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Duration 40 hours
Course Outline
1. Product Ideation
- Identifying customer needs
- Conducting market and competitor analysis
- Estimating market size relevant to customer problems or needs
- Defining user segments and personas
- Establishing product vision, purpose, and strategy
- Prioritization based on value and effort
- Creating value maps and defining desired outcomes
2. Product Creation
- User-centered design (UX/UI)
- Iterative, incremental development with cross-functional teams (Scrum)
- Managing the backlog and authoring user stories
- Early-stage validation techniques (MVPs and experiments)
- Setting product metrics
- Hands-on Design Thinking workshop
- Leadership prompt engineering (applying AI to products)
- Data-informed design practices
- Service design blueprints (service mapping)
- Backlog management and prioritization (expert-led session)
3. Product Delivery
- Managing releases and roadmaps
- Developing go-to-market strategies
- Onboarding users and measuring post-launch experience
- Collecting feedback from production environments
- Aligning with marketing and sales teams
- Constructing product funnels and monitoring dashboards
4. Value Capture
- Analyzing product metrics (NPS, DAU, retention, etc.)
- Monetization and pricing strategies
- Funnel analysis
- Customer value assessment (LTV, CAC, ROI)
- Data-driven iteration processes
- Managing the product lifecycle
- Ensuring product scalability and sustainability
- Product P&L analysis
- Developing business cases
Summary and Next Steps
Requirements
- A solid grasp of banking operations
- Practical experience in digital product development
- Basic knowledge of AI fundamentals
Target Audience
- Product managers within the banking sector
- Leaders driving digital transformation
- Banking professionals focused on AI-driven product design
Testimonials (1)
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