This paper introduces the Naming Emotions Collaborative Prompting (NECP) framework as a conceptual approach to measuring and supporting learnability in the corporate workplace. Grounded in emotional awareness theory, collaborative learning research, and adaptive instructional design, NECP emphasizes the act of naming emotions as a low-cost, privacy-respecting method for enhancing self-regulation and reducing emotional bias in competence assessments. The framework integrates ten parametrized learning environment elements and uses a dual-track system: (1) real-time learner classification into Good, Neutral, or Bad for Learnability states based on competence scores and emotion valence, and (2) longitudinal evaluation of design elements using stable inverse probability weighting (S-IPW). The model dynamically adjusts learning environments and matches learners with complementary profiles to optimize emotional and cognitive conditions for learning. While still theoretical, NECP offers a scalable, evidence-informed method for aligning emotional regulation with workplace learning strategies and provides a foundation for future empirical validation.

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