Badanie Życzeń Społeczności/Priorytetyzacja
Ten artykuł został napisany dla wolontariuszy, zainteresowanych Badaniem Życzeń Społeczności i zaawansowanych redaktorów. My, Community Tech, opiszemy tutaj, jak planujemy naszą pracę nad realizacją propozycji po zakończeniu głosowania. Zamierzamy wyjaśnić nasze procedury wytwarzania oprogramowania. Zachęcamy do informowania nas o tym, jak jasny jest ten dokument.
Po każdej rocznej edycji Community Wishlist Survey pojawia się nowa lista propozycji uszeregowana według liczby głosów. Przez te lata uświadomiliśmy sobie, że zobowiązywanie się do realizacji top 10 to nie najlepszy pomysł.
Stworzyliśmy więc inną metodę na ustalanie priorytetowych propozycji. Oceniamy je systematycznie i transparentnie. Priorytetyzacja pomaga nam decydować, jak mamy pracować, dzięki czemu możemy zrealizować jak najwięcej życzeń. Oto niektóre założenia:
- Popularność propozycji powinna być bardzo ważnym czynnikiem wpływającym na nasze wybory, ale nie jedynym.
- Najlepiej jest pracować nad propozycjami w porządku strategicznym i ukończyć ich tak wiele jak się da.
- Inżynierowie i projektanci powinni pracować ze sobą razem bez blokowania się wzajemnie. Na przykład, gdy projektant bada propozycję i tworzy komponenty wizualne, inżynierowie skupiają się na propozycjach, które są całkiem techniczne.
- Najlepiej jest utrzymywać komunikację transparentną ze społecznością zamiast ukrywać szczegóły. Widoczność buduje zaufanie i sprzyja dialogowi.
Summary of criteria
Podczas priorytetyzacji przeglądamy 30 najpopularniejszych propozycji. Nie przeglądamy propozycji poniżej tego poziomu, ponieważ nie jesteśmy w stanie dopuścić więcej niż 30 życzeń na rok. Punktujemy propozycje na podstawie popularności, złożoności technicznej, produktowej i projektowej oraz wpływu na społeczność. Oto podsumowanie tych kryteriów:
Gdy już każda propozycja otrzyma ocenę, szeregujemy je i pracujemy według takiego rankingu. Tylko wtedy możemy:
- Pracować nad jak największą liczbę życzeń przy wykorzystaniu posiadanych przez nas zasobów.
- Wybrać te życzenia, które mają największy wpływ przy jednoczesnym uwzględnieniu, że będa bardziej złożone i wymagane jest ich utrzymanie.
Konsultujemy się też z innymi zespołami Fundacji i sprawdzamy, czy czasem już nie pracują nad projektami związanymi z analizowanymi propozycjami.
Złożoność techniczna
Kryteria
Our engineers estimate how much effort they would need to put into granting a wish. They prioritize less complex (more workable) projects. Whenever something is not clear, they try to overestimate rather than underestimate.
- Technical dependency – we check if the work requires interactions with other Wikimedia Foundation teams. It could be that part of the work needs to be on other teams' roadmap or that we need other teams' input or feedback before we can complete the wish. Examples of these are schema changes, security reviews, adding a new extension, and upgrading third-party libraries.
- Technical research – we ask ourselves if we know how to approach a particular problem. Sometimes we need to evaluate and consider our options before we can start thinking about a solution. Sometimes we need to confirm that what needs to be done can be done or is within what the platform we are working on can handle.
- Technical effort – we ask ourselves how familiar we are with the underlying code and how big or complex the task can be. A high-effort score could also mean that the code we'll be working with is old, brittle, or has some degree of technical debt that will have to be dealt with before we can start working on our actual task.
