Not just prettier UIs. Every design decision backed by data, A/B tested, tied to revenue. 4-6 weeks per sprint.
The gap between signup and first value closed — measurably, sprint over sprint.
Every flow redesign has a before-and-after metric. No more designing by opinion.
Activation, churn, and expansion moved by design decisions you can point to. Not just prettier UI.
Book a free scoping call →Design decisions that can't be tied to revenue metrics aren't design decisions — they're opinions with a budget attached.
Most design work is evaluated on aesthetics: does it look good, does the team like it, does it feel on-brand. None of that answers the question your CFO asks. The difference between design as a cost centre and design as a growth lever is whether every change has a measurable hypothesis behind it — and a metric to validate it against after it ships.
What’s actually happening right now
You’ve shipped redesigns. Some felt right. But without friction data tied to revenue, you’re optimising by instinct. The team has strong opinions. What’s missing is a system that turns those opinions into testable hypotheses with measurable outcomes.
The team knows good design. But without friction data and conversion metrics attached to each decision, design decisions default to opinion instead of data. Your best designers want to be measured on impact, not aesthetics. They just don’t have the system to do it yet.
Design is doing its job aesthetically. But the gap between “looks good” and “converts well” is where revenue lives. The onboarding flow, the pricing page, the upgrade path — each one has friction you haven’t quantified yet. That quantified friction is your revenue ceiling — and we show you exactly where it is.
Six weeks from now
Every design decision has friction data behind it. You stop redesigning based on HiPPO opinions. You walk into every design review with session recordings, funnel drop-off points, and a ranked priority list. Your design team stops losing 3 weeks to “let’s try both.”
Your activation rate is climbing — measurably, sprint over sprint. Your upgrade flow converts better because it was redesigned around user behaviour, not opinions. Every flow change has a before-and-after metric. Design is a revenue lever you can actually pull.
Your board sees design impact in revenue metrics — activation up, churn down, expansion up — not just “prettier UI.” Your design budget is an investment with measurable ROI, not an expense line. Top design talent wants to work where design moves numbers.
| Now | With ProductQuant |
|---|---|
| Activation rate stable — next improvement lever unclear | Activation improving sprint over sprint with data-backed changes |
| Design decisions informed by experience and intuition | Every design change backed by session data + A/B tests |
| Onboarding completion steady — friction points not yet quantified | Friction quantified and removed — completion rate climbing |
| Pricing page conversion unmeasured against category benchmarks | Pricing page redesigned around user behaviour data |
| Design impact evaluated by aesthetics, not revenue metrics | Design decisions defended with conversion data |
The Framework
Every design decision backed by user behaviour data. Every flow change A/B tested before full rollout. You see what moved and by how much.
Week 1-2. Friction analysis across your entire product. We find exactly where users drop off — and why.
Week 1-2 (parallel). User session deep-dives, heatmap pattern analysis, and behavioural segmentation.
Week 3-4. Rapid design sprints targeting the highest-impact friction points. Prototype, test, refine.
Week 4-5. A/B testing the redesigned flows against current. No opinions — only statistically significant results.
Week 5-6. Design system handoff so your team can maintain and extend everything we built — without us.
What We Cover
Your pricing page, upgrade modal, and checkout flow are doing revenue work right now — or bleeding it. Conversion design is the discipline that finds exactly where users drop, quantifies the cost, and redesigns those moments to close the gap between intent and action.
Turning the gaps between intent and action into revenue
Every drop-off point in your funnel has a design root cause. We find it, quantify it, and fix it — with measurable before-and-after conversion data.
Most SaaS products lose the majority of signups before users see the value the product promises. A well-designed onboarding flow maps the shortest path to the first aha moment — and removes every piece of friction standing between signup and activation.
Getting more signups to their first moment of value
The shortest path from signup to activated user is a design problem. We map it precisely, remove the friction points, and build the flows that turn new signups into engaged users.
Activation is the moment a user realises your product does what they hoped it would. Most products have one — but the path there is full of unnecessary steps, unclear cues, and friction that erodes confidence. Activation path design clears the route and signals progress at every step.
A product that shows its value before users give up looking
We design the paths that lead users to your product's most valuable moments — faster, with less friction, and with enough feedback to keep them moving forward.
Most A/B tests fail not because the hypothesis was wrong but because the test was under-powered, the metric was wrong, or the implementation introduced confounding variables. Rigorous experiment design means fewer tests, better decisions, and results your team actually trusts.
Experiments that produce decisions, not just data
We design tests that are statistically sound, properly implemented, and analysed with rigour. The result is a decision your team can act on — not a p-value to debate.
