Product Analytics

The 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.

Mission statement and values
The Product Analytics team believes that in addition to professional expertise and personal experience, decisions should be supported by data and scientific rigor. (Draft)

Who's on the team?


This list was last updated on April 12th, 2018.


 * Jon Katz, Director of Product Management
 * Interim Manager of Product Analytics
 * Tilman Bayer, Senior Data Analyst
 * Primary analyst for Reading Web
 * Highlighted works:
 * {3-5 examples of previous work (reports, projects, blog posts)}
 * Ask me about: {topics}
 * Neil Patel Quinn, Product Analyst
 * Primary analyst for Contributors
 * Highlighted works:
 * {3-5 examples of previous work (reports, projects, blog posts)}
 * Ask me about: {topics}
 * Chelsy Xie, Data Analyst
 * Primary analyst for Mobile Apps (iOS), Multimedia
 * Highlighted works:
 * {3-5 examples of previous work (reports, projects, blog posts)}
 * Ask me about: {topics}
 * Mikhail Popov, Data Analyst
 * Primary analyst for Mobile Apps (Android), Search Platform
 * Highlighted works:
 * Hiring a data scientist guide
 * Introductory workshop on data visualization literacy
 * A data scientist's primer on technical ops with Puppet
 * Anticipating Zero Results From Query Features, Ignoring Content
 * Ask me about: R, data visualization, search logs, traffic logs, Hive/SQL, Bayesian statistics, machine/deep learning, Google Search Console

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)