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FOOD DATABANK

FOOD DATABANK

FOOD DATABANK

Empowering food makers with data-driven insights to create innovative and market-ready products.

Empowering food makers with data-driven insights to create innovative and market-ready products.

ROLE

UI-UX Designer

TIMELINE

July 2019 – July 2023

LOCATION

TOKYO (ON SITE)

FoodDataBank helps food makers in Japan create new products by analyzing trends and consumer preferences. The service provides valuable insights into food trends, enabling companies to make informed decisions and develop products that resonate with their target audience.


As the UI-UX Designer for FoodDataBank, I created the first version and continued improving it with features for deeper trend analysis. I led the design process, using sales feedback and collaborating with management to enhance functionality and user experience.

FoodDataBank helps food makers in Japan create new products by analyzing trends and consumer preferences. The service provides valuable insights into food trends, enabling companies to make informed decisions and develop products that resonate with their target audience.


As the UI-UX Designer for FoodDataBank, I created the first version and continued improving it with features for deeper trend analysis. I led the design process, using sales feedback and collaborating with management to enhance functionality and user experience.

FoodDataBank helps food makers in Japan create new products by analyzing trends and consumer preferences. The service provides valuable insights into food trends, enabling companies to make informed decisions and develop products that resonate with their target audience.


As the UI-UX Designer for FoodDataBank, I created the first version and continued improving it with features for deeper trend analysis. I led the design process, using sales feedback and collaborating with management to enhance functionality and user experience.

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Research

When designing FoodDataBank, we focused on the needs of our users. We discovered that users had trouble comparing genre data within the same analysis, often relying on multiple browser tabs, which made their experience more difficult.

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Design outcome

I introduced several new features to FoodDataBank. These included keyword rankings based on genre, allowing users to compare 2 to 3 genres simultaneously using factors like gender, age, price, and season.

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The results

Since I worked on FoodDataBank, users have found it much easier to analyze trends and compare data. The new features, like genre comparisons and keyword rankings, have been especially helpful. Feedback from users has been positive, and they appreciate how much smoother the platform is to use now.

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