About this resource

UXResearcher.com

A practical resource for people who work in, hire for, or want to understand UX research. Covering the discipline, the role, how organizations structure research capability, ResearchOps, and how AI is changing the practice.

What this is

A resource for the UX research community

UXResearcher.com covers what UX research is, who does it, how organizations structure research capability, and what it takes to do the work well. The information here is written for practitioners, hiring managers, and product leaders who want a clear-eyed understanding of the field — not a generic overview or an SEO summary.

The site covers methods, roles, hiring models, ResearchOps, and the current state of AI in the research workflow. It takes positions where positions are warranted. It doesn't hedge everything into mush to avoid saying anything.

The voice is that of a senior practitioner — someone who has worked in the field, understands the research talent market, and has opinions about what good research looks like in practice.

Who this is for

Hiring managers and product leaders

Making decisions about research capacity — what model fits, what to look for in candidates, how to evaluate research quality, what to expect from different engagement structures.

Practicing UX researchers

Navigating the market, evaluating engagement models, understanding how AI is changing the practice, and thinking about research quality and craft.

People new to UX research

Building a foundation in what the discipline is, what researchers actually do, and how research connects to product decisions.

Editorial position

What this site actually thinks

Research quality is not uniform

The range between a strong UX researcher and an average one is enormous — and the difference often isn't visible on a CV or in a portfolio. Getting the match right matters significantly more than most hiring processes account for.

Flexibility isn't a compromise

Embedded contract, fractional, managed research — these aren't lesser alternatives to permanent headcount. For many organizations, they're better fits. The right structure for research capacity depends on the actual need, not on what feels most like "hiring."

AI changes execution, not judgment

AI has genuinely changed how parts of the research workflow get done — transcription, documentation, synthesis acceleration. It has not changed whether human judgment is required to do research well. That distinction matters for how researchers and organizations should think about AI adoption.

Useful content is specific

The information that exists about hiring and buying UX research is often generic, outdated, or disconnected from how the market actually works. The goal here is content that is specific enough to be genuinely useful — not a surface-level overview padded to a word count.

Synthesis requires human judgment

AI can surface patterns from interview transcripts. It cannot interpret what those patterns mean for a specific product, a specific team, in a specific organizational context. Synthesis — real synthesis — is still a fundamentally human act.

Research connected to decisions is more valuable

Research that informs product decisions matters. Research that doesn't reach decisions — that sits in a repository, gets filed away, or fails to find an audience — is expensive infrastructure for something that doesn't compound. Organizational advocacy for research is part of the job.