CRM Strategy Blueprint for Multi-Segment User Engagement at FreeFuse

FreeFuse has a diverse user base that includes creators, educators, enterprise clients, and innovation partners. This project will help develop a CRM strategy blueprint that identifies key user segments, maps out lifecycle stages, and outlines communication cadences. Students will create a data-driven CRM engagement plan that addresses how to manage creators differently from enterprise contacts, and how to transition engaged leads into partner-level relationships. The focus will be on enabling FreeFuse to scale engagement without losing personalization.

Strategic Product Development Framework for Multi-Modal Interactive Media & AI Integration

FreeFuse is a platform driving innovation at the intersection of interactive video, AI, and smart content delivery. As the product grows across creators, enterprise partners, and IoT-driven experiences, a unified, flexible product development framework is critical. This project challenges students to act as cross-functional product leaders, designing a full product development and management strategy. It will include a core roadmap, modular epic breakdowns, a prioritization model, and a lightweight Agile playbook suited to FreeFuse’s hybrid content/tech environment.

Strategic Partnership Playbook for Ecosystem Growth

FreeFuse has use cases across education, creator economy, AI research, and smart media tech. This project will identify potential partners (accelerators, incubators, creator tools, universities) and define a tiered partnership strategy for platform expansion. Objective: To develop a comprehensive and actionable partnership strategy that enables FreeFuse to grow its ecosystem through aligned external organizations—such as innovation labs, educational institutions, creator platforms, AI research hubs, and enterprise collaborators. The goal is to identify and prioritize partnership types that will accelerate adoption, credibility, and product integration , while also building a structured framework FreeFuse can use to evaluate and activate new opportunities over time. Project Goals: Map the Strategic Ecosystem Identify key sectors where FreeFuse can gain traction (e.g., edtech, immersive learning, AI tools, digital media production, nonprofits). Research 10–15 potential partners and categorize them by alignment level (e.g., product synergy, shared audience, growth acceleration). Develop a Tiered Partnership Framework Define partnership levels (e.g., Community Partner, Pilot/Co-Builder, Strategic Anchor). Outline benefits and commitments required at each level. Include partner fit criteria (technical, operational, mission alignment). Create Partner Value Propositions Draft use-case-aligned messaging that explains the value of partnering with FreeFuse from each segment’s perspective (e.g., “Why a university would want FreeFuse,” “Why a tech incubator would align”). Design an Activation Strategy Recommend onboarding flows, pilot programs, and co-marketing tactics. Develop templates for outreach, onboarding checklists, and success metrics. Deliver a Visual Playbook Present a final deliverable that includes visual partner maps, case study examples, and an actionable next-steps calendar.

Pathway Intelligence: Forecasting Interactive Journey Effectiveness on FreeFuse

FreeFuse is an AI-powered platform for building interactive, multi-path digital experiences. As the company expands into personalized content journeys and Agentic AI assistance, there is growing interest in understanding which types of interactive pathways lead to higher engagement and long-term user retention. This project will focus on analyzing and forecasting content journey effectiveness using structural data and behavioral metrics from FreeFuse pathways. In addition to traditional engagement data (e.g., completion rates, drop-offs), students will explore time-to-decision—how long a user takes between choice points—as a signal of content clarity, complexity, and user confidence. Learners will apply data science, predictive modeling, and visualization techniques to identify high-performing pathways, segment engagement styles, and forecast content success based on journey composition and user behavior.