Brewway

 

Brewway

Timeline: June - September 2025 (3 months)


Problem

Too Many Cafés, Not Enough Clarity

As someone who frequently visits cafés, I noticed how overwhelming it can be to choose the right one. While there are plenty of options, existing tools often surface the same popular spots without accounting for why someone is visiting, whether they want a quiet place to study, a social environment, or a quick grab and go stop

This leads to:

  • Review overload

  • Inconsistent or outdated information

  • Low confidence in choosing a café that fits the moment


solution

AI That Knows Your Taste


COMPETITIVE ANALYSIS + THE GAP

Beyond Maps and Reviews: The Missing Ingredient

I analyzed platforms such as Google Maps and Yelp to understand how users currently discover cafés. While these tools excel at location based discovery and reviews, they fall short in several areas

  • Recommendations are largely generic

  • Personal preferences are not meaningfully integrated

  • Vibe and context are buried in long reviews rather than surfaced clearly

Opportunity: Design a discovery experience that blends personalization, vibe based filtering, and clarity to reduce the need to cross check multiple apps


user interview

Brewing Insights from Real Café Lovers

Through interviews with students and young professionals, I learned that people want cafés for specific contexts like studying, socializing, or a quick grab-and-go, but struggle with review overload and inconsistent info. Users also value vibe (quiet, cozy, aesthetic) as much as menu quality

Key insights:

  • People choose cafés based on context such as studying, socializing, or quick visits

  • Users feel overwhelmed by long reviews and inconsistent information

  • Vibe attributes like quiet, cozy, or aesthetic matter as much as menu quality

  • Users want faster confidence in their choice without excessive scrolling

These insights directly informed how information would be structured and prioritized in the design


user persona

Designing for the Everyday Explorer

To keep user needs central throughout the project, I created a primary persona based on interview patterns. This persona guided decisions around personalization, information hierarchy, and feature prioritization


Paper Wireframes

Sketching to Solve

I began with rapid paper sketches to explore layout ideas and interaction flows. Working in low fidelity allowed me to test multiple concepts for search results, café profiles, and AI driven recommendations without getting attached to visuals too early.

This phase helped clarify which information needed to be immediately visible and which could remain secondary.


wireframes

From Sketches to Sips

Moving from paper to digital wireframes, I focused on clarity and scannability. Key café details such as vibe tags, amenities, distance, and context suitability were surfaced upfront to reduce cognitive load

The goal was to help users quickly assess whether a café fit their needs without digging through reviews


ui kit

Crafting a Visual Flavor

The UI kit established a warm café inspired visual language using rounded typography, soft colors, and clean components. Visual decisions reinforced a feeling of comfort and approachability while maintaining consistency across screens

The system was designed to scale as the product expanded to additional platforms


User testing + iterations

Taste Testing the Experience

I tested the mobile prototype with four users and asked them to complete key tasks such as finding a café for studying and saving a location for later

Findings:

  • Users found the mobile experience intuitive and easy to navigate

  • Multiple participants expressed interest in viewing café information on a larger screen when planning ahead

This feedback revealed an opportunity to extend the experience beyond mobile

Iteration:
Based on this insight, I spent the following two weeks wireframing and designing a responsive desktop version to support planning and cross device use


FINAL SCREENS

The Perfect Blend

The final design delivers a clean, intuitive experience where users can:

  • Discover cafés through personalized AI suggestions

  • Quickly assess vibe and suitability

  • Save cafés for future visits

  • Access café information across mobile and desktop


CONCLUSION + LESSONS LEARNED

Brewing Better Experiences

Designing Brewway reinforced the importance of listening closely to even small pieces of feedback. One suggestion, access to café information on desktop, meaningfully shaped the next phase of the project

Key takeaways:

  • Positive validation confirmed that the mobile experience was intuitive and enjoyable

  • A single insight can drive meaningful impact

  • Designing across devices highlighted the importance of flexible and responsive systems

If I were to continue this project, I would further refine the desktop experience and deepen personalization to create a seamless cross platform journey