Tiffany Trinh

TASTIFY

In a world full of cooking apps, many bombard users with dense text and make it difficult to find the desired recipe. Recognizing the absence of user-friendly cooking apps, our project aims to address this gap by creating a social media platform tailored for novice to intermediate cooks.

Skip to the Reflection

Role

UX/UI Designer

Duration

November 2023 - May 2023

Tools & Skills

Figma, User Research, User Testing,
Wireframing, Prototyping

Worked with

Dawson Jen, Mai Nguyen,
Soomin Lee and Grace Yu

Back

User Research

Initial Thinking + Lo-Fi

Hi-Fi Prototype

Reflection

User Research

Acknowledging how overwhelming cooking platforms can be, we conducted interviews with individuals of varying cooking skill levels to gain insights into their challenges with finding and following online recipes.

Our group then created user personas based on those interviews, delving into the concrete tasks and challenges faced by our interviewees.

initial thinking + lo-Fi

THOUGHT
PROCESS

Through analyzing our responses from the interviews and brainstorming iterations, we created an overarching goal:

Create an accessible community for cooking and recipe sharing

Our group then conducted cognitive walkthroughs involving predefined tasks not disclosed to users. These tasks were categorized into two primary objectives: firstly, assessing users' ability to open a recipe from the homepage, and secondly, gauging their proficiency in filtering through recipes.

While successful overall, we identified three main areas for improvement, alongside several other minor changes:

Group search filters into broader categories
Move the “community” tab for better alignment
Redesign the login page with toggles and clearer forms

Hi-Fi prototype

Results
+
Statistics

Reflection

To create human-centered designs, one must accommodate for humans with various skill levels and backgrounds.

The heuristic evaluation revealed the importance of considering user perspectives, as details overlooked by creators became apparent.
Having a diverse testing pool ensured that feedback encompassed perspectives from various skill levels and backgrounds, facilitating a more thorough understanding of user needs and preferences.