Evidence standard

A number without context is not a benchmark.

KDigital treats outcome figures as specific to the workflow, customer environment and measurement design that produced them.

Last updated: July 2026

Minimum context for a quantitative claim

Metric definition — what was counted, and what was excluded.
Baseline — the comparable period, process or control used before the change.
Measurement window — the dates and duration represented.
Population or sample — the accounts, users, cases or transactions included.
Intervention — the product, workflow and human operating changes introduced.
Attribution limits — other changes that could have influenced the outcome.
Review status — who checked the source data and the calculation.

Illustrative interface values

Numbers shown inside product mock-ups or scenario panels may be illustrative. They demonstrate the type of information an interface can present; they do not promise a result. KDigital labels these values through page-level evidence notes and does not treat them as universal performance claims.

Customer confidentiality

Where a customer cannot be named, KDigital publishes only the context the customer permits, and avoids implying that an anonymised example is independently verifiable. A reader may request additional methodology, subject to confidentiality obligations.

Benchmarks and guarantees

Individual deployment outcomes are not industry benchmarks and are not guarantees. Expected results must be estimated from the buyer's own baseline, data quality, operating model, adoption and constraints.

Requesting evidence or a correction

Ask for the methodology behind a specific figure, or report a concern, through the contact page. Include the page URL and the exact claim.

At a glance

Evidence and Claims Methodology

The minimum context KDigital attaches to any quantitative claim, and how to tell an illustrative interface value from a measured outcome.