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Duration 40 hours
Course Outline
1. Product Conceptualization
- Identifying customer needs
- Market and competitive analysis
- Assessing market size related to specific customer problems or needs
- User segmentation and persona development
- Defining product vision, purpose, and strategic direction
- Prioritization based on value and effort
- Mapping value and desired outcomes
2. Product Creation
- User-centered design (UX/UI)
- Iterative development using cross-functional teams (Scrum)
- Backlog management and user story creation
- Early validation methods (MVPs, experiments)
- Establishing key product metrics
- Hands-on Design Thinking workshop
- Prompt engineering for leaders (applying AI to products)
- Data-informed design processes
- Service design blueprints (service mapping)
- Expert-led session on backlog management and prioritization
3. Product Delivery
- Release planning and roadmap management
- Go-to-market strategies
- Onboarding processes and post-launch experience measurement
- Collecting feedback in production environments
- Aligning with marketing and sales teams
- Constructing product funnels and monitoring dashboards
4. Value Realization
- Tracking product metrics (NPS, DAU, retention, etc.)
- Developing monetization and pricing models
- Conducting funnel analysis
- Assessing customer value (LTV, CAC, ROI)
- Iterating based on data insights
- Managing the product lifecycle
- Ensuring product scalability and sustainability
- Developing product P&L
- Building a robust business case
Conclusion and Path Forward
Requirements
- Working knowledge of banking operations
- Practical 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-driven product design
Testimonials (1)
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