GTM Decision Framework & AI Evaluation
Evaluated and improved AI-generated outputs for B2B sales and go-to-market use cases, including outbound messaging, pipeline strategy, and lead prioritization. Assessed responses based on clarity, relevance to target personas, logical consistency, and likelihood of driving real-world outcomes. Performed structured evaluation and rating of AI-generated content, focusing on reasoning quality rather than surface-level correctness. Identified gaps where outputs appeared strong but would fail in execution due to poor prioritization, weak messaging, or lack of contextual awareness. Developed scenario-based training examples to improve model performance in areas such as cold outreach, objection handling, and deal progression strategy. Provided detailed feedback explaining why certain responses were effective or ineffective, helping guide iterative model improvement. Maintained consistent evaluation standards, including clear justification of ratings, alignment with real-world sales workflows, and focus on measurable business outcomes such as response rates and pipeline generation.