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Duration 40 hours
Course Outline
1. Product Conceptualization
- Identifying customer needs
- Conducting market and competitor analysis
- Assessing market size related to specific customer problems or needs
- User segmentation and developing personas
- Defining product vision, purpose, and strategy
- Prioritization based on value and effort
- Mapping value and defining desired outcomes
2. Product Creation
- User-centered design (UX/UI)
- Incremental and iterative development using cross-functional teams (Scrum)
- Backlog management and drafting user stories
- Early validation techniques (MVP, experiments)
- Defining key product metrics
- Practical Design Thinking workshop
- Prompt engineering for leaders (applying AI to products)
- Data-informed design approaches
- Service design blueprints (service mapping)
- Expert-led session on backlog management and prioritization
3. Product Delivery
- Managing releases and roadmaps
- Go-to-market strategies
- Onboarding and measuring post-launch customer experience
- Collecting feedback in production environments
- Coordinating with marketing and sales teams
- Constructing product funnels and monitoring dashboards
4. Value Realization
- Key product metrics (NPS, DAU, retention, etc.)
- Monetization and pricing models
- Funnel analysis
- Customer value metrics (LTV, CAC, ROI)
- Data-driven iteration processes
- Product lifecycle management
- Ensuring product scalability and sustainability
- Product Profit and Loss (P&L) analysis
- Developing the business case
Summary and Future Directions
Requirements
- Fundamental knowledge of banking operations
- Experience in digital product development
- Basic familiarity with AI concepts
Target Audience
- Product managers within the banking industry
- Leaders driving digital transformation
- Banking professionals engaged in AI-assisted product design
Testimonials (1)
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