Seek AI Dataanalyse-webapplikasjon by Eric Wu

Seek AI Dataanalyse-webapplikasjon by Eric Wu is a highly esteemed winner of the very prestigious 2025 A' Design Award i Jern in Programvaredesign Competition Category.

JernProgramvare· 2025

Seek AI Dataanalyse-webapplikasjon

by Eric Wu

Client: Seek AI

A' Design Award i Jern Winner in Programvare Category

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Verified Award Winner

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The Design

About Seek AI Dataanalyse-webapplikasjon

Seek AI er en webapplikasjon som lar forretningsbrukere stille spørsmål om sine data i vanlig språk. Seek AI konverterer naturlige språkspørsmål til SQL-kode ved hjelp av store språkmodeller og et skreddersydd agent-rammeverk. Plattformen kobler seg til datalagre som Snowflake, BigQuery og Redshift. Et chattegrensesnitt er kombinert med en utvidbar SQL-editor, slik at hvert søk kan gjennomgås og finjusteres. Et assistentpanel gir støtte til arbeidet inne i editoren. Brukere kan også lage visualiseringer og dele innsikt med samarbeidspartnere.

The Recognition

About the A' Design Award i Jern

Seek AI Dataanalyse-webapplikasjon er vinner av A' Design Award i Jern, en prestisjefylt anerkjennelse som tildeles gode design som oppfyller de profesjonelle og industrielle kravene man forventer av veldesignede skaperverk. Jernvinnere viser stor dyktighet, høy spesialisering, ekspertforståelse og kreativ kapasitet hos skaperne. Seek AI Dataanalyse-webapplikasjon forventes å være et høyt ansett, beundret og verdsatt skaperverk som er praktisk og nyskapende. Dette designet, som har vunnet A' Design Award i Jern, integrerer bransjens beste praksis og har kompetente tekniske egenskaper knyttet til kunnskap og talent. Seek AI Dataanalyse-webapplikasjon respekteres for sin grundighet og er utformet for å gi forbedringer i livskvalitet som bidrar til å gjøre verden til et bedre sted.

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