This week Veronica has been learning Google Analytics to see how the app has grown. One of the questions Hisako had was been where in the world are the users and how much time do users spend in the app on average.
Since the app was released a surprising number of users have found the app and have been using it. Users have been requesting features and providing feedback on the Play Store and Chrome Store.
Some teachers have even tweeted about the app!
This summer Veronica will be looking over iLanguageCloud user reviews in order to document what needs to be done in the next releases. First she found that most of the reviews indicate that there are different user groups who have different goals when they open the iLanguageCloud project. Some users want to paste a full text and see a cloud, but most users want to see all the words they paste.
She started by identifying the user types with a CouchBD map reduce and learning how to do statistical analysis in LibreOffice. Once she had identified stats to categorize user types, she added tests for these user types in the codebase using Jasmine.
Users are often creating tag clouds, not full text clouds. We attribute this to users being used to having to pre-filter their words to only the words they want to show with random text sizes rather than text size which depends on their frequency or other factors.
While she is learning the tools (Angular.js, Travis) to make the modifications so that her user types tests pass, Veronica created a video tutorial showing how you can use the Chrome app so that users can have some instructions.
Veronica is a former mechanical engineering student turned to psychology. In preparation for running experiments and automating statistical analyses this summer she will be learning Git, Sublime, CouchDB, LibreOffice, Google Analytics, Yeoman, Angular.js, Jasmine and Travis to give iLanguageCloud users an update based both on the what the users are requesting, but also based on a behavioural analysis of what users have tried to do.