dinnerfy

Put Dinner on Autopilot

Automated dinner & grocery ordering

What I did

  • Conducted competitor analysis


  • Collaborated closely with the client to understand user needs


  • Designed & iterated wireframes and prototypes


  • Enhanced recipe discovery, navigation, and grocery planning


  • Refined interactions based on user feedback

The Impact

3x

Faster meal planning

82%

Users experienced reduced meal-planning stress.

4.2/5

Avg. rating on Product Hunt

Overview

Dinnerfy is an AI-powered meal-planning app designed to simplify dinner decisions and streamline grocery shopping.

By learning user preferences, it generates personalized weekly menus, compiles grocery lists, and integrates with delivery services. The app's intuitive swipe interface makes choosing recipes effortless, while its AI backend ensures dietary needs and preferences are always met.

Wireframes

In the ideation phase, I explored UI/UX concepts through brainstorming and design iterations, creating wireframes to visualize the user flow and interface layout.

Design System

the MVP: dinner in 3 easy steps

Design Decisions

I analyzed insights from comprehensive user testing conducted by the client, identifying key areas for improvement. Using this feedback, I iterated on the design to enhance the overall user experience.

Here’s a look at the key refinements I made:

Calendar Feed

Before

After

Swipe/ recipe screen

Before

After

Shopping Cart

Before

After

Swipe screen evolution

Overview

  • User Feedback Is Key
    Iterative refinements ensured a polished, user-centric experience.


  • Clear Visual Hierarchy
    Highlighting today’s meal reduced cognitive overload for effortless selection.


  • Smart Ingredient Grouping
    Organized shopping lists streamlined meal prep, proving small UI tweaks drive big usability gains.

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