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Duration 40 hours
Course Outline
1. Conceptualizing the Product
- Identifying customer needs
- Market and competitor analysis
- Defining the market size related to customer problems or needs
- User segmentation and persona creation
- Establishing product vision, purpose, and strategy
- Prioritization based on value and effort
- Value mapping and defining desired outcomes
2. Building the Product
- User-centered design (UX/UI)
- Incremental and iterative development with cross-functional teams (Scrum)
- Backlog management and crafting 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 processes
- Service design blueprint (service mapping)
- Backlog management and prioritization (expert-led session)
3. Launching the Product to Customers
- Release and roadmap management
- Go-to-market strategies
- Onboarding processes and post-launch experience measurement
- Collecting feedback from production environments
- Aligning with marketing and sales teams
- Constructing the product funnel and monitoring dashboards
4. Realizing Business Value
- Product metrics (NPS, DAU, retention, etc.)
- Monetization and pricing models
- Funnel analysis
- Customer value assessment (LTV, CAC, ROI)
- Data-driven iteration cycles
- Product lifecycle management
- Ensuring product scalability and sustainability
- Product P&L analysis
- Business case development
Summary and Next Steps
Requirements
- A solid grasp of banking operations
- Practical experience in digital product development
- Basic familiarity with AI concepts
Target Audience
- Product managers within the banking sector
- Leaders driving digital transformation
- Banking professionals engaged in AI-driven product design
Testimonials (1)
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