UX / CRO Strategy for Established Companies

More revenue
from your
existing traffic.

We identify where your website loses conversions, test solutions through controlled UX experiments, and scale what's proven to work — sprint by sprint.

EMK+
Trusted by digital teams at established companies
UX/CRO Framework
01
Diagnose
02
Hypothesize
03
Design
04
Experiment
05
Analyze
06
Scale
6
Structured Modules
1
Hypothesis per Sprint
100%
Data-Driven Decisions
0
Guesswork
The Problem

Most UX teams ship on opinion,
not on evidence.

Without a structured process, even good designers make expensive guesses. Here's what that looks like — and what the alternative delivers.

Without a Framework

UX changes shipped based on stakeholder opinion — no behavioral data
Tests run without pre-defined success criteria — winners called post-hoc
Multiple simultaneous changes — impossible to know what caused the result
No documented learnings — the same UX mistakes repeat every quarter
No prioritization system — teams optimize the wrong pages
VS

With the Code Cave Co. Framework

Every UX change validated through a structured, hypothesis-driven sprint
Success criteria locked before launch — decisions never changed post-hoc
One hypothesis per sprint — clean data, interpretable, replicable results
UX Learning documented after every cycle — growing organizational knowledge
Prioritized Hypothesis Backlog — always working on the highest-impact lever
The Framework

Six modules. One continuous cycle.

A systematic UX/CRO process with clear ownership and documented learning at every step. Hover each module to explore.

UX SPRINT CYCLE 01 DIAGNOSE UX Diagnostics 02 HYPOTHESIZE Hypothesis 03 DESIGN Sprint Design 04 EXPERIMENT Experimentation 05 ANALYZE Analysis 06 SCALE Scale / Iterate
Hover a module

Explore the Framework

Hover over any of the six modules in the cycle to see what happens at that stage — and why it matters for your conversions.

Hover a module to explore
Core Principles

Non-negotiable rules that protect
every experiment's integrity.

The framework is governed by a set of hard experimentation principles — borrowed from the best in the field and refined in practice.

🎯

One Experiment, One Goal

Every experiment has a single primary metric. Secondary metrics are guardrails only — never the basis for the decision. No multi-goal tests.

📋

Pre-Defined Success Criteria

Success is defined before the experiment starts. Decisions are never changed post-hoc to match results. No goalpost moving.

⏱️

Minimum Data Before Analysis

Results are read only after reaching pre-agreed data thresholds. Partial signals are for QA — not decisions. No early peeking.

🔬

No Overlapping Experiments

Parallel tests run only on separate pages and journeys — preventing cross-contamination and ensuring clean, trustworthy data.

⚖️

Effect + Risk, Not Just Uplift

Positive results are still evaluated for UX risk — complexity, edge cases, maintenance cost. Rollout requires a sound effect/risk ratio.

📚

Neutral = Valid Knowledge

A null result is not a failure — it's behavioral evidence. We never roll out a change just because "it wasn't worse."

Who It's For

Built for companies where UX decisions move real revenue.

This framework is for established organizations with existing traffic, transactional flows, and analytics tooling — that are ready to treat UX as a business discipline, not a design exercise.

Ideal Client Profile
  • You have existing web traffic and transactional flows (checkout, forms, sign-up)
  • You use GA4, Hotjar, or Clarity — but struggle to act on the data decisively
  • Your team ships UX changes without a structured process to validate them
  • You can implement A/B tests or feature flags (or are willing to invest in it)
  • You want compounding UX knowledge — not just a one-off design deliverable
  • Leadership is aligned on data-driven experimentation as a strategic priority

Code Cave Co. Owns

UX diagnostics, problem framing, and prioritization
Hypothesis formulation and Hypothesis Backlog management
UX sprint design, success metrics, and scope definition
UX/UI design and experiment specification (Figma)
Behavioral analysis, interpretation, and written sprint readout
UX learning documentation and knowledge base

The Client Owns

Access to analytics tools and data (GA4, Hotjar, A/B platform)
Tracking setup, data quality, and URL stability during tests
Technical implementation and QA of experiment variants
Business KPI definition and final go/no-go on production rollout
Start the Conversation →

Ready to run your first structured UX sprint?

Book a strategy call. We'll walk through your current funnel, identify the highest-impact hypothesis to test first, and show you exactly how the framework fits your team.

No commitment required  ·  45-minute session  ·  Includes a diagnostic summary