PackIt
A mobile application to help users pack
In this case study
Background
User Interviews
Talked to ten women aged 20 to 30 years old to understand their packing challenges.
User interviews revealed that there was a need for an application to assist users in packing, specifically in what to pack and how much to pack. In addition, one interview gave insight into creating a feature where users could share outfits to an event or upcoming trip.
Competitive Analysis
Problem and Solution
Problem: The challenge of packing, whether it involves overpacking or failing to include essential items, significantly contributes to the stress associated with travel. The current market reveals that there is no current solution with packing assistance and event tagging.
Solution: PackIt provides tailored and versatile packing recommendations to alleviate the challenges of travel preparation while maintaining individual style.
User Persona
Utilizing data from user interviews, I developed a user persona to assist in making a user-centered solution.
User Tasks
To narrow the focus of this app and create a minimal viable product (MVP), I created three user tasks to showcase the three main features of this app: registering, packing an outfit, and getting outfit suggestions.
Task 1: User registers for app
In this flow, the user registers for the app and goes through the full onboarding process
Wires
User Testing
Initial user testing revealed that most users thought the 4 step onboarding was just the right amount of information needed before signing up. Users also noted that the questions were simple and fairly straightforward. However, most users did not understand what the difference was between a personal item and a carryon.
High Fidelity Solution
Since users needed more information to decide what bag to bring, I added an information icon that will give users the average dimensions and description of each bag size. In addition, provide them with generally how many days of clothing each bag will carry.
Task 2: User adds new outfit to bag
In this flow, the user chooses a trip and adds a new outfit to their bag
Wires
User Testing
User testing revealed that most users enjoyed being able to see the overview of how much they packed and how much more they had to go. Some users thought that the term “Suitcase” was outdated and enjoyed terms such as “Bag” or “Luggage” better. Finally, users didn’t understand why “Your Closet” and “Camera Roll” were separate.
High Fidelity Solution
Due to users believing the term suitcase was outdated, in the high fidelity design, I renamed “Suitcase” to “Bags.” In addition, after hearing the user’s confusion over the multiple tabs, I condensed the “Camera Roll” and “Your Closet” into one tab with a camera icon for users that would like to add more outfits via their camera.
Task 3: User receives outfit suggestions
In this flow, the user receives outfit suggestions from PackIt and adds one to their bag
Wires
User Testing
Users seemed the most excited about the outfit suggestion feature and some noted that this would be one of the main reasons they would use the app. However, some users did note that getting to the suggestions took a lot of clicks.
Revised User Flow
Since users believed getting to suggestions took them too long, I added a notification that would serve as a shortcut to immediately view the new suggestions.
High Fidelity Solution
Revising the flow shortened and simplified the user journey for users to view their suggestions significantly.