Agencies pass a UK relevance, product capability, and evidence gate before scoring. Five dimensions are scored from 0 to 10 in half-point steps. The arithmetic mean becomes the displayed score. Ties are resolved by comparable product evidence, audience fit, then recency. Payments and submissions cannot change a position.
An agency needs a London or UK delivery record relevant to product teams. A company without a London office may qualify when it has clear UK work and a practical delivery model.
The portfolio must include shipped product, service, or complex UX work. Every profile needs at least two accessible sources.
Detailed cases and working products carry the most weight. Official service pages can establish capability but cannot prove that capability was applied on a project.
Client publications, procurement records, and verified review profiles help corroborate scope, dates, and working quality. Vendor claims remain identified as vendor claims.
The five dimensions carry equal weight. Editors use 0.5-point steps, calculate the arithmetic mean, and round once to one decimal place. There is no hidden adjustment after the average.
A tie is resolved first by directly comparable product evidence, then fit for London buyers, then the recency of the strongest relevant work.
The date moves only after a substantive evidence review. An agency can submit a correction or new source, but submission does not guarantee inclusion or a score change.
Send the exact disputed statement, the source URL, and the date checked to inquiry@londondesignindex.com.
The score is an editorial assessment for this audience. It is not a customer-review average, award, certification, or guarantee of project performance.
The publication is an AI Ratings editorial project. Positions are not sold. Agency selection and evidence scoring require editorial judgment.
Recent work for London or UK organisations with enough context to judge delivery.
Work across discovery, interaction, interface, systems, and release rather than marketing pages alone.
Evidence for dense workflows, data, permissions, AI behaviour, and operational products.
User research, testing, inclusive practice, and evidence that findings changed the design.
Detailed cases, live products, dates, and corroboration outside an agency portfolio.