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Ecommerce Diagnostic

Find the constraint before investing in the solution.

Your storefront may be underperforming. That does not mean your storefront is the problem.

Chroma reviews the commercial system behind the ecommerce business—customer experience, merchandising, Shopify, technology, operations, analytics and the dependencies between them—to identify what deserves attention, what needs validation and what should not be changed yet.

Current stateIllustrative example. Not client data.
Observed
High PDP abandonment
Inference
Product selection may be introducing friction
Unknown
Traffic-quality contribution
Next validation
Segment by channel + device

Decision

Do not redesign yet

When the problem is clear enough to feel expensive—but not clear enough to solve confidently.

Conversion has declined

But no one has isolated whether the cause is traffic quality, merchandising, UX, pricing or site performance.

Paid acquisition is getting harder

And it is unclear whether more spend would create profitable growth or simply expose another constraint.

Shopify feels increasingly fragile

Apps, theme changes and workarounds have accumulated without a clear technical roadmap.

Growth is creating operational pressure

Launches, inventory, fulfillment, CX or internal processes are struggling to absorb demand.

Teams are executing without one roadmap

Marketing, ecommerce, development and operations are solving different versions of the problem.

A redesign is being considered

But there is not yet enough evidence to know whether a redesign is actually the highest-value intervention.

Chroma diagnoses the business behind the storefront.

These are not eight separate reviews. Each one constrains the others, and the constraint is usually found in the space between two of them.

  1. Customer

    Intent, journey, trust, friction, service expectations.

  2. Product

    Offer, assortment, product roles, pricing, bundles.

  3. Merchandising

    Navigation, collections, discovery, presentation, launch logic.

  4. Storefront

    UX, PDPs, collections, conversion path, performance.

  5. Operations

    Inventory, fulfillment, launches, workflows, CX dependencies.

  6. Technology

    Shopify architecture, theme, apps, integrations, technical debt.

  7. Data

    Tracking, definitions, attribution, decision visibility.

  8. Economics

    AOV, margin, CAC where available, discounts, contribution implications.

A finding is not the same thing as a conclusion.

Everything in the diagnosis is labelled by how well it is supported. Not every question reaches a confirmed fact, and saying so is more useful than a confident answer that turns out to be wrong.

Confirmed fact

Directly supported by reliable business data.

Observation

Something measurable is happening.

Inference

A reasoned explanation supported by available evidence.

Hypothesis

A plausible cause that still requires validation.

Recommendation

The action justified by what is currently known.

Worked exampleIllustrative example. Not client data.

Observed

Mobile PDP abandonment is elevated.

Inference

Variant selection may be introducing friction.

Alternative explanation

Mobile traffic mix may have shifted toward lower-intent acquisition.

Validation

Segment behavior by channel, device and product type.

Decision

Do not authorize a redesign yet.

What you leave with.

Current-State Diagnosis

A clear account of where the ecommerce system is working, where it is constrained and what remains unknown.

Prioritized Opportunity Map

Recommendations ranked by commercial importance, confidence, dependency and effort.

30 / 60 / 90-Day Roadmap

What should happen now, what should follow and what should wait.

Executive Readout

A working session explaining the findings, tradeoffs, priorities and decisions behind the roadmap.

The output is not a list of everything that could be improved. It is a decision about what deserves attention first.

A list of forty findings leaves the hardest decision — which three to fund this quarter — exactly where it started.

Example prioritization framework
Commercial impactHigh confidenceLow confidence
High impactDo firstValidate
Lower impactDefer or bundleDo not prioritize
Conceptual. The map is built from the findings of a specific engagement.

From evidence to decision.

Context

Understand the business, current objectives, constraints and decisions already being considered.

Evidence

Review the relevant storefront, analytics, technology, merchandising and operational evidence available.

Diagnosis

Separate observations, likely causes, unknowns and opportunities.

Roadmap

Prioritize actions, dependencies, validation requirements and next decisions.

The depth of each area depends on the evidence available. Where reliable evidence does not exist, the diagnostic identifies the gap rather than manufacturing certainty.

Evidence reviewed

Evidence reviewed depends on the systems and access appropriate to the engagement. Potential sources may include:

  • Shopify / storefront
  • Analytics
  • Merchandising / catalog
  • Customer journey
  • Technology stack
  • Launch processes
  • Fulfillment / operations
  • Relevant commercial reporting

This is a diagnostic—not a predetermined prescription.

This is

  • Cross-functional ecommerce analysis
  • Commercial prioritization
  • Evidence review
  • Systems diagnosis
  • Senior ecommerce judgment
  • An actionable roadmap

This is not

  • A generic automated Shopify score
  • A 100-point UX checklist
  • A disguised pitch for a redesign
  • An SEO audit
  • Paid-media management
  • A promise that every problem can be identified from analytics alone

The methodology comes from operating ecommerce as a connected system.

Building a Creator-Led Commerce Engine

A commercial reconstruction examining how demand, launches, merchandising, technology, customer experience and operations interacted over time.

253K+ orders · $22M+ reconstructed commerce

Questions.

What is an ecommerce diagnostic?

A structured review of the commercial system behind the storefront — customer experience, product and merchandising, Shopify and technology, operations, data and economics — and the dependencies between them.

The purpose is to identify what is actually constraining growth, separate what is known from what still needs validating, and produce a prioritized roadmap rather than a list of everything that could be improved.

How is this different from a Shopify audit?

A Shopify audit examines the store. This examines the business the store belongs to.

Theme, apps and technical debt are part of the review, but so are assortment, merchandising, launch process, fulfillment, customer experience and the data being used to make decisions — because a storefront problem is frequently a symptom of a decision made somewhere else.

Do I need analytics access?

Not necessarily, and the diagnostic does not pretend otherwise. Evidence reviewed depends on the systems and access appropriate to the engagement.

Where reliable data is available it is used. Where it is not, the gap is recorded as a gap, and the validation needed to close it becomes part of the roadmap.

What size ecommerce business is this designed for?

This is designed for established ecommerce businesses where decisions increasingly cross storefront, merchandising, marketing, operations, technology or customer experience.

The fit depends more on complexity and decision-making needs than a fixed revenue threshold.

Can you implement the recommendations?

Sometimes — and it is a separate decision. Implementation across Shopify, storefront architecture, merchandising and ecommerce workflows is work Chroma does.

The diagnostic is not a route into it. The roadmap is written to be executed by whoever is best placed to execute it, including an internal team or an agency already engaged.

What happens after the diagnostic?

Three paths, and none of them is assumed. Most often the roadmap is executed internally.

Where a defined piece of work needs outside help, a separate implementation engagement can be scoped. Where the gap is ongoing senior ownership rather than a specific project, fractional ecommerce leadership may be the better fit.

The diagnostic is complete in itself.

Before deciding what to build, decide what deserves fixing.

An ecommerce problem that has become expensive, complex or difficult to diagnose is the one worth naming before it is worth funding.

If the constraint is still unclear, start here.

Where a diagnosis usually leads