Product Analytics


About Us[edit]

Nurturing data-informed decision-making in Product since 2018-02-01.

Our Mission & Values[edit]

We deliver quantitatively-based user insights to inform decision-making in support of Wikimedia’s strategic direction toward service and equity.

We strive to provide guidance, insights, and data that are:
Ethical • Trusted • Impactful • Accessible • Inclusive • Inspired

What We Do[edit]

Product Analytics contributes to the Wikimedia Movement through our work with Product teams and departments across the Foundation.

Our responsibilities include:

  • Empowering others to make data-informed decisions through education and self-service analytics tools
  • Helping set and track goals that are achievable and measurable
  • Ensuring that Wikimedia products collect useful, high quality data without harming user privacy
  • Extracting insights through ad-hoc analyses and machine learning projects
  • Building dashboards and reports for tracking success and health metrics
  • Designing and analyzing experiments (A/B tests)
  • Developing tools and software for working with data, in collaboration with Data Engineering and Product teams.
  • Addressing data-related issues in collaboration with teams like Data Engineering, Security, and Legal

Who is on the team[edit]

Listed alphabetically by first name within each section

Product Analytics is part of the Research and Decision Science group, led by Kate Zimmerman, Senior Director of Decision Science.

Team Leadership[edit]

Team Members[edit]

Product Team Support[edit]

Each analyst is a point person for a team, project, or program. Our goals are to maintain context and domain knowledge while also allowing for flexibility in analyst work assignments. For more information about how we work with Product teams, see Working with Product Analytics.

Analyst FY23-24 Point person for…
Connie Structured Content


Irene Campaigns

Trust and Safety Product (Incident Reporting System, limited capacity)

Wikipedia ChatGPT-plugin and other Future Audiences experiments

Jennifer Trust and Safety Product (IP Masking)


SDS 2.2

Krishna Chaitanya Language

Moderator Tools

Community-Tech (limited capacity)

Maya (Moved to Movement Insights team)
Megan Editing

Abstract Wikipedia

SDS 2.2

Morten Growth

Metrics & Experimentation Platforms

Neil (Moved to Movement Insights team)
Shay Wikimedia Apps

Teams that do not currently have an assigned point person are encouraged to submit requests through Phabricator. Depending on the team's capacity and organizational needs, we may also accept requests from others in the Wikimedia Foundation. The team reserves "10 percent time" to work on professional development.

How to get help with data or analysis[edit]

Submitting Requests[edit]

If you'd like to request data, analysis, or advice, create a task in Phabricator or send an email to

Requests are reviewed by Product Analytics and inform the direction and priorities of data projects. A team member will follow up about whether we’ll be able to work on your request.

Some questions may be suited to consultation hours; see Product Analytics Consultation Hours for more information and a link to book appointments.

Provide the following information to help us prioritize and respond to your request appropriately:

  • Name for main point of contact and contact preference
We use Phabricator to track our work and provide progress updates. Please let us know if you would like us to follow up by other methods (e.g. email).
  • What teams or departments is this for?
This helps us understand who will be using the analysis.
  • What are your goals? How will you use this data or analysis?
This helps us understand the context and priority. What decisions do you need data to inform? Will you take different actions depending on the direction of the data? Do you want to share data publicly? Do you want to include data in a narrative or message (e.g. for PR, audience engagement, or fundraising)?
  • What are the details of your request? Include relevant timelines or deadlines
Is there a date after which the analysis will no longer be useful? Please provide any timeline/relevant deadlines, requested formats, examples, links to documentation, or other information that would help us understand your request.
  • Is this request urgent or time sensitive?
We try to reply to “Urgent” requests immediately and “Time sensitive” requests by the end of the workday. All other requests will be prioritized during our weekly triage.

Note: We use Phabricator to track our work, and by default tickets are publicly visible. If any part of your request is sensitive and should be kept confidential, let us know.

Consultation Hours[edit]

Analysts host weekly consultation hours (details). Click here to view the calendar or schedule an appointment.

Data FAQs[edit]

See meta:Research:FAQ

How to contact us[edit]

  • Contact information for team members are available on their user pages (linked above).
  • Group mailing list:

Further information[edit]

Data references and reports[edit]

Guidelines and best practices[edit]

Documentation for tools we use[edit]

Team references[edit]