research-protocol

To enforce research integrity, apply the 3H Principle (Honest, Humble, Hedged) to external research, classifying findings by confidence levels like Verified or Unverified to prevent reliance on biased information. This ensures market validation data is rigorously evaluated.

The 3H Principle requires that research findings remain Honest, Humble, and Hedged. It mandates detailed source attribution and confidence classification to ensure competitive intelligence assessments are based on sound, verifiable data rather than unreliable claims.

Conflict resolution for contradictory sources involves applying predefined rules to evaluate findings and assigning a Conflicted confidence classification. This structured approach ensures conflicting research sources are managed transparently without compromising the final assessment.

Classify confidence levels for team verification by categorizing findings as Verified, Corroborated, Conflicted, Unverified, or Training-Derived. This prevents training-derived knowledge from scoring assessments and ensures comparable transactions rely on attributed data.

Source attribution for regulatory environment research should always be mandated to prevent reliance on training-derived knowledge. Detailed attribution ensures all findings are traceable to authoritative sources, maintaining research integrity across all five research categories.

Training-derived knowledge lacks verifiable source attribution and cannot be relied upon for scoring assessments. The research protocol explicitly prevents its use by mandating external verification and classifying such findings with appropriate confidence levels to maintain integrity.