UX Design

UX Design Services That Turn Visitors Into Customers — And Keep Them There

When a product or website is genuinely easy to use, more visitors convert, support ticket volume drops, and users come back on their own. That is the business case for UX design services — and it is the only framing we work from.

Facet delivers UX design services as a measured Agent Loop: design, test, measure, iterate against real usage data. Not a UX report that lives on a shelf. Not a polished prototype that never gets validated in production. And not a rebranded design cadence — the instrumentation, the baseline, the whole-surface audit and the post-ship watch are genuinely carried by agents, which is why a boutique team can run them on every cycle instead of on the first one. We built those passes to keep our own operation honest before we sold them to anyone.

How could AI agents run your UX practice? Book a UX Baseline Audit →

The Problem With How UX Is Usually Sold

Most agencies treat UX as a project milestone. You commission a discovery sprint, receive wireframes, launch, and the engagement ends. Six months later, users are confused by the flow that changed during implementation. A year later, you are funding a full redesign.

Here is what that pattern misses: usability decays as the product changes. Every feature addition, content update, or infrastructure migration subtly alters the experience users actually have. A UX design validated at launch is not validated for the product you have today. Treating UX as a deliverable rather than a discipline means you are always solving yesterday's problem.

It also misses something about cost. The reason UX is sold as a project is that the measurement half is expensive in human hours — instrumenting the surface, auditing every screen, reading the session data, doing it again next quarter. Nobody skips measurement because they think it is unimportant. They skip it because it does not fit in the budget. That is the constraint the loop actually removes.

The loop exists because we needed it on our own work

Facet is not a design studio describing agentic delivery from the outside. Our engineering, quality review, research and content production already move through agent loops under human command, and the write-up is public: We Run Our Own Business on Agents.

Three consequences matter specifically to a UX engagement.

  • The baseline step is the one we already solved. Most UX projects either skip instrumentation or bill it as a discovery phase, because establishing what users currently do is slow, unglamorous work. It is also volume work — read every screen, map every flow, wire the events, pull the sessions. We put agents on it. That is why our engagements open with a real baseline rather than a heuristic opinion, and why the baseline is not the line item you negotiate down.
  • We found the failure modes on ourselves. An agent reading session data will confidently produce a cause for a drop-off, and the cause will be plausible and wrong — it will blame the form length when the problem is that the page above it promised something different. An agent asked to "improve the flow" will optimise a metric into a worse product. An agent summarising a long research session will lose the thread and contradict itself in the last paragraph. We hit all three on our own internal tooling, where being wrong cost us rather than a client.
  • Humans stay in command, and the standard does not move. Agents produce the evidence and the first drafts. A designer decides what the product should be, and a named person approves anything that reaches users. Work an agent produced clears the same review as work a person drew, with no exception for who made it.

How We Deliver UI/UX Design Services

Every UI/UX design engagement at Facet runs on the same structure — a measured cycle that closes the gap between design intent and user reality.

Phase 1 — Discovery and Baseline. We establish what your current experience actually does to users: where they drop off, what paths they take versus what you expect. Analytics instrumentation, heuristic evaluation, session review where available. We do not skip the baseline — it is the only thing that lets us prove a later change worked.

Phase 2 — Design and Hypothesis. Findings become specific, testable design decisions. Every change names the user behavior we expect to shift, the element we are changing, and the metric that will confirm or refute the prediction. "Improve the UX" is not a hypothesis.

Phase 3 — Build and Ship. We coordinate with development to implement at the fidelity the test requires — prototype for major flows, direct implementation for targeted iterations. We have the technical depth across Drupal, WordPress, Laravel, and JavaScript frameworks to close the gap between design and code ourselves.

Phase 4 — Measure and Synthesize. We instrument the change, let real users respond, and document the learning. Wins lock in. Failed hypotheses sharpen the next cycle. The loop restarts.

What the loop actually does

Four of the passes in that cycle are agent-carried, and they are agent-carried for a reason that has nothing to do with novelty. Each one is high volume, mechanically checkable, and almost always fine — the exact profile of work a human team stops doing properly around the third cycle, quietly, without anyone deciding to stop.

