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 Duration 40 hours

Course Outline

1. Product Conceptualization

  • Recognizing customer needs
  • Market and competitor assessment
  • Estimating market size relative to customer issues or requirements
  • User segmentation and persona development
  • Establishing product vision, intent, and strategy
  • Prioritization based on value and effort
  • Creating value maps and defining desired outcomes

2. Product Development

  • User-centric design (UX/UI)
  • Incremental and iterative development using cross-functional teams (Scrum)
  • Backlog administration and drafting user stories
  • Initial validation methods (MVP, experiments)
  • Setting key performance indicators
  • Practical Design Thinking session
  • Prompt engineering for leadership (AI application in products)
  • Data-informed design approaches
  • Service design blueprinting (service mapping)
  • Backlog governance and prioritization (expert-led session)

3. Product Delivery

  • Release planning and roadmap oversight
  • Go-to-market approaches
  • Onboarding and evaluating post-launch experience
  • Collecting feedback in live environments
  • Aligning with marketing and sales teams
  • Constructing product funnels and monitoring dashboards

4. Value Realization

  • Product KPIs (NPS, DAU, retention, etc.)
  • Revenue models and pricing strategies
  • Funnel examination
  • Customer value analysis (LTV, CAC, ROI)
  • Iterative improvements driven by data
  • Managing the product lifecycle
  • Ensuring scalability and long-term viability
  • Product Profit & Loss
  • Developing the business case

Wrap-up and Future Directions

Requirements

  • Fundamental understanding of banking operations
  • Practical experience in digital product development
  • Basic familiarity with AI principles

Target Audience

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

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