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 Duration 40 hours

Course Outline

1. Product Ideation

  • Recognising customer needs
  • Analysing the market and competitors
  • Estimating market size relative to specific customer problems or needs
  • Segmenting users and defining personas
  • Establishing product vision, purpose, and strategic direction
  • Prioritisation based on value and effort
  • Mapping value and identifying desired outcomes

2. Product Creation

  • User-centric design (UX/UI)
  • Agile development with cross-functional teams (Scrum)
  • Managing backlogs and authoring user stories
  • Early-stage validation techniques (MVP, experiments)
  • Setting product metrics
  • Design Thinking practical workshop
  • Prompt engineering for leaders (applying AI to products)
  • Data-informed design
  • Service design blueprints (service mapping)
  • Expert-led session on backlog management and prioritisation

3. Product Delivery

  • Managing releases and roadmaps
  • Go-to-market strategies
  • Onboarding and assessing the post-launch experience
  • Collecting feedback in live environments
  • Aligning with marketing and sales teams
  • Constructing the product funnel and monitoring dashboards

4. Value Realisation

  • Key product metrics (NPS, DAU, retention, etc.)
  • Monetisation and pricing strategies
  • Funnel analysis
  • Customer value assessment (LTV, CAC, ROI)
  • Iterative improvement based on data
  • Product lifecycle management
  • Ensuring scalability and sustainability
  • Product P&L analysis
  • Developing the business case

Summary and Future Directions

Requirements

  • A solid grasp of banking operations
  • Hands-on experience in digital product development
  • Basic knowledge of AI concepts

Target Audience

  • Product managers within the banking industry
  • Leaders overseeing digital transformation
  • Banking specialists engaged in AI-driven product design

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