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Duration 40 hours
Course Outline
1. Conceptualizing the Product
- Identifying customer needs
- Market and competitor analysis
- Assessing market size related to specific customer problems or needs
- User segmentation and persona definition
- Establishing product vision, purpose, and strategy
- Prioritization based on value and effort
- Creating value maps and defining desired outcomes
2. Building the Product
- User-centered design (UX/UI)
- Incremental and iterative development using cross-functional teams (Scrum)
- Backlog management and user story creation
- Early validation methods (MVPs, experiments)
- Defining key product metrics
- Practical Design Thinking workshop
- Prompt engineering for leaders (applying AI to products)
- Data-driven design principles
- Service design blueprints (service mapping)
- Backlog management and prioritization (expert-led session)
3. Launching the Product for Customers
- Release planning and roadmap management
- Go-to-market strategies
- Customer onboarding and post-launch experience measurement
- Collecting feedback in production environments
- Aligning with marketing and sales teams
- Developing the product funnel and monitoring dashboards
4. Realizing Value
- Key product metrics (NPS, DAU, retention, etc.)
- Monetization and pricing models
- Funnel analysis
- Customer value assessment (LTV, CAC, ROI)
- Iteration based on data insights
- Product lifecycle management
- Ensuring product scalability and sustainability
- Product P&L analysis
- Business case development
Summary and Next Steps
Requirements
- A solid understanding of banking operations
- Practical experience in digital product development
- Familiarity with fundamental AI concepts
Target Audience
- Product managers within the banking sector
- Digital transformation leaders
- Banking professionals engaged in AI-driven product design
Testimonials (1)
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