Pocket Planner
The Case for a Gameified Personal Productivity App
User Testing Facilitation
Cardsorting
Linguistic Analysis
Speak Aloud Testing
Benchmarking
Our Team was tasked with developing an application pitch that would solve the issue of time management amongst a university student demographic. Our research shows that gameified user-experiences retain user-interests in otherwise mundane tasks.
This report collects benchmarking data, user tests, and linguistic analysis to better understand user-behaviour to ensure the proposal aligns with user expectations.
Background
University students struggle with implementing healthy working routines to manage the stress of time management. Analysis of the market reveals that competitors focus heavily on business solutions to address time management, with a gap in the student market. The proposed solution in this report suggests the value of ‘gamifying’ the user's experience to support organization, time management, and prioritization amongst students.
Card sorting exercises informed the categorization of the navigation tree
We first collected benchmark data from the main productivity competitors to see what features they have and where the apparent gaps may be. We then used this benchmark data to develop a list of features and pages which were then written on digital stickies and sorted by user testers.
The card sorting data was then aggregated and key insights were synthesized to create a sensical navigation tree for appropriate information architecture.
Card sorting exercises informed the categorization of the navigation tree
Speak aloud protocols were used to determine pain points and user behaviour
Users were tasked with completing three tasks whilst being recorded and timed.
After testing with around 12 users the following changes were given:
The following recommendations are suggested based on user test results:
Update Lists category and make different list options easier to distinguish
Update dashboard to be more clear as the home page
Update side menu navigation to support users find different pages easier
Update bottom bar menu to support users for quick navigation
Unaligned and complex language confused users and negatively affected their ability to perform tasks
a sentiment analysis was run on the speak aloud transcripts using the software AntConc.
Heat map of corpus sentiment analysis with 50 clusters. Red represents a higher intensity and white a low intensity registering.