ipi ai - market primer
This is a PDF document titled "IPI AI - Market Primer.pdf" created in September 2025. It serves as a comprehensive instructional deck designed for student teams in the "Ideation & Prototyping for Innovation" course, co-authored by Shai Bernstein and Tom Eisenmann. The content provides detailed guidance on leveraging AI tools to co-create a Market Primer, covering foundational concepts of large language models (LLMs), twelve specific AI-driven research approaches, advanced AI techniques, and practical templates. It emphasizes rigorous, evidence-based research practices, AI-assisted synthesis, hypothesis testing, expert discovery, and iterative validation to support innovation and market analysis. The document is educational and structured, intended to help students systematically apply AI in market research and prototyping contexts.
Questions this document answers
AI supports market research by enabling efficient evidence gathering, hypothesis formulation, ecosystem mapping, trend analysis, and validation, thereby accelerating insights and decision-making.
These pillars improve research accuracy by ensuring data credibility, organizing insights clearly, and challenging assumptions to reduce bias and error.
It is crucial for credibility because it ensures that market insights are based on reliable, traceable sources, reducing the risk of misinformation and hallucinations.
It enhances rigor by enabling transparent traceability, facilitating updates, and defending claims with documented evidence.
It’s crucial because it provides actionable, strategic insights rather than mere data collection, enabling better decision-making and hypothesis testing.