Skala
Each of these is ranked on a 1-6 scale:
1 - Najmniejsza Złożoność |
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2 - Średnio Zaawansowana Złożoność |
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3 - Średnia Złożoność |
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4 - Medium Large Complexity |
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5 - Large Complexity |
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6 - Extra large Complexity |
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Product and Design Complexity
Kryteria
Similarly to the assessments above, our designer estimates what effort should be made to complete a project. They prioritize less complex (more workable) projects. Whenever something is not clear, they tries to overestimate rather than underestimate.
- Design research effort – we seek to understand the level of research needed for each proposal. In this case, the research involves understanding the problem, either at the very beginning through initial discovery work (the scope and details of the project, surveys or interviews with community members), or later in the process through community discussions and usability testing (e.g. how do users contribute with and without this new feature).
- Visual design effort – a significant number of proposals require changes in the user interface of Wikimedia projects. Therefore, we check to estimate the change of the user interface, how many elements need to be designed and their complexity. For instance, using existing components from our design system or creating new ones, keeping in mind how many states or warnings need to be conceived to help guide users, including newcomers.
- Workflow complexity – we ask ourselves how does this particular problem interfere with the current workflows or steps in the user experience of editors. For example, a high score here would mean that there are a lot of different scenarios or places in the user interface where contributors might interact with a new feature. It can also mean that we might have to design for different user groups, advanced and newcomers alike.
Skala
Each of these is ranked on a 1-6 scale:
1 - Najmniejsza Złożoność |
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2 - Low Medium Complexity |
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3 - Medium Complexity |
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4 - Medium Large Complexity |
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5 - Large Complexity |
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6 - Extra Large Complexity |
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Wpływ na społeczność
In contrast to the two perspectives described above, this part is about equity. Practically, it's about ensuring that the majorities aren't the only ones whose needs we work on.
Depending on this score, proposals with similar numbers of votes and similar degrees of complexity are more or less likely to be prioritized. If a given criterion is met, the proposal gets +1. The more intersections, the higher the score. This assessment was added by our Community Relations Specialist.
- Not only for Wikipedia – proposals related to various projects and project-neutral proposals, are ranked higher than projects dedicated only to Wikipedia. [[Community Wishlist Survey 2022/Editing/Autosave edited or new unpublished article|Autosave edited or new unpublished article]] is an example of a prioritized proposal.
- Sister projects and smaller wikis – we additionally prioritize proposals about the undersupported projects (like Wikisource or Wiktionary). We counted Wikimedia Commons as one of these. [[Community Wishlist Survey 2022/Bots and gadgets/Tool that reviews new uploads for potential copyright violations|Tool that reviews new uploads for potential copyright violations]] is an example of a prioritized proposal.
- Critical supporting groups – we prioritize proposals dedicated to stewards, CheckUsers, admins, and similar groups serving and technically supporting the broader community. [[Community Wishlist Survey 2022/Admins and patrollers/Show recent block history for IPs and ranges|Show recent block history for IPs and ranges]] is an example of a prioritized proposal.
- Reading experience – we prioritize proposals improving the experience of the largest group of users – the readers. [[Community Wishlist Survey 2022/Editing/Select preview image|Select preview image]] is an example of a prioritized proposal.
- Non-textual content and structured data – we prioritize proposals related to multimedia, graphs, etc. [[Community Wishlist Survey 2022/Multimedia and Commons/Mass uploader|Mass uploader]] is an example of a prioritized proposal.
- Urgency – we prioritize perennial bugs, recurring proposals, and changes which would make contributing significantly smoother. [[Community Wishlist Survey 2022/Wikisource/Fix search and replace in the Page namespace editor|Fix search and replace in the Page namespace editor]] is an example of a prioritized proposal.
- Barrier for entry – we prioritize proposals about communication and those which would help to make the first contributions. [[Community Wishlist Survey 2022/Mobile and apps/Show editnotices on mobile|Show editnotices on mobile]] is an example of a prioritized proposal.
