DESIGN

M_16// CRO

UX Optimization

Less friction. More conversion.

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MISSION BRIEF

We audit your existing product, identify friction points, and redesign the flows that are costing you users and conversions. Data-informed decisions, measurable outcomes.

CAPABILITIES

▸UX audit & heuristic evaluation

▸Conversion rate optimization (CRO)

▸A/B testing design & analysis

▸User testing sessions & synthesis

▸Funnel redesign & drop-off analysis

MISSION INTEL

PERFORMANCE94%

SCALABILITY90%

RELIABILITY93%

CLASSIFICATION

MISSION XP

9.6K

UX-DRIVEN

PIXEL-PERFECT

DESIGN-TOKENS

RESPONSIVE

▸ OVERVIEW

Most optimisation work fails because it asks the wrong question. "Make this convert better" without "why isn't it converting?" is a roulette wheel. We do the diagnostic first — funnel analytics, session replay, usability tests — and only then start touching the design.

The output is a sequence of experiments, each with a stated hypothesis, a measurable outcome, and a documented learning. Whether the lift is 5% or 50%, you know why.

▸ WHAT WE DELIVER

Funnel + analytics audit

GA4, PostHog, Mixpanel, Amplitude — we instrument what's missing and analyse what's there.

Session replay analysis

Hotjar / FullStory / LogRocket reviewed at scale. Rage clicks, dead clicks, abandoned flows.

Usability testing

Moderated and unmoderated, on prototypes or production. We watch real users do real tasks.

Experiment roadmap

Hypotheses ranked by ICE / PXL. Sequence designed for compounding learning, not just lift-chasing.

A/B test execution

Designed, built, run, analysed. Statistical significance, not eyeballing dashboards.

Learning playbook

Every experiment documented — what worked, what didn't, what to test next.

▸ WHO IT'S FOR

▸E-commerce and marketplace teams whose checkout drops 50%+ at one step
▸SaaS companies with low activation despite high signup
▸Marketing leaders running paid traffic into a leaky funnel
▸Product teams who want to test, not just opine

▸ OUTCOMES YOU CAN EXPECT

✓Measurable lift on the metric you care about
✓A culture of experiment-driven decisions
✓A back-catalogue of learnings, not just outcomes
✓Analytics instrumentation that future experiments can rely on

▸ HOW WE WORK

Diagnose

Analytics, replay, qualitative research — find the real bottleneck.

Hypothesise

Ranked backlog of testable hypotheses with predicted impact and effort.

Test

Designed, built, run. We aim for tests that learn either way.

Roll out

Winning variants productised, losing ones documented, next experiment queued.

▸ FREQUENTLY ASKED

▸How long until results?

First experiment live in 2–3 weeks. First measurable lift typically inside 6–10 weeks.

▸A/B test tooling?

GrowthBook (open-source) for most clients. Optimizely / VWO when you already use them. PostHog feature flags for SaaS.

▸What if our traffic is too low to A/B test?

We use multi-armed bandits, sequential testing, or move to qualitative methods. We won't fake significance.

▸ THE ITI-X DIFFERENCE

Every recommendation is backed by data and user behavior — no guesswork, only evidence-based design decisions.

READY TO DEPLOY

Initiate this mission.

Let's build, secure, design, or lead — together.