Dagoberto's Portfolio | Roamio Case-Study

Project Information

Case Study

PackPoint/Packr

AI Packing Assistant

Duration

2 Weeks

UX research to HiFi

Role

Researcher, Designer

Research, prototyping

Challenge

Smart Clothing-Packing

Simplify & make inclusive

How might we improve on existing packing apps by prioritizing speed, relevance, and inclusivity over exhaustive customization?

Competitive Analysis

PackPoint

Requires multiple steps to get list results.
Presets are gender based.
Results in long and everyday items.
Customization is restricted to paying customers.

Packr

Requires multiple steps to get list results.
Presets are gender based.
Results in similar items, long, and less flexible.
Customization is restricted to paying customers.

UX Implication

Reduces the speed of obtaining list results.
Reduces inclusivity and introduces unnecessary barriers.
Increases scanning effort.
Makes it hard to tailor for real needs.

Initial Sketches

Initial sketches were created to explore the app's screen layouts and user flow. While common mobile app patterns informed the overall structure, special attention was given to the exercise experience screens, which serve as the app's core feature. To promote ease of use, the interface was intentionally kept minimal, resulting in exercise screens that followed a consistent and cohesive design as can be seen in the HiFi design.

Low-Fidelity Wireframes

As part of the next phase, low-fidelity wireframes were developed to translate initial sketches into more realistic screen layouts. This step made it easier to evaluate visual hierarchy, core interactions, and conduct early usability testing.

Landing Page

Signup Page

Login Page

Home Page

Destination & Date Page

Day 1 Page

Day 2 Page

Review Page

High-Fidelity Designs

Below are the final high-fidelity screens for Roamio, an AI-powered packing assistant app. The product was shaped through competitive app analysis, iterative wireframing, and usability-focused design decisions. The final experience combines intuitive interactions, inclusive design principles, and a refined visual system to address key usability gaps commonly found in existing packing and travel apps.