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Duration 40 hours
Course Outline
1. Conceptualizing the Product
- Identifying core customer needs
- Conducting market and competitor analysis
- Estimating market size based on customer problems or needs
- User segmentation and persona creation
- Establishing product vision, purpose, and strategy
- Prioritization based on value and effort
- Mapping value and defining desired outcomes
2. Building the Product
- User-centered design (UX/UI)
- Iterative and incremental development with cross-functional teams (Scrum)
- Managing backlogs and crafting user stories
- Early-stage validation techniques (MVP, experiments)
- Defining key product metrics
- Practical Design Thinking workshop
- Leadership prompt engineering (applying AI to products)
- Data-informed design processes
- Service design blueprint (service mapping)
- Expert-led session on backlog management and prioritization
3. Launching the Product to Customers
- Release planning and roadmap management
- Developing go-to-market strategies
- Customer onboarding and post-launch experience measurement
- Capturing feedback from production environments
- Aligning with marketing and sales teams
- Constructing product funnels and monitoring dashboards
4. Realizing Value
- Key product metrics (NPS, DAU, retention, etc.)
- Monetization and pricing strategies
- Funnel analysis
- Customer value assessment (LTV, CAC, ROI)
- Data-driven iteration cycles
- Managing the product lifecycle
- Ensuring product scalability and sustainability
- Product Profit & Loss (P&L)
- Developing a robust business case
Wrap-up and Next Steps
Requirements
- A solid grasp of core banking operations
- Hands-on experience in digital product development
- Basic familiarity with fundamental AI concepts
Target Audience
- Product managers within the banking industry
- Leaders driving digital transformation initiatives
- Banking experts engaged in AI-driven product design
Testimonials (1)
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