Seek AI 数据分析网络应用程序

设计师： Eric Wu

客户: Seek AI

软件类别A' Design Award 铁奖获奖者

14,785

已验证的获奖者

验证 #165510 的获奖状态

访问网站在A' Design Award上查看新闻稿获奖徽章

色彩

设计作品

关于 Seek AI 数据分析网络应用程序

Seek AI 是一款网络应用程序，让业务用户能够用自然语言对其数据提出问题。Seek AI 借助大型语言模型和自研的智能体框架，将自然语言问题转换为 SQL 代码。该平台可连接 Snowflake、BigQuery 和 Redshift 等数据仓库。聊天界面与可展开的 SQL 编辑器相结合，使每一条查询都能被审阅与优化。助手面板则为编辑器内的操作提供支持。用户还可以创建可视化图表，并与协作者分享洞察成果。

荣誉认可

关于A' Design Award 铁奖

Seek AI 数据分析网络应用程序是 A' Design Award 铁奖得主，这是授予满足人们对设计精良的创作所期待的专业与工业要求的优良设计的声望认可。铁奖得主展现出其创作者的高超技艺、高度专业化、专家级的理解力和创造能力。预计Seek AI 数据分析网络应用程序将成为一件备受推崇、令人钦佩且被珍爱的创作，既实用又创新。这件赢得 A' Design Award 铁奖的设计整合了行业最佳实践，并拥有与专业知识和才华相结合的称职技术特性。Seek AI 数据分析网络应用程序因其严谨而受到尊重，旨在提供有助于让世界变得更美好的生活品质改善。

设计幕后

媒体资料包

由设计师提供的致谢、团队成员及技术详情。

独特属性: 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.
尺寸与包装: 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.
标签: Generative AI, enterprise application, data analytics
生产技术: Seek AI utilizes large language models to generate queries.
设计挑战: 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.
灵感: 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.
项目周期: 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.
团队成员: Eric Wu
图片版权: Image credit: Eric Wu
Video credit: Eric Wu