com/wikimedia/user_metrics
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