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 Duration 40 hours

Course Outline

1. Product Conceptualization

  • Understanding customer requirements
  • Analyzing market trends and competitors
  • Determining market size related to specific customer issues or needs
  • Segmenting users and defining personas
  • Establishing product vision, purpose, and strategy
  • Prioritizing features based on value and effort
  • Mapping value and defining desired outcomes

2. Product Development

  • User-centric design (UX/UI)
  • Iterative development with cross-functional teams using Scrum
  • Managing backlogs and crafting user stories
  • Techniques for early validation (MVPs, experiments)
  • Establishing key product metrics
  • Practical Design Thinking workshop
  • Leader-level prompt engineering (applying AI to products)
  • Data-informed design processes
  • Service design blueprints (service mapping)
  • Expert-led session on backlog management and prioritization

3. Product Delivery to Customers

  • Managing releases and roadmaps
  • Developing go-to-market strategies
  • Onboarding users and assessing post-launch experience
  • Collecting feedback in live environments
  • Collaborating with marketing and sales teams
  • Constructing product funnels and monitoring dashboards

4. Value Realization

  • Tracking product metrics (NPS, DAU, retention, etc.)
  • Exploring monetization and pricing structures
  • 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
  • Building a robust business case

Overview and Future Actions

Requirements

  • Fundamental understanding of banking operations
  • Background in digital product development
  • Basic knowledge of AI concepts

Target Audience

  • Product managers within the banking industry
  • Leaders driving digital transformation
  • Banking professionals engaged in AI-led product design

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