  • Instrument the surface and hold the baseline. Every screen, every flow, every event mapped and wired, then re-checked when the product changes so the baseline does not silently rot underneath the comparison. This is the pass that makes "we improved it" a claim rather than an assertion, and it is the pass that gets cut first when a person is doing it by hand.
  • Read the behavioural record and rank the friction. Drop-off by step, path divergence from the expected route, form abandonment field by field, rage-click and dead-click patterns, the flows that correlate with churn. The agent produces the ranked list of where. It is explicitly not allowed to conclude why — that boundary exists because of the failure mode named above.
  • Run the checkable evaluation on everything, every release. WCAG criteria, heading order, focus states, contrast, tap targets, keyboard traversal, rendering at every breakpoint on every template. Not a sample. All of it, every time. Coverage is the value here, not insight.
  • Generate the option set, not the decision. Flow alternatives, copy variants, component states, the edge cases a spec forgot — produced as concrete options so your team spends its hour choosing between real things instead of producing the first one. The first draft got cheap; that is the change that actually matters.
  • Watch after it ships and report the verdict. The hypothesis is scored against what users did, continuously, so a failed change is a finding in week two rather than an awkward discovery at the quarterly review. This is also the pass that catches the improvement that helped one metric and quietly broke another.

What a person still decides

Every pass above produces a record of what people did. A record of behaviour is not an explanation of it, and the distance between those two is where a designer works.

  • Why users do what they do. The data says where they left. Every explanation for it is a hypothesis a human forms and a test confirms. Letting an agent skip that step is the single fastest way to redesign the wrong thing convincingly.
  • Which friction is a defect and which is deliberate. Some drop-off is the product filtering out people it was never for. Removing it is the most common self-inflicted wound in conversion-oriented UX.
  • What the product is supposed to be. An agent can optimise a funnel into something that converts better and serves users worse. Only a person owns the tradeoff between a number and the thing the number was standing in for.
  • What reaches real users. Nothing ships because a hypothesis scored well. A designer and your team sign off on every change.

What Our UX Design Services Cover

Our UI UX design services span the full surface of your digital experience, from first impression to conversion and beyond:

  • Information architecture — how content, navigation, and user flows are structured so users find what they came for without backtracking
  • Wireframing and prototyping — low- and high-fidelity iterations validated before development investment
  • Usability testing — structured sessions with real users to surface failure points before they reach production
  • Accessibility compliance — WCAG-aligned design decisions that expand your audience and reduce legal exposure
  • Mobile UX parity — the mobile experience as a first-class design target, not an afterthought
  • Conversion-focused UX — call-to-action hierarchy, form design, and flow optimization with conversion rate as the explicit success metric
  • Design system development — reusable component libraries that make future iterations faster and more consistent
  • UX audits — standalone reviews of existing products producing a ranked friction list and a prioritized fix backlog

The Business Case for Running UX as a Loop (Illustrative)

If you want to see the leverage before committing, build it from your own numbers rather than from a benchmark we cannot source.

(Illustrative) Take your monthly sessions, your current conversion rate on the flow that matters, and the value of one conversion. A one-time UX project moves that rate once and the gain holds where it lands. A loop keeps testing, so each cycle either finds another increment or proves there is nothing left in that flow — and knowing that is worth something too, because it redirects the budget.

(Illustrative) On the support side, do the same with one ticket category. Count the volume, count the handling time, and ask whether the confusion causing it is in a flow or in a policy. If it is in a flow, it is a design problem with a measurable cost attached, and it is usually a cheaper fix than staffing around it.

We will not tell you what percentage lift to expect. We do not have a figure for your product that we could stand behind, and the ones circulating in this industry trace to nothing. What we will commit to is the baseline — after the audit you will know your current numbers precisely, which is more than most teams have when they approve a redesign.

Why Facet Interactive

We are not a pure-play design studio. We are a boutique systems integrator, which means our UX design services sit inside a practice that also spans analytics, development, automation, and AI. When we audit a UX problem, we can tell you whether it is a design issue, a performance issue, an analytics gap, or a content failure. And we have the team to implement the fix, not just document it.

