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Duration 40 hours
Course Outline
1. Conceptualizing the Product
- Identifying customer needs
- Market and competitor analysis
- Assessing market size for specific customer problems or needs
- User segmentation and persona creation
- Defining product vision, purpose, and strategy
- Prioritization based on value and effort
- Creating value maps and defining desired outcomes
2. Developing the Product
- User-centered design (UX/UI)
- Iterative and incremental development using cross-functional teams (Scrum)
- Backlog management and crafting user stories
- Early validation methods (MVPs and experiments)
- Establishing key product metrics
- Practical Design Thinking workshop
- Prompt engineering for leaders (applying AI to products)
- Data-driven design approaches
- Service design blueprints (service mapping)
- Expert session on backlog management and prioritization
3. Launching the Product
- Release and roadmap management
- Go-to-market strategies
- Customer onboarding and post-launch experience measurement
- Capturing feedback in the production environment
- Aligning with marketing and sales teams
- Constructing the product funnel and monitoring dashboards
4. Realizing Value
- Product metrics (NPS, DAU, retention, etc.)
- Monetization and pricing models
- Funnel analysis
- Customer value assessment (LTV, CAC, ROI)
- Data-driven iteration
- Managing the product lifecycle
- Ensuring product scalability and sustainability
- Product P&L
- Business case development
Summary and Next Steps
Requirements
- Proficiency in core banking operations.
- Background in developing digital products.
- Foundational knowledge of AI principles.
Target Audience
- Product managers operating within the banking industry.
- Leaders driving digital transformation initiatives.
- Banking experts involved in designing AI-integrated products.
Testimonials (1)
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