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Duration 40 hours
Course Outline
1. Product Conceptualization
- Identifying core customer needs
- Analyzing market dynamics and competitors
- Determining market size relative to specific customer problems or needs
- Segmenting users and defining personas
- Establishing product vision, purpose, and strategic direction
- Prioritizing initiatives based on value and effort
- Mapping value and defining desired outcomes
2. Product Development
- User-centered design (UX/UI)
- Incremental and iterative development with cross-functional teams (Scrum)
- Managing the backlog and crafting user stories
- Applying early validation techniques (MVPs and experiments)
- Defining key product metrics
- Hands-on Design Thinking workshop
- Leader-focused prompt engineering (Applying AI to products)
- Data-driven design approaches
- Service design blueprinting and mapping
- Backlog management and prioritization (expert-led session)
3. Product Delivery
- Managing releases and roadmaps
- Developing go-to-market strategies
- Onboarding customers and measuring post-launch experience
- Collecting feedback in production environments
- Aligning with marketing and sales teams
- Constructing product funnels and monitoring dashboards
4. Value Realization
- Tracking product metrics (NPS, DAU, retention, etc.)
- Implementing monetization and pricing models
- Conducting funnel analysis
- Evaluating customer value (LTV, CAC, ROI)
- Iterating based on data insights
- Managing the product lifecycle
- Ensuring product scalability and sustainability
- Reviewing Product P&L
- Developing robust business cases
Wrap-up and Future Actions
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 overseeing digital transformation
- Banking professionals engaged in AI-driven product design
Testimonials (1)
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