增長/增長团队的最新进展
本页的內容為增长团队的工作最新进展，以便增加新编辑者的激活率和保留率。 这项工作的规划于2018年6月开始。 该团队雖然在同一时間从事多个项目，但它们都會在这个页面上讨论。
如何参与
我们的工作是立足于我们想要帮助的社区的實際情況之上，這是很重要的。 如果你对这个项目或我们团队的工作有任何想法或意见，请在这个项目的讨论页上发表评论。
项目的最新进展
2026的最新进展列在下面，其內容來自这个页面。監視 2026的最新进展。
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Growth team updates: 2025, 2024, 2023, 2022, 2021, 2020, 2019, 2018.
- On January 26, 2026, the Revise Tone task launched to 50 percent of logged-in users on English, Spanish, French, and Arabic Wikipedias (T413065).
- In the first five days on English Wikipedia, more than 1,500 edits were completed, with a revert rate under 2 percent, well below typical newcomer rates. Revise Tone edits are visible by narrowing to the Suggested: revise tone task in Recent Changes (on pilot wikis).
- Early community spot checks and Product Ambassador reviews found most edits to be constructive. Early feedback from newer editors reinforce the value of offering tasks with different levels of complexity as editors gain confidence.
- Initial Revise Tone metrics show most users who start the onboarding quiz complete all five questions, suggesting this is a more engaging way to introduce editing norms than previous less-interactive onboarding.
- We are starting engineering work to A/B test an improvement to the "Logged out warning message" that appears when a logged out user on mobile navigates to edit (T415160).
- We are also conducting early research to document the existing validation logic used in the Account Creation form, with a focus on username validation, password validation, and related error messages (T414235). We will also complete a brief investigation to figure out how we can modify these forms in a clean way, gated by a feature flag, and so that we can toggle it with a Test Kitchen A/B test (T415689).
The Revise Tone Structured Task is scheduled to launch on January 22, 2026, to 50 percent of users on English, Arabic, French, and Portuguese Wikipedias (T413065).
Growth Product Ambassadors have communicated the plan across all participating wikis, and no objections have been raised. An opt-in mechanism for experienced editors has been implemented (T414499), using a reusable URL parameter override that simplifies internal and volunteer testing.
A high-priority Revise Tone bug has been resolved (T413358). Work is also wrapping up on onboarding quiz improvements to ensure availability via the Help Panel while preventing repeated exposure to the same users (T414245, T413368).
The ML team is improving filtering for quotes and certain article sections, which must be completed before the A/B test launch (T412210). Additional ML performance optimizations are under consideration but are not blocking the experiment (T411758).
The Growth team has shared initial ideas for its next focus area. These will be discussed with pilot wikis in the coming months, with designs shared as the strategy develops. Current plans include four potential experiments, which may evolve based on community feedback and team capacity:
- 1. Improving the Account Creation Experience: Simplify and modernize the core account creation flow, with a focus on mobile usability and clarity. Reduce cognitive load by streamlining the interface, consolidating legacy warnings, and clearly communicating the benefits of account creation in newcomer friendly language.
- 2. Encouraging Temporary Accounts to Register: Explore when and how temporary account holders are most motivated to create a permanent account. Test targeted prompts at high intent moments, supported by lightweight research such as surveys, and emphasize how registration unlocks features like mentorship, Suggested Edits, and community recognition.
- 3. Making Account Creation Easier to Find on Mobile: Address the limited visibility of account creation for logged out mobile readers by testing clearer, more intuitive entry points and better differentiation between login and registration.
- 4. Surfacing Reading Lists to Logged Out Readers: Explore whether exposing Reading Lists to logged out readers can drive deeper engagement and encourage account creation by demonstrating how an account enhances the reading experience through a low pressure path to registration.
The Wikimedia Research team has published findings from two research projects that examine how new editors on English Wikipedia learn, ask questions, and integrate into the community, combining in-depth analysis of mentorship systems with a broad survey of successful newcomers’ tools, experiences, and sentiments. By linking how newcomers seek help and receive guidance with what enables them to persist and succeed, the work provides a more holistic foundation for improving early contributor support and shaping Growth team interventions.
- This work explores how mentorship for new editors functions on English Wikipedia, with the goal of making it more effective and sustainable for both newcomers and experienced volunteers. It combines qualitative analysis of newcomer questions and trajectories, quantitative measurement of mentorship activity across core help spaces, and early prototyping of tools to address observed gaps.
- The research finds that mentorship serves both technical and social learning needs, that many newcomers disengage quickly if responses are slow or unclear, and that mentors face high cognitive and time burdens despite growing demand, especially in article creation support. Large-scale analysis of hundreds of thousands of questions highlights recurring themes and duplication, suggesting opportunities to better route, surface, and answer common questions. This work helps lay the groundwork for future interventions that could reduce mentor load while helping newcomers get timely, relevant guidance.
- This project surveys successful newcomer editors on English Wikipedia to understand which tools, features, and community spaces they discover and use early in their editing journeys, as well as their interactions, sentiments, and emerging interests. Using a representative survey of editors who registered within the past six months and reached at least 25 edits, the research provides insight into tool awareness and usage, mentorship experiences, mobile editing challenges, help-seeking behaviors, and perceptions of community feedback such as reversion and thanks.
- The findings highlight strong intrinsic motivation and intent to continue editing, alongside significant gaps in awareness of community spaces, uneven experiences with mentorship and reversion, and a strong preference for independent ways of finding answers, including search engines and generative AI tools. Results also show meaningful differences by edit experience and editing platform, especially for mobile-first editors.
- This work informs Growth team product decisions, including the Newcomer Homepage, and contributes foundational evidence for the Wikimedia Foundation’s 2025 Annual Plan for Contributor Experience and future newcomer research across languages.
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