Wyniki z roku 2022 uszeregowane według Punktacji Priorytetów
These scores may change when we start working on the proposals. As we explained above, we have tried to overestimate rather than underestimate. Check out the proposals, in order of prioritization:
Wish | Popularity Rank | Votes | Engineering Score | Product and Design Score | Community Impact Score | Prioritization Score |
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[[Community Wishlist Survey 2022/Editing/Autosave edited or new unpublished article|Autosave edited or new unpublished article]] | 29 | 69 | 1.0 | 0.3 | 2 | 2.66 |
[[Community Wishlist Survey 2022/Miscellaneous/Get WhatLinksHere's lists in alphabetical order|Get WhatLinksHere's lists in alphabetical order]] | 22 | 74 | 1.3 | 0.3 | 2 | 2.63 |
[[Community Wishlist Survey 2022/Search/Enable negation for tag filters|Enable negation for tag filters]] | 26 | 71 | 2.0 | 0.3 | 2 | 2.47 |
[[Community Wishlist Survey 2022/Wikisource/Fix search and replace in the Page namespace editor|Fix search and replace in the Page namespace editor]] | 11 | 93 | 2.3 | 0.7 | 2 | 2.47 |
[[Community Wishlist Survey 2022/Multimedia and Commons/Improve SVG rendering|Improve SVG rendering]] | 5 | 108 | 4.0 | 0.8 | 3 | 2.44 |
[[Community Wishlist Survey 2022/Anti-harassment/Notifications for user page edits|Notifications for user page edits]] | 2 | 123 | 1.3 | 1.7 | 1 | 2.38 |
[[Community Wishlist Survey 2022/Miscellaneous/Check if a page exists without populating WhatLinksHere|Check if a page exists without populating WhatLinksHere]] | 14 | 89 | 2.7 | 0.7 | 2 | 2.38 |
[[Community Wishlist Survey 2022/Bots and gadgets/Tool that reviews new uploads for potential copyright violations|Tool that reviews new uploads for potential copyright violations]] | 4 | 109 | 4.3 | 2.7 | 4 | 2.21 |
[[Community Wishlist Survey 2022/Reading/IPA audio renderer|IPA audio renderer]] | 9 | 97 | 3.0 | 2.7 | 3 | 2.15 |
[[Community Wishlist Survey 2022/Reading/floating table headers|floating table headers]] | 24 | 73 | 1.0 | 2.7 | 2 | 2.14 |
[[Community Wishlist Survey 2022/Admins and patrollers/Mass-delete to offer drop-down of standard reasons, or templated reasons.|Mass-delete to offer drop-down of standard reasons, or templated reasons.]] | 25 | 72 | 1.0 | 2.7 | 2 | 2.14 |
[[Community Wishlist Survey 2022/Editing/Formatting columns in table|Formatting columns in table]] | 19 | 77 | 4.0 | 0.3 | 2 | 2.11 |
[[Community Wishlist Survey 2022/Editing/Select preview image|Select preview image]] | 8 | 100 | 3.0 | 2.0 | 2 | 2.07 |
[[Community Wishlist Survey 2022/Translation/Add DeepL as a machine translation option in ContentTranslation|Add DeepL as a machine translation option in ContentTranslation]] | 20 | 75 | 3.3 | 0.0 | 1 | 2.06 |
[[Community Wishlist Survey 2022/Search/Change default number of search results displayed|Change default number of search results displayed]] | 12 | 92 | 2.0 | 1.7 | 1 | 2.05 |
[[Community Wishlist Survey 2022/Editing/Better diff handling of paragraph splits|Better diff handling of paragraph splits]] | 1 | 157 | 3.3 | 2.3 | 1 | 2.04 |
[[Community Wishlist Survey 2022/Mobile and apps/Table sorting on mobile|Table sorting on mobile]] | 17 | 83 | 2.3 | 1.7 | 1 | 1.92 |
[[Community Wishlist Survey 2022/Miscellaneous/Enhanced Move Logs|Enhanced Move Logs]] | 10 | 96 | 2.7 | 2.3 | 1 | 1.79 |
[[Community Wishlist Survey 2022/Bots and gadgets/Gadget: Who is active|Gadget: Who is active]] | 26 | 71 | 1.3 | 4.0 | 2 | 1.76 |
[[Community Wishlist Survey 2022/Admins and patrollers/Show recent block history for IPs and ranges|Show recent block history for IPs and ranges]] | 3 | 120 | 4.0 | 3.7 | 2 | 1.61 |
