Whatcipe Food App

Client

Whatcipe

Year

2026

Role

Product Designer, UX Resercher

Tools

Figma, FigJam, Google Form

Mobile App

Design System
Mobile App
User Research

ScrollTarget

JUMP TO SOLUTION

What is Whatcipe?

This project focuses on designing a Food Recipe Application with AI implementation aimed primarily at students and young adults who struggle with everyday questions such as “What should I cook?” and “How do I use ingredients I already have at home?”.

My Role

In a team of 2 members. I was in charged of all phases and design process, using a combination of competitor analysis, heuristic evaluation and a user survey. Then, I followed-up with my design decisions such as sitemap, personas, user journey, information architecture and later prototyping and testing.

CONTEXT

What should I eat today?

The most common question that students and youth used to ask while doing school in university, I found out that 61–64% of Gen Z lack confidence in basic cooking and 76% of UK adults experience “decision fatigue” when planning meals.

This story became the foundation of Whatcipe

RESEARCH

Competitor Analysis

To understand the current landscape of recipe and meal-planning applications,
I conducted a competitor analysis focusing on interaction design, key features and overall usability.


Heuristic Evaluation

As part of our research we conducted a heuristic evaluation on one of the applications from our competitor analysis. We utilized Nielsen’s 10 usability heuristics as a basis for our findings. Our evaluation focused on Mealime, a meal-planning app that advertises easy-to-use features, healthy home-cooked meal options and personalized selections.



Survey

We wanted to have realistic data to create personas, user journeys that are based on the user's needs,
so we conducted an online survey to understand everyday cooking habits, pain points, and expectations around AI supported recipe tools.



KEY FINDING #1

79% cook a full meal more than three times weekly.

86% struggle with the daily question: “What should I cook?”

100% find it useful when the app suggest the recipe that they can cook with



KEY FINDING #2

How comfortable are you
with apps that uses AI to suggest recipes?



DEFINE

Whatcipe's Core Audience

We analysed the survey answers and divided similar patterns, which led to two categories


man headshot

Linda William

22 years old, international student in Jönköping

Bio

  • Shares a small apartment with one roommate

  • Cooks 3–4 dinners per week, orders takeaway or eats on campus the rest

Goals & Needs

  • Quickly decide what to cook tonight without scrolling forever

  • Use up ingredients she already has so they don’t go bad

  • Cook simple, tasty food and affordable

Frustration

  • Stares at the fridge thinking “I have food but nothing to cook”

  • Low energy after classes, no patience for long onboarding or complex filters

  • Forgets what she bought, feels guilty about food waste

  • Traditional recipe apps feel heavy to use and not personalised


Userflow & Information Architecture

I created a sitemap that focuses on quick access to the core flows: “Cook with what I have”, "discovering new recipes”, “Photo-to-recipe”.
Which helped us to have the foundation before moving to the design process.


SOLUTION

Starting from low-fidelity sketches

These sketches helped me to turn ideas into pre-visual screens and design direction,
which are backed by research insights gathered from research phase.

Branding, Design system & Hi-fi Screens

I developed a simple brand identity and design system for the app.
The visual identity focuses on clarity, friendliness, reflecting my goal of making cooking feel less overwhelming and more enjoyable.


On Boarding Flow

This flow focuses on gathering eating habit from users
to suggest dishes based on their favorite ingredients


Cook With What You Have

With this feature users can now cook with anything they have at home
without thinking or wasting time looking for recipe by browsing on social media


Photo to Recipe

Users can save their own recipes
through capturing images of any dishes they saw at a nice restaurant or coffee shop



VALIDATION

Usability Testing

To evaluate the clarity, usability and overall experience of the Whatcipe prototype,
we conducted four usability tests with our target group


Results

Finding 1

AI is accepted conditionally
Comfort ratings 6.5 - 8/10, all caveated on accuracy


Finding 2

Discovery paths diverged
100% completion masks hesitation



Across all five participants,
the app shows strong usability,
particularly in browsing and input tasks

REFLECTION

Summary and reflection

Overall, the process highlighted the value of early testing, iterative design and grounding design decisions in user behavior rather than assumptions and started designing the UI quickly. It also created the balance between AI functionality and clear communication to ensure users feel supported by technology.

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Pause a sec

Vibe

Build

Create

with me

Open the menu, press play and enjoy my jam ;)

Quan's iPod
All Songs

QUAN

Pause a sec

Vibe

Build

Create

with me

Open the menu, press play and enjoy my jam ;)

Quan's iPod
All Songs

QUAN

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