A claim-by-claim evidence ledger

What this source supports

• RIASEC has a long research and practice history as a vocational-interest framework.
• Published evidence supports the existence and ordering of RIASEC interest types, while congruence has modest predictive power.

What remains outside this source’s scope

• That RIASEC identifies a person’s best business.
• That WhatBusiness.ai’s opportunity ranking predicts business success.

What this source supports

• The 30-item Mini Interest Profiler was developed as a brief measure of six RIASEC vocational-interest scales.
• The report evaluates the instrument in its career-exploration context.

What remains outside this source’s scope

• WhatBusiness.ai’s custom business-opportunity weights or ranking rules.
• Prediction of entrepreneurial fit, revenue, or success.
• Personality or psychometric work-style scoring.

What this source supports

• Vocational interests have measurable but limited associations with work and training outcomes in the studies analyzed.
• Combining relevant interests can be more informative than treating one RIASEC dimension as destiny.

What remains outside this source’s scope

• Business-opportunity recommendation or entrepreneurship outcomes.
• WhatBusiness.ai’s scoring weights, library, or result roles.

What this source supports

• Vocational interests have measurable associations with performance and persistence in the work and academic studies analyzed.
• Interest congruence with an environment was more informative than an interest score alone in this evidence base.

What remains outside this source’s scope

• Direct transfer of the reported associations to business-opportunity recommendation.
• WhatBusiness.ai’s weights, feasibility penalties, result roles, or prediction of entrepreneurial success.

What this source supports

• The analyzed work and academic evidence found interest congruence more strongly associated with performance than interest scores alone.
• The findings support treating fit as contextual rather than assigning a person one deterministic interest type.

What remains outside this source’s scope

• That vocational interest congruence has been validated for selecting a business opportunity.
• That WhatBusiness.ai’s custom ranking predicts revenue, persistence, or success.

What this source supports

• Verbatim redistribution is offered under CC BY-ND 4.0 with attribution.
• Modified or extended tools are directed to the O*NET Tools Developer License.

What remains outside this source’s scope

• A conclusion that WhatBusiness.ai’s current custom purpose is covered by plain CC BY 4.0.
• Approval, endorsement, testing, or validation by USDOL/ETA.

What this source supports

• The developer licence includes attribution, modification-disclosure, no-endorsement, and validation conditions for covered adaptations.
• Software-only integration is distinguished from modification of content or purpose.

What remains outside this source’s scope

• That a custom business-opportunity matcher has already completed an O*NET-required validation study.
• That USDOL/ETA has approved, endorsed, or tested WhatBusiness.ai.

What this source supports

• Entrepreneurial reasoning can begin with available means and affordable loss rather than a predetermined opportunity.
• Who a person is, what they know, and whom they know can inform feasible action under uncertainty.

What remains outside this source’s scope

• WhatBusiness.ai’s factor weights or ranking implementation.
• A claim that the product validates demand or predicts success.

What this source supports

• Human capital had a statistically significant but small overall association with entrepreneurial success in the studies analyzed.
• Task-related knowledge and skills were more strongly associated with outcomes than broad education or experience measures.

What remains outside this source’s scope

• That a skill or credential guarantees a viable business or a successful outcome.
• WhatBusiness.ai’s 25% skills weight or its treatment of any individual skill.

What this source supports

• Effectuation is a recognized entrepreneurship research framework with an identifiable empirical research programme.
• The maturity and measurement limits of the evidence should remain visible when the framework informs product decisions.

What remains outside this source’s scope

• Treating effectuation as a complete or universally validated formula for choosing a business.
• WhatBusiness.ai’s matching weights, constraint penalties, or recommendation accuracy.

What this source supports

• The analyzed literature provided initial empirical support for positive associations between selected effectuation principles and venture performance.
• Available means, partnerships, affordable loss, and contingency can be examined as distinct entrepreneurial decision concepts.

What remains outside this source’s scope

• That effectuation alone determines which business a specific person should pursue.
• That WhatBusiness.ai’s operationalization, weights, or recommendations reproduce the study’s measures or predict venture performance.

What this source supports

• ESCO organizes occupation, skill or competence, knowledge, and qualification concepts.
• ESCO is a relevant structured-taxonomy reference for future multilingual or European coverage.

What remains outside this source’s scope

• That the current WhatBusiness.ai skills questions implement the ESCO taxonomy.
• Validation of the current opportunity library or ranking model.

What this source supports

• TIPI is a distinct, very brief Big Five instrument with published psychometric trade-offs.
• Personality and vocational interests should not be presented as the same construct.

What remains outside this source’s scope

• Any claim that WhatBusiness.ai currently measures or scores personality.
• The current business-opportunity matching weights.

What this source supports

• Clear who, how, and why disclosures help readers assess content.
• Trust is central to Google’s E-E-A-T framing, while E-E-A-T is not a single ranking factor.

What remains outside this source’s scope

• A guaranteed ranking improvement from adding trust pages or structured data.
• Optimizing engagement interactions for clicks without reader value.

What this source supports

• Personal-data processing should have a defined purpose and use no more data than necessary.
• Storage periods, accuracy, security, and lawful processing should be addressed transparently.

What remains outside this source’s scope

• A claim that citation alone establishes WhatBusiness.ai’s legal compliance.
• Unrestricted reuse of profiling data for unrelated marketing or future services.