Seek AI データ分析ウェブアプリケーション by Eric Wu is a highly esteemed winner of the very prestigious 2025 A' Design Award 鉄賞 in ソフトウェアデザイン Competition Category.

鉄ソフトウェア· 2025

Seek AI データ分析ウェブアプリケーション

by Eric Wu

Client: Seek AI

A' Design Award 鉄賞 Winner in ソフトウェア Category

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The Design

About Seek AI データ分析ウェブアプリケーション

Seek AIは、ビジネスユーザーが自社のデータについて平易な言葉で質問できるウェブアプリケーションです。Seek AIは、大規模言語モデルと独自のエージェントフレームワークを用いて、自然言語による質問をSQLコードへと変換します。本プラットフォームは、Snowflake、BigQuery、Redshiftなどのデータウェアハウスと連携します。チャットインターフェースに拡張可能なSQLエディタを組み合わせることで、各クエリを確認し、洗練させることができます。アシスタントパネルはエディタ内での作業をサポートします。さらにユーザーは、ビジュアライゼーションを作成し、共同作業者とインサイトを共有することも可能です。

The Recognition

About the A' Design Award 鉄賞

Seek AI データ分析ウェブアプリケーションは、よく設計された創造物に期待される専門的・産業的要件を満たす優れたデザインに授与される、権威ある評価である A' Design Award 鉄賞の受賞作品です。鉄賞の受賞作品は、制作者の高い技量、高度な専門性、専門家としての理解、創造的な能力を示しています。Seek AI データ分析ウェブアプリケーションは、高く評価され、称賛され、愛される、実用的で革新的な創造物であることが期待されます。この A' Design Award 鉄賞を受賞したデザインは、業界のベストプラクティスを統合し、ノウハウと才能に結びついた有能な技術的特性を備えています。Seek AI データ分析ウェブアプリケーションは、その徹底ぶりで尊敬され、世界をより良い場所にするための生活の質の向上をもたらすよう設計されています。

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: Seek is a generative AI platform that empowers business users to query their datasets and frees up data teams from ad-hoc requests for analysis. It automatically converts natural language questions into high-quality SQL code. With the efficiency of Seek, data teams are able to focus more on big questions that matter.
Dimensions & Packaging: Seek AI is a web application built with technologies like Next.js, React, and Django. Seek connects to popular data warehouses such as Snowflake, BigQuery, and Redshift. Seek uses a custom agentic AI framework to generate data queries based on natural language questions from the user.
Tags: Generative AI, enterprise application, data analytics
Production Technology: Seek AI utilizes large language models to generate queries.
Design Challenge: The challenge was balancing the precision of a data-driven interface with the freedom of an AI chat bot. Research and practice have shown that an entirely uncontrolled AI chatbot performs poorly on structured data, which has low tolerance for any degree of mistakes. On the other hand, user satisfaction greatly increases when the AI has more perceived autonomy and performs more like humans. The design of Seek AI treats the precise SQL editor as an expandable feature within the chat, while also allowing for the option to engage with it solely. A side AI assistant in the editor itself provides the continuity of AI interaction, while acknowledging that in the technical editor interface, AI becomes an assistant to the precision and lets the user take agency. This approach proves to be highly effective as users are able to freely toggle between the two modes of working and ensure that queries are accurate.
Research: In the design process, I conducted user research with multiple clients who agreed to be design partners. The research focused on how people perceive accuracy and precision in the context of AI-generated data queries. We found that while people ultimately value precision the most (as they claim), user satisfaction was actually less with a system that is more guardrailed to be precise than making errors. With humanized AI systems, users gain satisfaction from responsive engagement with the system, even though the primary function of the system may be productivity and accurate data queries.
Inspiration: I have designed this product with the mindset that data tools should be both accessible and efficient. With the rise of generative AI, we're at a unique intersection in design where complex mental models can easily be explained away by AI. However, AI also runs the risk of simplifying things too much and losing accuracy in the process. As a data-centric software, it is paramount that Seek maintains accuracy and precision alongside any usability improvement brought by AI.
Project Duration: The project is receiving continuous feature updates. The current iteration was has been developed since the beginning of 2024.
Operation Flow: With Seek AI, users can ask questions about their data in natural language, and Seek would generate queries for them. This makes it easier for data professionals to write queries for complex datasets. Additionally, Seek allows users to create visualization or share insights with collaborators.
Team Members: Eric Wu
Image Credits: Image credit: Eric Wu
Video credit: Eric Wu