Course Outline

1. Thinking about the Product

  • Identifying customer needs
  • Market and competitor analysis
  • Defining market size associated with the customer problem or need
  • User segmentation and persona definition
  • Product vision, purpose, and strategy
  • Value/effort-based prioritization
  • Value maps and desired outcomes

2. Creating the Product

  • User-centered design (UX/UI)
  • Incremental and iterative development with cross-functional teams (Scrum)
  • Backlog management and writing user stories
  • Early validation techniques (MVP, experiments)
  • Defining product metrics
  • Practical Design Thinking workshop
  • Prompt engineering for leaders (AI applied to products)
  • Data-driven design
  • Service design blueprint (service mapping)
  • Backlog management and prioritization (session with expert)

3. Delivering the Product to the Customer

  • Release and roadmap management
  • Go-to-market strategies
  • Onboarding and measuring post-launch product experience
  • Gathering feedback in production
  • Coordination with marketing and sales
  • Building the product funnel and monitoring dashboard

4. Capturing Value

  • Product metrics (NPS, DAU, retention, etc)
  • Monetization and pricing models
  • Funnel analysis
  • Customer value (LTV, CAC, ROI)
  • Data-driven iteration
  • Product lifecycle management
  • Scalability and sustainability of the product
  • Product P&L
  • Business case

Summary and Next Steps

Requirements

  • An understanding of banking operations
  • Experience with digital product development
  • Familiarity with basic AI concepts

Audience

  • Product managers in the banking sector
  • Digital transformation leaders
  • Banking professionals involved in AI-driven product design
 40 Hours

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