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Duration 40 hours
Course Outline
1. Conceptualizing the Product
- Identifying customer needs
- Analyzing the market and competitors
- Assessing market size related to specific customer problems or needs
- Segmenting users and defining personas
- Establishing product vision, purpose, and strategy
- Prioritizing based on value versus 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)
- Managing the product backlog and crafting user stories
- Techniques for early validation (MVPs, experiments)
- Defining key product metrics
- Practical Design Thinking workshop
- Leadership-focused prompt engineering (applying AI to products)
- Data-informed design processes
- Service design blueprints (service mapping)
- Expert-led session on backlog management and prioritization
3. Delivering the Product to Customers
- Managing releases and the product roadmap
- Formulating go-to-market strategies
- Handling onboarding and evaluating post-launch user experience
- Collecting feedback from production environments
- Collaborating with marketing and sales teams
- Constructing product funnels and monitoring dashboards
4. Realizing Value
- Key product metrics (NPS, DAU, retention, etc.)
- Monetization strategies 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
- Analyzing product Profit & Loss (P&L)
- Developing a robust business case
Recap and Future Directions
Requirements
- Fundamental knowledge of banking operations
- Hands-on experience in digital product development
- Basic familiarity with core AI concepts
Target Audience
- Product managers within the banking industry
- Leaders driving digital transformation
- Banking professionals engaged in designing AI-powered products
Testimonials (1)
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