BP separates literature grounding, internal quality audits, beta reliability data, external validity studies, and peer review instead of mixing them into one claim.
BP can currently describe its literature-grounded model design, 288-item assessment structure, 36-axis and 4-layer framework, and internal quality audits.
BP should not currently be described as a peer-reviewed clinical diagnostic test, mental health diagnosis, or medical decision tool. Test-retest reliability and external validity require beta study data.
After beta data collection, BP should report test-retest reliability, convergence with external scales such as IPIP-NEO/BFAS/HEXACO, discriminant validity, perceived accuracy, and report satisfaction separately.
The accurate current wording is “research-grounded.” Stronger claims require public reliability and external validity data.
No simple ranking follows. Traditional tests have stronger long-term validation; BP aims for more granular measurement and clearer AI-written explanations. These are different evidence and product dimensions.
Test-retest reliability, convergent and discriminant validity against external scales, perceived accuracy, and report satisfaction should be reported from beta data.
After reading the public explanation, continue into the measured report experience.