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Eric Wu 嘅作品 Seek AI 數據分析網頁應用程式

由設計師 Eric Wu 創作嘅 Seek AI 數據分析網頁應用程式 係備受推崇嘅 2025 A' Design Award 鐵獎 得獎作品,獲獎類別為 軟件設計。


鐵軟件· 2025

Seek AI 數據分析網頁應用程式

由 Eric Wu

客戶: Seek AI

軟件 類別嘅 A' Design Award 鐵獎 得獎者

15,121

色彩

設計

關於 Seek AI 數據分析網頁應用程式

Seek AI係一個網頁應用程式,俾商業用戶可以用日常語言查詢佢哋嘅數據。Seek AI利用大型語言模型同埋自訂嘅代理框架,將自然語言問題轉換成SQL代碼。呢個平台可以連接去唔同嘅數據倉庫,例如Snowflake、BigQuery同埋Redshift。聊天介面同可擴展嘅SQL編輯器結合埋一齊,等每個查詢都可以俾人檢視同優化。編輯器入面仲有一個助手面板提供支援。用戶亦都可以建立視覺化圖表,同埋同合作夥伴分享數據洞見。

榮譽認可

關於A' Design Award 鐵獎

Seek AI 數據分析網頁應用程式是 A' Design Award 鐵獎得主,這是授予滿足人們對設計精良的創作所期待的專業與工業要求的優良設計的聲望認可。鐵獎得主展現出其創作者的高超技藝、高度專業化、專家級的理解力和創造能力。預計Seek AI 數據分析網頁應用程式將成為一件備受推崇、令人欽佩且被珍愛的創作,既實用又創新。這件贏得 A' Design Award 鐵獎的設計整合了行業最佳實踐,並擁有與專業知識和才華相結合的稱職技術特性。Seek AI 數據分析網頁應用程式因其嚴謹而受到尊重,旨在提供有助於讓世界變得更美好的生活品質改善。

設計背後

新聞資料包

由設計師提供嘅製作人員名單、團隊成員同技術詳情。

獨特屬性
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.
尺寸同包裝
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.
標籤
Generative AI, enterprise application, data analytics
生產技術
Seek AI utilizes large language models to generate queries.
設計挑戰
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.
研究
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.
靈感
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.
項目時長
The project is receiving continuous feature updates. The current iteration was has been developed since the beginning of 2024.
操作流程
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.
團隊成員
Eric Wu
圖片來源
Image credit: Eric Wu
Video credit: Eric Wu

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