Wikimedia Product/ml

Annual Roadmap

 * Annual Plan for Audiences 2018-2019
 * Annual Plan for Product 2017-2018
 * Annual Plan for Product 2016-2017
 * 2016 Product Summary
 * 2015 Product & Technology Review

Across Audiences

 * Product Principles
 * Technical Collaboration Guidance
 * Community Process Principles
 * Design Statement of Purpose
 * Data and research information for products
 * Monthly Research Showcases
 * New Content Program metrics reports.

പരിപാടികൾ

 * Audience Research
 * Community Health Initiative
 * New Editor Experiences
 * പുതിയ വായനക്കാർ — on-going research that focuses on understanding potential Wikimedia readers in countries where access to the Internet is quickly growing.
 * Structured Data on Commons

Project Pages
Annual Plan goal: New Content


 * Advanced Mobile Contributions
 * Android Editing Features
 * Content Translation, V2
 * Growth
 * Improve Translate Extension and Translate Wiki process
 * iOS Editing
 * Visual based mobile editing

Annual Plan goal: Better Use of Data


 * Better use of Data
 * Data collection: Instrumentation
 * Report stewardship

Annual Plan goal: Community Wishlist


 * Wishlist
 * Support for smaller user groups
 * Tech tools for program and event organizers

Annual Plan goal: Anti-Harassment Tools


 * Reporting system

Annual Plan goal: Wikidata

Other:


 * Annual Pan goal: Platform Evolution CDP
 * Invest in the MobileFrontend & MinervaNeue frontend architecture
 * Parser unification
 * TemplateStyles
 * Movement Organizers Study

Audiences teams
An Audience team covers a set of features developed according to specific user flows and needs.

En:Sparkline

സംഭാവന ചെയ്യുന്നവർ
We build collaborative, inclusive tools for creating and editing free knowledge.


 * Page: Contributors
 * Phabricator task boards: #Contributors-Team; #Collaboration-Team-Current, #ContentTranslation-Release8, #Parsoid, #VisualEditor
 * Teams:

Language
Analysis

Like September, this was an unusually good month for active editors, with all the subcomponents rising year on year. We are currently researching the role that participants in Wiki Education Foundation’s programs are playing in the new active editor and new editor retention metrics; preliminary work suggests that they are having a noticeable effect.

The global revert rate has continued to drop substantially; our hypothesis is that this is due to the continuing rise of mass editing on Wikidata, which inflates the number of edits without increasing the number of reverts.

Notes

¹ Editor location data is deleted after 90 days, so it is not possible to calculate trends from before the metric was established. Trends started to accumulate in June 2018.

² Pageviews (all platforms) + seen previews (desktop).

³ The rollout of the page previews feature was completed less than a year ago.

⁴ A delay in the calculation of new editor retention meant that the geolocation data used to judge whether a new editor comes from the Global South or Global North was deleted before the calculation could be completed (under our privacy policy, this data must be deleted after 90 days). We will assess our calculation pipeline to determine how to prevent this from happening in the future.

Analysis

This month, we have updated our definition of Global South to exclude IP addresses that our geolocation database cannot assign to any particular country (“unknown countries”).

This has had a relatively small impact on Global South reader interactions and editors, since unknown countries account for less than 1% of both interactions and editors. However, it has had a very large impact on Global South edits, which declined from 9.05 M last month to 1.98 M this month. The main reason seems to be that the IP addresses used for the Wikimedia Cloud Services platform do not appear in our geolocation database, so bulk edits made on the platform are categorized as from unknown countries.

Metrics analysis
Overall, the trends this month are as before. Notable continuing trends include:


 * The gradual increase in existing active editors. This trend is also reflected in a gradual increase in the monthly number of editors with 100 or more edits per month, also know as very active editors (see graph).
 * The decline in newer contributors, which affects a broad spectrum of editors.
 * The (continued) growth of mobile contributions.

Readers
We build exceptional learning and reading experiences for the sum of all knowledge.


 * Page: Readers
 * Phabricator task board: #reading
 * Teams:

Reading Web

 * Reading code responsibility





Metrics analysis
We continue to see a notable year-over-year increase in pageviews, although a bit smaller this month (3% compared to 4% in August).

As before, keep in mind that the decrease in desktop pageviews is partly due to the deployment of the page previews feature over the course of the 2017/18 fiscal year.

Unique devices also increased year-over-year like in previous months, but this metric might be more susceptible to artifacts that decrease the accuracy of such longer-term trend assessments.

Technical Program Management
We are dedicated to guiding delivery processes and facilitating team health through good practices.

Page: Audiences Technical Program Management

Lead: Grace Gellerman

Design
We make sharing of all human knowledge easy and joyful. For everyone.

Page: Design

Lead: Nirzar Pangarkar

Product Analytics
We make recommendations based on results of analyses, advocate for ethical data practices, and educate on topics around data and statistics.

Page: Product Analytics

Lead: Kate Zimmerman

Product Design Strategy
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Page: [link here]

Lead: Margeigh Novotny

Wikidata
Wikidata is a free and open knowledge base that can be read and edited by both humans and machines. This project is maintained by the Software Development & Engineering department at Wikimedia Deutschland.


 * Page: Wikidata
 * Lead: Lydia Pintscher
 * Phabricator bugs & tasks board: #wikidata
 * Discussion List: wikidata@lists.wikimedia.org

Goals
WMDE Fiscal Year 2016 WMDE Fiscal Year 2017
 * Q1: January – March
 * Q2: April – June
 * Q3: July – September
 * Q4: October – December
 * Q1: January – March
 * Q2: April – June
 * Q3: July – September
 * Q4: October – December