AI Product & Go-to-Market Strategy

I completed a 48-hour Associate Product Manager case focused on AI product strategy, go-to-market planning, and product prototyping. I developed a go-to-market strategy for an AI agent, working through customer segmentation, personas, value proposition, packaging and pricing, sales motion, launch planning, and success metrics.

For the product component, I developed an MVP strategy for an AI-powered platform, from identifying the target user and core problem to prioritizing capabilities for an eight-week MVP. I also designed a prototype around a key user workflow and considered product trade-offs, integrations, user experience, technical constraints, and monetization.

Through the case, I applied product thinking across the full journey from identifying a market opportunity to defining what should be built, how it could be launched, and how its success could be measured. The project gave me practical experience connecting AI and technical considerations with user needs and business strategy.

Some project details and visuals have been intentionally omitted.