I developed this framework to create a repeatable, evidence-based way to translate raw data into strategic direction. It formalizes how I move from inputs (e.g., surveys, usage data, analytics, qualitative feedback) to personas, insights, and go-to-market recommendations — with explicit guardrails to prevent assumption-driven conclusions.

The framework was informed by advanced prompt-engineering coursework and mirrors how high-performing insights teams operate in practice: grounding all findings in data, articulating the “so what,” and tying recommendations directly to business goals. While the framework can be executed manually or with AI support, its core value lies in the structure and rigor it brings to strategic decision-making.

Explore the framework I developed below and see it in action.