Fridge Buddy

Your smart foodie companion.

Scope: 4 months | Team: Sole designer | Tool: Figma

User Research

Fridge Buddy was an idea based on two pain points, what do I do with my leftover food in my fridge and wishing there was a way to see what was in my fridge while at Costco. Fridge Buddy would be a mobile app that could enhance food utilization and fridge management.  

Define my audience

To ensure I was interviewing users that fit my project goals, I sent out a survey to 30 participants. From these surveys, I was able to narrow down my participant pool to 6.

  • Basic information (age, dietary needs/goals, # of people in your house)
  • Do you have a fridge?
  • How often do you cook from home?
  • How often do you go grocery shopping?

1:1 User Interviews

Once I narrowed down my participant pool to 6, I held 1:1 user interviews over Zoom and in-person.

Questions that I asked were:

  • What benefits (if any) do you see from this product? Can you identify at least three (3) ways a product like this could benefit you?
  • What features would you expect from a product like this? Can you identify at least three (3) features and rank which ones are the most important?
  • Have you used any products similar to this? Do you see any features that are different in this product as compared to others you have seen?
  • Do you have you any final recommendations for the product?

After interviewing, it became evident that the pain points were:

  • Achieve and maintain health goals and needs
  • Try new recipes
  • Efficient grocery shopping

Based on the pain points, I built three profiles that I felt would use my product.

Competitive Audit

There were three products similar to Fridge Buddy, SmartThings, SmartHQ Home and Smarter.

After reviewing each competitor, I identified gaps and Fridge Buddy opportunities.

Open up the Problem

This led to the problem statement!

How may we track/enhance individuals food utilization and fridge management by introducing AI and personalization?

Card Sort

I first identified three most common task flows: Onboarding, Finding new recipes and Little Chef AI. To figure out what steps should be included in these task flows, I conducted a card sort with my target audience.

Participant Feedback

Task Flows

Little Chef AI
Finding a new recipe
Onboarding

Sketches

Paper Wireframes

Test Ideas

Usability Study

Study Type: Moderated
Location: California
Participants: 4

Onboarding Feedback

Finding a new recipe

Little Chef AI

Refine the Design

The second usability study used a high-fidelity prototype. I ran another usability study with the same 4 participants.

Onboarding

Finding new recipe

Little Chef AI

Build Scenario Flows with Hi-Fi Wireframes

The final high-fidelity prototype had a clear user flow, scannable content and modern visual design. It also met user needs for an improved layout.

View Prototype

Conclusion

Impact

✔️ Users felt like this would help them save money, inspire them to try new cuisines and fuel confidence in cooking more from home.  

What I Learned

💡 How to design a support chat bot

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