Measurement
Define the comparison first.
Define the baseline, comparison period, primary outcome, guardrails, implementation date, and observation window before evaluating a result.
Our methodology
Research. Architect. Implement.
The exact method changes with the project, the evidence available, and the problem being solved. The standards do not.
Evidence-to-delivery map
Build from evidence. Stop claims at the boundary.
Inputs are classified before implementation begins. Delivery moves through an explicit sequence, while evidence quality and permission determine what can be claimed afterward.
Observations
What the available evidence directly supports.
Hypotheses
What may explain an observation but still needs testing.
Proposed tests
What should be measured before drawing a stronger conclusion.
Selected stage
Observe: assemble the evidence, constraints, and known gaps before prescribing a solution.
Permission gateEvidence supports a claim. Permission controls its use.
Client names, exact quotes, screenshots, sensitive data, and internal artifacts remain excluded unless their use is approved.
Research
Start with what can be observed.
Inputs vary by project. They may include store analytics, funnel behavior, customer feedback, usability evidence, technical diagnostics, client constraints, and platform documentation.
Not every project has every input. We state what is available, what is missing, and which conclusions are observations, hypotheses, or proposed tests.
Architect
Make the tradeoffs explicit.
Findings become prioritized recommendations, UX and design decisions, technical plans, or automation workflows. Priorities reflect likely value, effort, risk, dependencies, and evidence quality.
Observed facts stay separate from hypotheses. Proposed tests stay separate from proven outcomes.
Implement
Build with a release boundary.
Implementation is staged for review. Changes are scoped, tested, and checked before release, with rollback planning appropriate to the project and production changes kept behind an explicit approval gate.
QA standards
Test what the work can affect.
QA may include functional, responsive, browser, accessibility, analytics, performance, and regression checks. The exact matrix follows the work being shipped.
Attribution limits
Do not claim past the evidence.
Traffic mix, seasonality, promotions, pricing, inventory, merchandising, advertising, retention activity, and concurrent work can change results. We use “associated with” unless stronger causal evidence exists.
Privacy and anonymization
Use less. Publish less.
We minimize collected data and do not publish customer-level or confidential client information. Cases are anonymized or results withheld when permission or evidence is insufficient.
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