Product Analytics
About Us
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Product Analytics
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Nurturing data-informed decision-making in Product since 2018-02-01.
Our Mission & Values
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
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
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
- Mikhail Popov, Data Science Manager
Team Members
- Connie Chen, Sr. Data Scientist
- Irene Florez, Data Scientist III
- Jennifer Wang, Staff Data Scientist
- Krishna Chaitanya Velaga, Data Scientist III
- Megan Neisler, Sr. Data Scientist
- Morten Warncke-Wang, Staff Data Scientist
- Shay Nowick, Sr. Data Scientist
Product Team Support
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) |
| Krishna Chaitanya | Language
Community-Tech (limited capacity) |
| Maya | (Moved to Movement Insights team) |
| Megan | Editing |
| Morten | Growth |
| 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
Teams that we currently support
Teams who we have committed to supporting this fiscal year (see Product Team Support) can file tasks in Phabricator and tag product-analytics. Please provide the following information:
- What team is this request for?
- What are you requesting?
- What is the problem you're trying to solve?
- What decision will you make or action will you take with this data?
- Additional details
- If there is a different point of contact for the request, who is it?
- If there will be a deliverable (e.g. a dataset, a report), what format would you like it in?
- Please also include any examples, links to documentation, or other information that would be help us understand your request.
- Is there a date after which the analysis will no longer be useful?
Notes:
- 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.
- Please do not specify the priority yourself, the team has its own prioritization framework. Product Managers should let the analyst assigned to their team know about the task and whether it is urgent. The analyst will work with the Product Manager and the Product Analytics team manager to prioritize the new task relative to other tasks they are or will be working on.
Others
Other staff may refer to the Research and Decision Science request process on Office wiki for ad-hoc requests. We currently do not accept requests from people outside the Wikimedia Foundation.
Advice and consultations
Some questions may be suited to consultation hours hosted by everyone on the team. Analysts host weekly.
Project proposals and collaboration invitations
If you would like to talk with us about a large project (e.g. a potential annual plan project) or receiving long-term/dedicated support for your team or project, please contact the team manager.
How to contact us
Group mailing list: product-analytics
wikimedia.org
Further information
Data references and reports
- Comparison datasets
- Data Dictionary (documents data sources, such as those available in Superset and Turnilo)
- Data Glossary (definitions for core and other essential metrics)
- Data Products (various deliverables such as reports, analyses, and datasets)
- Movement metrics
- ETL jobs
Guidelines and best practices
Documentation for tools we use
- Phabricator (managing requests and tracking work)
- Superset (WMF internal dashboards and reports)
- Obtaining access to Superset/Turnilo, with explanation of LDAP/Developer Account terminology
- Hive
- Turnilo (WMF internal tool for pivoting and exploring data)
- Event Platform (Various event stream distribution and processing systems we employ at WMF)
- Matomo/Piwik (JavaScript tracking client used for wikimediafoundation.org and other smaller-scale sites)
- Wikimedia Infrastructure
- Google Search Console access