# We're a UX research team. We're also an AI application research team.

> HTML 版（正本）：https://voidvector.tech/about/
> 語言：en · 來源：voidvector（虛空向量有限公司）

voidvector runs four practices as one line — AI application, UX design, growth & brand consulting, and marketing growth — because your users never experience the product as four separate departments.

## Two research disciplines, one team

voidvector started simply: we were user researchers who watched finished features go unused, then watched the AI wave produce features built for AI's sake. Both failures are the same failure — teams building what's convenient to build instead of what people actually use. So we fused the two disciplines: UX research tells us what's worth building; AI application research tells us what's actually buildable right now.

## Four practices, one loop — not four vendors

You could hire four agencies: an AI shop that ships features nobody touches, a design studio that draws flows the tech can't support, a growth consultant optimizing a funnel with a broken experience inside it, a marketing agency driving traffic that never sticks. Everyone delivers; the budget dies in the handoffs. We run AI application, UX design, growth & brand consulting, and marketing growth as one loop — research findings become design decisions, and growth data flows straight back into the product.

## Evidence, not taste

Usability session recordings, retention curves, visibility data across search and mainstream AI engines — every recommendation we make has to trace back to something we observed. If we can't show you where a conclusion came from, we shouldn't be charging you for it.

## AI has to beat the dumb baseline

Most AI features are demos wearing a product costume. We run model selection and evaluation before anything ships; retrieval Q&A and workflow automation go live only when they beat the dumbest workable baseline. When they don't, we'll tell you to skip them.
