Not just prettier UIs. Every design decision backed by data, A/B tested, tied to revenue. 4-6 weeks per sprint.
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, the loudest voice wins by default. 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’s the ceiling.
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 pricing page 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 |
How It Works
Three phases. Every design decision backed by user data. Every pixel tied to a conversion metric. No redesigns based on gut feeling.
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.
The Design Impact Assessment runs in week 1. It tells you exactly where your product is bleeding users — and quantifies the revenue cost of each friction point.
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
| Design Impact Assessment | $8,000 |
| User Research + Session Analysis | $6,000 |
| High-Fidelity Redesign (1-2 flows) | $12,000 |
| A/B Test Setup + Monitoring | $5,000 |
| Design System + Component Library | $8,000 |
| Handoff Documentation + Training | $4,000 |
| Total itemized value | $43,000 |
| Design Sprint price | $30,000 |
If your redesigned flow doesn't show measurable conversion improvement within 60 days of deployment, we iterate free until it does. We measure success in metrics, not mockups.
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 fit for everyone. Here's how we compare.
| 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.
We measure success in conversion lifts, not deliverables. 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 can maintain and extend everything without us. No vendor lock-in.
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.
Everything you need to know before booking a call.
4-6 weeks. Data-driven redesign. Measurable conversion lift guaranteed.