IKEA

AI Design

Ideating what IKEA's buyback program would look like on the app

Designer2024Research, Design, AI

Summary

As part of a hackathon hosted by Liftyz and Design Buddies, I worked with a team of designers across the U.S. to update IKEA's current buyback/resell program. The initial site page presented problems for the program. Working as a researcher and designer in the group, I turned to Reddit for a user sentiment analysis. From the insights from the sentiment analysis, I learned that users were frustrated by the slow pace and multiple redundant steps within the program (verifying and vetting the item and meeting IKEA staff just to have their item rejected at the last minute). Working within IKEA's current design system, I implemented AI into some of IKEA's features, hoping to make the resale program easier.

Pain points

Current user flow of resell program

Program had too much user friction
The start page of the buyback program was located in an unexpected place.

The program seemed disjointed from its purpose— to reduce furniture waste by 2030.

Key pain points, obstacles or problems:

Buried program,
Too many steps

Solutions

Leverage AI to facilitate the identification and vetting process
Find a new starting point for the ressl flow

Main flow: From past purchases, users can start the resale process, ensuring that vetting and identification is faster.

As-Is flow. User gets a notification if an item from their favorited cart is added to inventory from a resell.