Seek AI Basic Basa: Chirongwa Chepasika Data Analytics by Eric Wu

Seek AI Basic Basa: Chirongwa Chepasika Data Analytics by Eric Wu is a highly esteemed winner of the very prestigious 2025 Mubairo weSimbi we A' Design Award in Dhizaini yeSofutiweya Competition Category.

SimbiSofutiweya· 2025

Seek AI Basic Basa: Chirongwa Chepasika Data Analytics

by Eric Wu

Client: Seek AI

Mubairo weSimbi we A' Design Award Winner in Sofutiweya Category

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The Design

About Seek AI Basic Basa: Chirongwa Chepasika Data Analytics

Zvinyorwa Zvebhuku: Seek AI ichirongwa chepawebhu chinobvumira vashandisi vebhizinesi kubvunza mibvunzo pamusoro pedata yavo mumutauro wavanoshandisa mazuva ese. Seek AI inoshandura mibvunzo yemutauro wevanhu kuita kodhi yeSQL ichishandisa large language models uye custom agent framework. Chirongwa ichi chinobatana nemadhatawuzi akadai seSnowflake, BigQuery neRedshift. Chiface chekutaurirana chinosanganiswa neSQL editor inogona kukurisa, zvichiita kuti mubvunzo mumwe nemumwe uongororwe uye ugadziriswe. Peneli reassistant inotsigira basa mukati meeditor. Vashandisi vanogonawo kugadzira zvipikiri (visualizations) uye kugoverana ruzivo nevamwe vavanoshanda navo.

The Recognition

About the Mubairo weSimbi we A' Design Award

Mubairo weSimbi we A' Design Award wakahwinwa ne Seek AI Basic Basa: Chirongwa Chepasika Data Analytics, rukudzo runokudzwa runopiwa kumadhizaini akanaka anozadzisa zvinodiwa zvehunyanzvi neyeindasitiri zvinotarisirwa kuzvigadzirwa zvakagadzirwa zvakanaka. Vakunda veSimbi vanoratidza unyanzvi hukuru, hunyanzvi hwakakwirira, kunzwisisa kwevakachenjera uye kugona kwekugadzira kwevagadziri vavo. Seek AI Basic Basa: Chirongwa Chepasika Data Analytics inotarisirwa kuva chigadzirwa chinokudzwa zvakanyanya, chinoremekedzwa uye chinodiwa, chinoshanda uye chine zvitsva. Dhizaini iyi yakahwina Mubairo weSimbi we A' Design Award inosanganisa maitiro akanakisa eindasitiri uye ine hunhu hwetekinoroji hwakakwana hwakabatana neruzivo nehunyanzvi. Nekushanda kwayo zvakanaka, Seek AI Basic Basa: Chirongwa Chepasika Data Analytics inoremekedzwa uye yakagadzirirwa kupa kuvandudzwa kwehupenyu kunobatsira kuita kuti nyika ive nzvimbo iri nani.

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