Product Analytics

The Wikimedia Foundation's Product Analytics team mainly supports teams within Audiences department, but also supports teams in other parts of the Foundation. The team helps product managers, engineers, and executives make data-informed decisions through:


 * Extracting insights and datasets from the Foundation's data repositories
 * Crafting key performance indicators (KPIs) and other metrics
 * Building dashboards for tracking success and health metrics
 * Design and analysis of experiments (A/B tests)
 * Ad-hoc analyses and machine learning projects
 * Developing tools and software for working with data

The team makes recommendations based on results of analyses, advocates for ethical data practices, and educates on topics around data and statistics.

Structure
Each analyst in embedded into one team, which means they participate in the team's day-to-day activities and discussions so that they can provide proactive analysis support. Each analysts are also assigned to additional teams and functional areas, which means they're the primary point of contact for requests from those teams, but generally don't join the team's day-to-day activities.

Depending on the team's capacity, it may also accept requests from others in the Wikimedia Foundation.

The team also reserves "10 percent time" to work on professional development. The team's interim manager is Jon Katz, who is working on hiring a permanent team manager who will prioritize requests, manage capacity, and professionally develop members of the team.

Values
The Product Analytics team believes that in addition to professional expertise and personal experience, decisions should be supported by data and scientific rigor.

Who's on the team?



 * Jon Katz, Director of Product Management
 * Interim Manager of Product Analytics
 * Tilman Bayer, Senior Analyst
 * Ask me about: {topics}
 * Neil Patel Quinn, Product Analyst
 * Ask me about: Python for data analysis, SWAP, editor metrics, new editor research
 * Chelsy Xie, Data Analyst
 * Ask me about: R, search logs, traffic logs, eventlogging, Hive/SQL/Spark, experiment, machine/deep learning
 * Mikhail Popov, Data Analyst
 * Ask me about: R, data visualization, search logs, traffic logs, Hive/SQL, Bayesian statistics, machine/deep learning, Google Search Console
 * Morten Warncke-Wang
 * Ask me about: R, machine learning, spatial (geographic) models, article quality, editor/editing/newcomer metrics, prior research on Wikipedia, and perhaps also time-series modelling (forecasting)

Guidelines for data and analysis requests
See also meta:Research:FAQ

How to contact us

 * If there's someone specific you want to contact, refer to their individual user page.
 * Otherwise, use the mailing list: product-analytics@undefinedwikimedia.org (formerly data-analysts@undefinedwikimedia.org)