A few facts about us:

  • Founded in 2014 — over a decade of UX and digital product work across industries
  • CIOReview Top 10 Digital Transformation Services Company (2021)
  • 25 verified reviews on Clutch
  • 40 team members across 9 timezones
  • 500+ specialist network for deep UX research, accessibility, and front-end work
  • Engagements from $6,000; retainers scale to full operating-model transformation

We serve professional services firms, medical spas, law firms, non-profits, property management, B2B SaaS, and event producers.

The Argument Only UX Can Make

Here is what is mechanically true of UX and of nothing else in this catalogue: the people who know the answer cannot tell it to you.

Ask users what they want and they will answer honestly and be wrong — not because they are unreliable, but because nobody has introspective access to the two seconds in which they gave up on a form. Ask your team and you get a worse answer, because everyone in the building already knows how the product works. There is no interview, no workshop and no stakeholder alignment session that produces the information. The only source of truth is the record of what people actually did, and that record exists only after you ship something.

That is why UX is the discipline where the loop is not a delivery preference but the instrument itself. And it is why the measurement half has to run on agents: it is relentless, it is checkable, it is the least interesting part of the job, and on a human-only team it is the first thing to quietly lapse. A design practice that cannot afford to measure is a practice running on opinion — which is exactly the practice you are trying to replace.

The evidence does accumulate, with one condition worth stating plainly: it accumulates only while somebody is actually running the loop and writing down what was learned. A validated finding nobody recorded is a finding you will pay to discover again next year.

What a UX Engagement Looks Like

Every engagement begins with a UX Baseline Audit — a structured review of your existing product, analytics data, and user behavior that surfaces the highest-leverage friction points and establishes the baseline we improve against.

From there, most clients move into a running UX retainer — the loop above, sustained across quarters. Some engage for a defined project: a specific flow redesign, a mobile UX overhaul, or a design system build. We scope to your situation.

Where a UX engagement goes next

A UX baseline does not stop at the edge of the interface — it reads the whole path a user took, which is why it routinely locates the friction somewhere a designer cannot reach.

A product that audits clean and needs nothing further from us is a complete outcome, and we will tell you if that is what the data says.

Book a UX Baseline Audit

How could AI agents run your UX practice? A structured audit of your real product, run over two to four weeks.

You leave with four things: a mapped inventory of your screens and flows with the instrumentation gaps named, a ranked friction list built from what users actually did rather than from a heuristic opinion, an accessibility evaluation covering the whole surface rather than a sample, and a written recommendation on what a structured improvement loop would target first and in what order. All of it is yours whether or not the engagement continues.

And the honest negative: if the audit finds your flows are clean and your real problem is that the product does something people do not want, we will tell you that and stop. No amount of UX work fixes a product-market problem, and selling you a redesign that cannot work is a worse outcome for us than losing the engagement.

Book a UX Baseline Audit →

FAQ

What do UX design services actually include?

A full engagement includes discovery and baseline instrumentation, information architecture review, wireframing and prototyping, usability testing with real users, accessibility evaluation, implementation coordination, and post-ship measurement. At Facet it also includes analytics remediation when data gaps prevent us from measuring outcomes — we will not skip that step, because it is the only thing that proves the design decision was correct.

How long does a UX project take?

A standalone baseline audit typically runs 2–4 weeks. A flow redesign or design system engagement runs 6–12 weeks through to handoff. Ongoing loop retainers operate in 4–6 week cycles — hypothesis, implementation, measurement, synthesis — running as long as the product evolves. We are transparent about scope before any work begins.

What do Facet's UI UX design services cost?

Audits start at the lower end of our $6,000+ project range and scale with product complexity. Ongoing retainers are scoped to the number of active design loops, implementation intensity, and research cadence. We do not publish a single number because every product situation is different — the audit produces the scope.

How is a UX loop different from a one-time redesign?

A redesign replaces one static design with another static design, and both were built on assumptions nobody tested. The loop treats the current design as a hypothesis, tests it against what users actually do, and revises on the result. The difference is not effort. It is that one of them can be wrong without anybody finding out.

Do agents do the UX design?

No. Agents run the volume passes — instrumentation, the whole-surface audit, the behavioural read, the option sets, the post-ship watch. A designer decides what the product should be, and a named person approves everything that reaches users. Putting the volume on agents does not make the design better by itself. It makes the evidence exist on every cycle instead of on the first one, which is the part that changes the design.