A design system is a velocity multiplier — when it exists. Without one, every new feature takes twice as long, consistency erodes sprint by sprint, and the design-to-engineering handoff becomes a negotiation. A well-built system lets your team ship faster and maintain quality as you scale.
The infrastructure that lets your team ship faster at scale
A design system is not a deliverable — it's infrastructure. We build the component libraries, tokens, and governance that let your team move faster without sacrificing consistency.
Session recordings, heatmaps, and usability tests tell you things analytics never can — why users do what they do, what they're looking for, and where the interface is failing them. UX research turns behavioural observation into design decisions your whole team can act on.
Behavioural evidence that makes every design decision defensible
We watch what users actually do — not what they say they do. Every design recommendation is grounded in observed behaviour, not stakeholder preference or designer intuition.
The Design Impact Assessment runs in week 1. It maps every friction point, quantifies the revenue cost of each, and produces a prioritised list of exactly what to fix first — ranked by impact, not designer intuition.
Where are users dropping out of your signup, onboarding, and upgrade flows?
Which UI elements are confusing, blocking, or frustrating users?
How much inconsistency exists across your product's UI patterns?
What's the gap between signup and "aha moment" — and what's causing it?
Is your mobile experience bleeding conversions your desktop captures?
Why this matters: Most redesigns fail because they start with aesthetics, not evidence. The Design Impact Assessment gives you a prioritised list of exactly what to fix, ranked by revenue impact. No guessing. No "let's just refresh the whole thing."
Pricing
One-time · 2-3 weeks
One-time · 4-6 weeks
Ongoing · 3-month minimum
Every design sprint includes a measurable hypothesis. If a shipped redesign doesn't produce a statistically significant conversion lift within the test window, we continue iterating at no additional cost until it does.
Your product looks good. Modern. Professional. Your team ships consistent UI. Your Figma files are organised. Nobody complains about the design.
The opportunity is what happens when you connect that polish to data. When every element on every screen is intentionally designed to move users toward the outcome that generates revenue. When activation improves with each sprint because the design decisions are informed by user behaviour, not taste.
That's the gap between "clean" and "converting" — and closing it is a system, not a redesign.
We’re not the right choice for every team. Here’s an honest breakdown.
| ProductQuant | Freelance Designer | Design Agency | In-House Team | |
|---|---|---|---|---|
| What you get | Data-driven redesign + A/B tested results | Mockups + UI polish | Brand refresh + design system | Ongoing design capacity |
| Measures success by | Conversion lift + activation rate | Client approval | Deliverables completed | Velocity / output volume |
| Time to measurable impact | 4-6 weeks | Never (not measured) | 3-6 months | Varies widely |
| Uses behavioural data | Heatmaps, sessions, A/B tests | Rarely | Sometimes (extra cost) | If they have the tools |
| Cost (3 months) | $20K–$40K (sprint) | $15K–$30K | $60K–$150K | $90K–$180K (salary + tools) |
| What happens after | You own the system + design library | You get Figma files | Dependency continues | Ongoing cost |
Note: If you need ongoing UI production (icons, marketing pages, feature screens), a freelance designer or in-house team is the better fit. If you need a full brand overhaul, an agency makes sense. If your product converts poorly and you need data-driven design that moves metrics, we're your best option.
Every signup you paid to acquire hits your onboarding flow. Some activate. Some don’t. The gap between your current activation rate and where it could be — that’s revenue you’ve already paid for and aren’t capturing.
You know the numbers for your product. Run the math: signups per month × the activation gap × your ACV. That’s what’s sitting on the table every month.
And that’s just activation. Your pricing page, feature adoption, and upgrade flows each have their own gap between current and possible.
4–6 weeks from now, the highest-impact flow could be redesigned, A/B tested, and converting. Or the gap stays where it is. Your call.
Who This Is For
We measure success by conversion lift, not deliverables completed. Our commitments reflect that.
If your redesigned flow doesn't show measurable conversion improvement within 60 days, we iterate free until it does. We don't ship "redesigns" — we ship results.
Every design change comes with the data that justified it. Session recordings, heatmaps, funnel analysis. No "I think this looks better" — only "the data shows this converts better."
You get a complete component library, pattern documentation, and usage guidelines. Your team owns the design system and can iterate independently after handoff.
Every major design change is validated with A/B testing before full rollout. You see the statistical significance, the conversion delta, and the projected revenue impact before committing.
Common Questions
We start by mapping exactly what’s costing you conversions. You leave the first call with a friction analysis and a prioritised list of what to fix first.