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Duration 40 hours
Course Outline
1. Product Conception
- Recognizing customer needs
- Analysis of market trends and competitors
- Assessing the market size related to the customer problem or requirement
- Segmentation of users and definition of personas
- Establishing product vision, objectives, and strategic direction
- Prioritization based on value and effort
- Creation of value maps and desired outcomes
2. Product Creation
- User-centered design (UX/UI)
- Incremental and iterative development using cross-functional teams (Scrum)
- Backlog management and drafting user stories
- Early validation methods (MVP, experiments)
- Setting product metrics
- Practical Design Thinking workshop
- Prompt engineering for leaders (applying AI to products)
- Data-informed design
- Service design blueprint (service mapping)
- Backlog management and prioritization (expert-led session)
3. Product Delivery to Customers
- Release and roadmap management
- Go-to-market strategies
- Onboarding processes and evaluating post-launch product experience
- Capturing feedback in the production environment
- Alignment with marketing and sales teams
- Constructing the product funnel and monitoring dashboards
4. Value Realization
- Product metrics (NPS, DAU, retention, etc.)
- Monetization and pricing models
- Funnel analysis
- Customer value assessment (LTV, CAC, ROI)
- Data-driven iteration
- Product lifecycle management
- Ensuring product scalability and sustainability
- Product P&L
- Business case development
Summary and Recommended Next Steps
Requirements
- A solid grasp of banking operations
- Background in digital product development
- Knowledge of fundamental AI concepts
Target Audience
- Product managers within the banking industry
- Leaders driving digital transformation
- Banking professionals engaged in AI-led product design
Testimonials (1)
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