Growth/Personalized first day/Newcomer tasks

This page describes the growth>Growth|Growth team's work on the "newcomer tasks" project, which is a specific project under the larger "PFD>Special:MyLanguage/Growth/Personalized first day|Personalized first day" initiative. This page contains major assets, designs, and decisions. Most incremental updates on progress will be posted on the general Updates>Special:MyLanguage/Growth/Growth team updates|Growth team updates page, with some large or detailed updates posted here.

The design and planning for this project began on 2019-07-24.

Current status
team meeting to discuss technical approaches
 * 2019-07-24: first team meeting to discuss newcomer tasks
 * 2019-08-27: team meeting to go over design concepts.
 *  Next :

Summary
We think that newcomers should have every opportunity to succeed when they first arrive at the wiki. But frequently, newcomers attempt a task that is too difficult for them, can't find a task they want to do, or can't find ideas for how to remain involved after their first edit. This leads to many of them leaving and not coming back. There have been successful attempts in the past at recommending tasks to editors, and so we believe that the Homepage>Special:MyLanguage/Growth/Personalized first day/Newcomer homepage|newcomer homepage is a potential place to recommend relevant tasks for newcomers.

 We'll need to keep in mind a few things: 
 * Many newcomers arrive with something specific in mind they're trying to accomplish, like add a specific photo to a certain article. We don't want to get in the way of them accomplishing their goal.
 * Newcomers build up their skills over time by progressing from easier edits to hard ones.
 * When newcomers are successful early on, they are more motivated to continue editing.

''' Taking those things into account, we want to recommend tasks to newcomers that... '''
 * ...arrive at the right time and place for a newcomer's journey.
 * ...teach relevant conceptual and technical skills.
 * ...gradually guide users to build up their editing abilities.
 * ...be personalized to their interests.
 * ...show them the value and impact of editing.
 * ...motivate them to participate continually.

A valuable tool we have for helping tasks be relevant to newcomers is the Report>Special:MyLanguage/Growth/Analytics updates/Welcome survey initial report|welcome survey, which was originally built specifically for this purpose: personalizing the newcomer's experience. We'll plan to use the optional information newcomers give about their goals and interests to recommend appropriate tasks for them.

One of the largest challenges is going to be figuring out how to gather tasks that are appropriate for newcomers to do. There are many existing sources, such as templates that call for work on articles, recommendations in the CX>Special:MyLanguage/Content translation|Content Translation tool, or suggestions from tools like [https://tools.wmflabs.org/citationhunt/en?id=bc3dae92 Citation Hunt]. The question will be which of those options help newcomers accomplish their goals.

At first, we'll focus on using the Homepage>Special:MyLanguage/Growth/Personalized first day/Newcomer homepage|newcomer homepage as the place to recommend tasks, but in the longer term, we can imagine building features that extend into the editing experience to recommend and help newcomers accomplish recommended tasks.

Also in the longer term, we'll be thinking about ways to tie task recommendations into other parts of the newcomer experience, such as the Impact>Special:MyLanguage/Growth/Personalized first day/Newcomer homepage#Impact module|impact module on the homepage, or into the HelpPanel>Special:MyLanguage/Growth/Focus on help desk/Help panel|help panel.

Why this idea is prioritized
To be written

Glossary
To be written

Comparative review
Our team's designer reviewed the way that other platforms (e.g. TripAdvisor, Foursquare, Amazon Mechanical Turk, Google Crowdsource, Reddit) offer task recommendations to newcomers. We also reviewed Wikimedia projects that incorporate task recommendations, such as the Wikipedia Android app and SuggestBot. We think there are best practices we can learn from other software, especially when we see the same patterns across many different types of software. Even as we incorporate ideas from other software, we will still make sure to preserve Wikipedia's unique values of openness, clarity, and transparency. The main takeaways are below, and the full set of takeaways is on this page:


 * Task types – bucket into 4 types: Rating content, Creating content, Moderating/Verifying content, Translating content
 * Incentives – Most products offered intangible incentives mainly bucketed into the form of: Awards and ranking (badges), Personal pride and gratification (stats), or Unlocking features (access rights)
 * Reward incentives – promote badges or attainments of specific milestones (e.g., a badge for adding 50 citations)
 * Personalization/Customization – Most have at least one facet of personalization/customization. Most common customization is user input on surveys upon account creation or before a task, most common system-based personalization type is geolocalization
 * Visual design & layout – incentivizing features (stats, leaderboards, etc) and onboarding is visually rich compared to pared back, simple forms to complete short edits.
 * Guidance – Almost all products reviewed had at least basic guidance prior to task completion, most commonly introductory ‘tours’. In-context help was also provided in the form of instructional copy, tooltips, step-by-step flows,  as well as offering feedback mechanisms (ask questions, submit feedback)

User testing
To be written

Measurement and results
To be written