Recurring User Research
UsabilityTesting
Recurring moderated and unmoderated testing with real users, run end-to-end. We handle recruiting, sessions, and synthesis — you get prioritized findings your team can act on every cycle.
The Offer
Testing ThatNever Stops
A standing usability testing practice for your product, run end-to-end. Each cycle we recruit and screen participants, run moderated and unmoderated sessions with real users, and synthesize everything into a prioritized, actionable findings report — so every release ships with evidence, not assumptions.
What is Usability Testing?
Usability testing is simple at its core: watch real users attempt real tasks in your product, and see where they succeed, hesitate, and fail. Moderated sessions let a researcher probe the "why" behind each stumble; unmoderated sessions capture how people behave on their own, at scale.
Most teams test once, fix a few things, and stop. A recurring cadence changes that — every cycle produces fresh evidence, fixes get re-tested instead of assumed, and usability becomes a metric you track, not a box you checked once.
Real Users, Real Tasks
Watch people who match your audience attempt the tasks that matter — no proxies, no guesswork.
A Recurring Cadence
Testing runs on a cycle, not as a one-off. Each release gets evidence before and after it ships.
Prioritized Findings
Every cycle ends with findings ranked by severity and impact, so your team knows what to fix first.
Zero Research Ops
Recruiting, screening, scheduling, moderation, and synthesis are all handled for you, end-to-end.
One Cycle. Five Phases.
Then it repeats — every cycle, every release.
Plan & Script
We align on what this cycle should answer — the flows, features, or prototypes in question — then write the task scenarios, screener criteria, and session script.
Recruit & Screen
We source participants who match your real audience, screen them against the criteria we agreed on, and handle scheduling, incentives, and no-show backups.
Run Sessions
A researcher moderates live sessions, probing where participants hesitate. In parallel, unmoderated tasks capture unprompted behavior at scale. Your team is welcome to observe.
Synthesize
We review every session, code observations into themes, and separate one-off quirks from patterns that repeat across participants.
Findings & Debrief
You get a prioritized findings report — what broke, how badly, and what to fix first — plus a live debrief with your team. Then the next cycle picks up where this one left off.
Plan & Script
Decide What to Test
Every cycle starts with a short planning conversation: which flows, features, or prototypes need evidence right now? From that, we write the task scenarios, the screener, and the session script.
- Framing the research questions
- Writing task scenarios and success criteria
- Drafting the screener and session script
- A test plan to review and approve
- Clarity on what this cycle will answer
- A standing slot — no re-scoping from scratch
Recruit & Screen
Find the Right People
We source participants who match your actual audience — not whoever is convenient — screen them against the agreed criteria, and handle scheduling, incentives, and backups for no-shows.
- Sourcing from panels and targeted outreach
- Screening against your audience criteria
- Scheduling, incentives, and no-show backups
- Participants who look like your users
- Zero recruiting ops on your team
- A confirmed session schedule
Run Sessions
Moderated + Unmoderated
A researcher moderates live sessions, following up where participants hesitate or stall. Unmoderated tasks run in parallel to capture unprompted behavior. Your team can observe any live session.
- Moderating live sessions and probing the why
- Setting up and monitoring unmoderated tasks
- Recording and note-taking for every session
- An open invitation to observe live
- Session recordings and highlights
- Behavior you can see, not just hear about
Synthesize
From Sessions to Signal
We review every session, code observations into themes, and separate one-off quirks from patterns that repeat across participants — then weigh each issue by severity and impact on the task.
- Reviewing and coding every session
- Clustering observations into themes
- Assessing severity and frequency
- Findings backed by observed evidence
- Signal separated from noise
- No raw-transcript homework for your team
Findings & Debrief
Prioritized, Actionable
The cycle closes with a prioritized findings report — what broke, how badly, for whom, and what to fix first — and a live debrief with your team. Then the next cycle picks up where this one left off.
- Writing the prioritized findings report
- Running a live debrief with your team
- Carrying open questions into the next cycle
- A ranked, actionable fix list
- Clips and evidence for every finding
- A team that saw the problems firsthand
Findings, In Practice
Excerpts from two real studio studies — Stylish, a consumer fashion-shopping app, and Millbrook Trade, a B2B furniture-sourcing platform. Company names are fictional; the participants, numbers, and shipped fixes are real.
Six moderated 1:1 think-aloud sessions on the Stylish prototype. Each participant worked through real shopping tasks and rated task ease (SEQ, 1–5) as they went.
Frequent, directed shopper. Knows what he wants before opening an app.
Infrequent browser. Uses the cart as a wishlist.
Monthly shopper; compares prices across sites.
Browses for trends; orders several sizes because she can’t try things on.
Monthly shopper who hunts across retailers; wide feet make sizing his pain point.
Plus-size shopper; prefers trying on in person, so fit and returns are her anxiety.
Task ease by session
mean SEQ 4.1 / 5Average Single Ease Question (SEQ) score per session — 1 = very difficult, 5 = very easy.
“Oh wow! Wow… it’s amazing. Much better — more efficient and easier than going to the reviews.”
“The level of AI integration — try it on, aggregate the best prices, search by image and just ask questions.”
“Intuitive, easy, fun — the videos are fun.”
55 changes shipped from six sessions
Every observation became a prioritized change — each one validated by the participants who came after.
Both studies pair moderated think-aloud with a quantitative backbone — SEQ scores per task and Likert batteries scored by median — so you get the qualitative “why” plus numbers you can track cycle over cycle.
Who Is This For?
A recurring testing cadence fits any team that ships to real users — whether or not you have research ops of your own.
Shipping Teams
You release every sprint, but user evidence arrives once a quarter — if at all. A standing testing cadence puts real usability data on the same rhythm as your roadmap.
What you get:
- Evidence for every release, not every quarter
- Fixes get re-tested, not assumed
- Findings arrive prioritized and ready to ticket
- No pause in shipping to "do research"
Ryan
AI-Native UX Leader & UX Researcher
Your testing cadence isn't handed off to a junior moderator. Every cycle is planned, moderated, and synthesized by a senior UX/UI designer, researcher, and prototyper — years of hands-on experience applied directly to your product.
- 20+Years Experience
- 4Continents
- 15+Industries
- B2B & B2CBoth Worlds
- Cloud Infrastructure
- Enterprise Software
- Healthcare
- E-commerce
Trusted By Teams At
A career spent partnering with teams at every scale — from DocuSign to Louis Vuitton to Oracle — shipping products used by billions.
Make Evidence a Habit, Not an Event
The Real Risk
The risk isn't the testing. It's shipping release after release without ever watching a real user try them.
A recurring cadence means no release goes out untested.
Ready to start testing?
Set up your cadence directly through checkout, and we'll kick off with a planning call for your first cycle.
Prefer to talk it through first? Book a 30-minute discovery call.