The data has the following two files:
A user file ("takehome_users") with data on 12,000 users who signed up for the product in the last two years. This table includes: name: the user's name object_id: the user's id email: email address email_domain: domain of email address, e.g. gmail.com creation_source: how they signed up for the product. This takes on one of 5 values: PERSONAL_PROJECTS: invited to join another user's personal workspace GUEST_INVITE: invited to an organization as a guest (limited permissions) ORG_INVITE: invited to an organization (as a full member) SIGNUP: signed up via asana.com SIGNUP_GOOGLE_AUTH: signed up using Google Authentication (using a Google email account for their login id) creation_time: when they created their account last_session_creation_time: unix timestamp of last login opted_in_to_mailing_list: whether they have opted into receiving marketing emails enabled_for_marketing_drip: whether they are on the regular marketing email drip org_id: the organization (group of users) they belong to invited_by_user_id: which user invited them to join (if applicable).
A usage summary file ("takehome_user_engagement") that has a row for each day that a user logged into the product.
We define an "adopted user" as a user who has logged into the product on three separate days in at least one seven-day period. Because we believe that adopted users are more likely to be successful at using Asana in the long term than those that are not adopted, we want to know what things are likely indicators of future adoption. With this in mind, we'd like you to identify which factors predict user adoption.
We suggest spending ~3 hours on this, but you're welcome to spend more or less. Please send us a brief report with your findings, along with any summary tables or graphs that you think will help us better understand them. We will not consider more than 1 page of text and 1 page of supplementary visuals. Please also include all of the code you used to arrive at your results. We will be grading the report and your code.
The target audience for this write up is someone outside of the data science team (i.e. an engineer or product manager) who will be making decisions about the initial experience users receive when they first create their accounts. Their work will focus on improving this experience to increase adoption, so they'd like to know how successful Asana currently is at getting different types of users to adopt.