UX research practice

UX Research That Helps
Teams Build with Confidence.

Expert led UX research: usability testing, benchmarking, discovery. Built on methods from inside Meta, Microsoft, Alaska Airlines, and Lenovo.

Book a call now ↗ $7,500 remote test →
7+ yrs
Mixed-methods research: AI, VR, e-commerce, aviation
300+
Moderated sessions across product, VR, and field studies
48h
Final session to topline, every study
Methods built inside Meta Microsoft Alaska Airlines Lenovo
Research services

The core of the practice.

01 Usability testing Fixed price · $7,500 · 2 weeks →
02 Experience benchmarking Flagship · from $15,000 →
03 Discovery interviews Generative · JTBD →
04 Survey & CSAT programs Qualtrics · tracked →
05 Research programs & ops Continuous · multi-team →
All research services →
And when you need the numbers

Research first.
Analytics when it counts.

The primary work is qualitative: watching real users, hearing real reasoning. But some questions need measurement: A/B test support, funnel analysis, and benchmark scores tracked on live dashboards, powered by the DataDrives data practice.

How qual × quant works →
Primary — qualitative

Moderated sessions, interviews, field intercepts. The why behind every metric.

Secondary — quantitative

A/B testing, funnel analysis, tracked benchmarks. The proof the fix worked.

500+1
Moderated research sessions run across usability, benchmark, and field studies
72
Quest product teams served by one scaled research program at Meta
283
Stakeholders per month supported at Microsoft
48h
From final session to topline findings, every study

1–3: some from in-house research roles, 2019–2026. Ask about any of them on the discovery call — happy to walk through the work behind each number.

What you get

The deliverable, before you buy.

Findings arrive as a working document your team can comment on or a slide deck. Each finding carries a severity rating, the evidence behind it, and a recommendation ready for the backlog.

This excerpt is from a lead generation form study.

Book a call now ↗
Sample excerpt
Findings: Lead Form Usability StudySaved to Drive
DD
FileEditViewInsertFormatTools
4. Findings lead capture flow
Moderated remote study · 8 participants · Desktop
4.1  Task completion: slow, error-prone, and hard-won High

7 of 8 participants eventually completed the form, with an average completion time of 3:42 against a 90-second target, with 11 errors observed across sessions. The most common: phone formatting rejected without explanation (5), company size dropdown scrolled past the visible option (3), and validation firing while participants were still typing (3).

RecommendationProvide an inline error message that clearly explains the correct phone number format. Include supporting UI cues, such as placeholder text or an example format. Cut the form to name, work email, and one qualifying question.
4.2  The form asks for too much, too early High

Participants questioned why phone number, budget, and company size were required before seeing any pricing. Several supplied throwaway data ("I'd just put a fake number"), and two abandoned outright, calling the request premature for a first touch.

RecommendationMove phone and budget to a post-demo step, once value is established. Ask at this stage only what routing genuinely requires.
Selected work

Case studies

01 YouTube and TikTok AI comparative benchmark Benchmarking · AI →
02 Quest VR settings remote user test Usability · VR →
03 Alaska Airlines self-service bag tag station CSAT · Field →

The teams that win aren't the ones with the most dashboards or the thickest research reports they're the ones who connect the two and move faster than everyone else.

The thesis behind DataDrives Research

Bring the product question.

Thirty minutes, no deck. You'll leave with a sharper question and a scoped way to answer it whether or not you hire us.

Book a call now ↗