I designed this product strategy logic model to establish the business case, theory of action, and multi-year product roadmap for FluencyFlow. It maps how strategic investment in AI speech calibration and visual phrasing tools directly leads to 2+ hours saved per student in diagnostic time, a 25% lift in student prosody scores, and long-term district ROI for account retention and achievement gap reduction.

I authored this complete Product Requirement Document (PRD) to solve the upper-elementary and middle school "robot reader" challenge. Built around my APE Framework (Accuracy, Pacing, Expression), FluencyFlow pairs real-time AI speech evaluation with dynamic visual phrasing overlays, teacher-in-the-loop audio verification, and zero-retention privacy protocols for district procurement.

I developed this Go-To-Market change management framework to eliminate slow software deployment and user friction following district sales. Designed to bridge the gap between sales conversion and active product utilization, the playbook establishes a structured 3-phase onboarding architecture that accelerates time-to-value (TTV), builds habitual classroom routines, and safeguards net revenue retention (NRR).

As the founder of an independent digital publishing studio, I designed, market-tested, and scaled a catalog of over 60 CCSS-aligned digital learning toolkits and paperback workbooks. By leveraging user feedback loops and data-driven product iteration, I built a brand that reached the top 84th percentile on Teachers Pay Teachers and expanded across multi-platform distribution channels.