Research standards

Original evidence, published with its limits.

Scope will use anonymized, compatible observations to explain how AI recommendations differ across sectors and which improvements are associated with better outcomes.

The direct answer

Scope will publish a benchmark only when the cohort, sample, method, collection period, and limitations are strong enough to support the conclusion.

01

Qualified sector benchmarks

A sector benchmark requires compatible measurement definitions, market context, enough independent domains, enough eligible answers, and a declared collection window. Until those conditions are met, Scope labels the comparison unavailable rather than inventing a norm.

  • Minimum cohort rules remain part of the measurement contract.
  • Question and taxonomy versions must be compatible.
  • Published results will include sample size and time period.

02

Action outcome learning

Scope can connect a completed action with its original evidence, focused remeasurement, and later monthly results. This creates a useful learning dataset without claiming that correlation alone proves causation.

  • Action type, sector, page, and baseline stay linked.
  • Immediate and persistent movement are reported separately.
  • Expected lift remains directional until enough comparable outcomes exist.

03

Demand and prompt volume

Scope does not currently claim exact prompt volume. Future demand estimates would require a privacy-safe external panel or another documented source. Audit frequency is not presented as market demand.

04

Publication standard

Every Scope study will state what was measured, how observations were selected, when collection occurred, which answers were excluded, and what the data cannot establish.

Last reviewed 2026-09-17