Overview

Makuake is a leading crowdfunding platform in Japan. I redesigned the Home Tab to help users find attractive items based on their interests.

Problem

The number of new items rapidly grew due to Makuake's IPO, making it difficult for new users to find things they were interested in using the Home Tab.

Constraint

• Not enough machine learning engineers to develop recommendation features based on purchasing or browsing history.

• Not enough human resources to make a list of featured items.

Solution

I created a feature to request users' favorite categories connected to tags, which display our recommendations based on tags users picked on the Home Tab.

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Explore the comprehensive process and insights behind this case study.

👉 https://namihomma.com/

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