[[Community Wishlist Survey 2022/Admins and patrollers/Reminders or edit notifications after block expiration|Reminders or edit notifications after block expiration]] | 20 | 75 | 3.3 | 3.2 | 2 | 1.57 |
[[Community Wishlist Survey 2022/Wikidata/Autosuggest linking Wikidata item after creating an article|Autosuggest linking Wikidata item after creating an article]] | 12 | 92 | 3.3 | 3.8 | 2 | 1.53 |
[[Community Wishlist Survey 2022/Mobile and apps/Full page editing|Full page editing]] | 30 | 67 | 2.0 | 3.7 | 1 | 1.42 |
[[Community Wishlist Survey 2022/Miscellaneous/Allow filtering of WhatLinksHere to remove links from templates|Allow filtering of WhatLinksHere to remove links from templates]] | 6 | 106 | 5.0 | 3.3 | 2 | 1.40 |
[[Community Wishlist Survey 2022/Citations/Automatic duplicate citation finder|Automatic duplicate citation finder]] | 6 | 106 | 3.0 | 4.2 | 1 | 1.36 |
[[Community Wishlist Survey 2022/Editing/VisualEditor should use human-like names for references|VisualEditor should use human-like names for references]] | 22 | 74 | 3.3 | 4.0 | 1 | 1.12 |
In addition, if you are interested in viewing a more granular version of the sub-components that make the prioritization scores, we've made the individual sub-components public:
These are proposals which we found will be worked on by other teams at the WMF or third-party open source when we went through the process of estimating their complexities:
Wish | Popularity Rank |
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[[Community Wishlist Survey 2022/Anti-harassment/Deal with Google Chrome User-Agent deprecation|Deal with Google Chrome User-Agent deprecation]] | 15 |
[[Community Wishlist Survey 2022/Mobile and apps/Show editnotices on mobile|Show editnotices on mobile]] | 15 |
[[Community Wishlist Survey 2022/Mobile and apps/Categories in mobile app|Categories in mobile app]] | 18 |
[[Community Wishlist Survey 2022/Multimedia and Commons/Mass uploader|Mass uploader]] | 28 |
Terminologia
Unmoderated user research
Using a tool like UserTesting.com to run “mocks” of our proposed design changes and see if we are designing the right wish solution-- it’s called “unmoderated” because we let users click around and see our designs makes sense without having to explain it to them
Quantitative data collection
The process of collecting data to understand how users are interacting with the current UI to understand the wish’s pain points -- be it data regarding clicks, visits, downloads, sessions etc. Data is often limited when we first tackle a wish due to lack of tracking it prior to wish, or nonexistent data due to privacy reasons
Qualitative data collection
Understanding the wish’s problem space by talking directly to users, be it interviews or via a survey at the beginning of the wish to understand the pain points and clarify how to tackle a solution
“Sourcing” users
The process of finding users who have the knowledge required to participate in our user tests and give us the information we need to understand if our design and product decisions are headed in the right direction. Some wishes are for advanced users, which are hard to source and not available in tools like UserTesting.com
Przebudowa kodu
The process of making the existing code more maintainable so that other people may contribute to the code, as well as removing technical debt and bugs.
Zmiany w strukturze bazy danych
The alteration to a collection of logical structures of all or part of a relational database. When a change to an existing database is needed, it must be designed and then approved by a team external to CommTech. This usually takes more time and adds structural complexity to the project.
Third party code
Code written outside of the Community Tech team, examples include APIs or libraries.