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Calculates rigorous, investor-grade bottom-up market sizing models (TAM / SAM / SOM) with stated assumptions.
Maps the frontier landscape of AI models, frameworks, inference runtimes, and patentable novelties.
Drafts unbiased customer discovery interview scripts based on 'The Mom Test' principles to uncover true behavior.
Formulates PRISMA-compliant literature review protocols, inclusion/exclusion criteria, and evidence synthesis.
Compares technical frameworks, databases, or cloud infrastructure across scalability, cost, and developer velocity.
Extracts psychological triggers, Jobs-To-Be-Done (JTBD), and friction points from raw user research.
Calculates top-down and bottom-up market sizing models for investor pitch decks and business plans.
Distills dense scientific papers into structured takeaways, methodology audits, and empirical limits.