Every engagement is scoped to a specific question. You know what you're getting, what it costs, and what changes as a result — before we start.
Hourly billing puts clients in the awkward position of watching the clock. It also creates misaligned incentives — longer isn't better, sharper is better.
Project-based pricing means we agree on a scope, a research question, and a deliverable upfront. You know the investment before we start. I stay focused on quality, not hours logged.
Rates reflect 7 years of senior research experience and a specialist focus. You're not paying for a generalist — you're paying for someone who has spent a career on exactly this type of problem.
Choose based on what your team needs most right now. Prices shown are professional fees — recruitment costs and participant incentives are billed separately at cost and itemized in every proposal. Not sure which fits? A 20-minute conversation is enough to figure it out.
A focused review of one product flow — onboarding, quiz, results page, or key moment — that maps exactly where the comprehension gap is breaking down.
8–10 user interviews designed to answer one strategic question before you build. Synthesis delivered in a format your team can act on immediately.
Moderated sessions with real users to evaluate a design direction, prototype, or copy approach before development begins.
Three focused research sprints over 90 days — one per month — designed around your product roadmap. Best for teams actively building.
A line-by-line review of onboarding copy, quiz language, results page messaging, or in-app instructional text — identifying exactly where your words are losing users before your product gets a chance to work.
A structured review of 2–4 competitor products through a comprehension and trust lens — mapping where they lose users, how they build confidence, and where the gap your product could own actually sits.
Your team is shipping AI-generated content faster than any human can evaluate it. This service provides a structured audit of AI output — chatbot responses, clinical summaries, onboarding flows, help documentation — to determine whether it actually works for real users. AI generates the content. This ensures humans can use it.
For teams that need someone to own the operational side of research — tool setup, participant recruitment infrastructure, repository management, and research process design. Available as a one-time foundation build or ongoing fractional engagement.
Research has real operational costs beyond the researcher's time. Here's exactly how I handle them — no surprises, ever.
Recruitment and incentive costs are estimated in the proposal and reconciled at actual cost on the final invoice. For standard B2C audiences, typical recruitment expenses run $500–$1,500 per project. Specialty audiences — women with specific health diagnoses, prescription skincare users, etc. — can run higher, and I'll tell you upfront before we start recruiting.
For teams building an internal research capability — or that want a senior researcher available on a recurring basis without the overhead of a full-time hire. I work alongside your team to help you ask better questions, run more rigorous studies, and build research into your product process.
A 20-minute conversation is enough to scope the right project for where you are. No pitch, no pressure.
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