Seek AI Datuma Analiza Retaplikaĵo by Eric Wu

Seek AI Datuma Analiza Retaplikaĵo by Eric Wu is a highly esteemed winner of the very prestigious 2025 Fera A' Design Award in Programara Dezajno Competition Category.

FeroProgramaro· 2025

Seek AI Datuma Analiza Retaplikaĵo

by Eric Wu

Client: Seek AI

Fera A' Design Award Winner in Programaro Category

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Verified Award Winner

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The Design

About Seek AI Datuma Analiza Retaplikaĵo

Seek AI estas retaplikaĵo kiu ebligas al negocaj uzantoj fari demandojn pri siaj datumoj en simpla lingvo. Seek AI konvertas naturlingvajn demandojn en SQL-kodon per grandaj lingvaj modeloj kaj propra agent-framework. La platformo konektiĝas al datumdeponejoj kiel Snowflake, BigQuery kaj Redshift. Babilada interfaco estas kombinita kun etendebla SQL-redaktilo, tiel ke ĉiu peto povas esti reviziita kaj plibonigita. Asistanta panelo subtenas la laboron ene de la redaktilo. Uzantoj ankaŭ povas krei bildigojn kaj kunhavigi komprenojn kun kunlaborantoj.

The Recognition

About the Fera A' Design Award

Seek AI Datuma Analiza Retaplikaĵo estas gajninto de la Fera A' Design Award, prestiĝa rekono donata al bonaj dezajnoj, kiuj plenumas la profesiajn kaj industriajn postulojn atendatajn de bone dezajnitaj kreaĵoj. La Feraj gajnintoj montras grandan lertecon, altan specialiĝon, spertan komprenon kaj kreivan kapablon de siaj kreintoj. Oni atendas, ke Seek AI Datuma Analiza Retaplikaĵo estu tre estimata, admirata kaj ŝatata kreaĵo, kiu estas praktika kaj nova. Ĉi tiu dezajno gajninta la Feran A' Design Award integras plej bonajn industriajn praktikojn kaj havas kompetentajn teknikajn karakterizojn ligitajn kun scipovo kaj talento. Seek AI Datuma Analiza Retaplikaĵo estas respektata pro sia zorgemo kaj estas dezajnita por provizi plibonigojn de la vivokvalito, kiuj helpas fari la mondon pli bona loko.

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