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 Duration 40 hours

Course Outline

1. Product Thinking

  • Identifying customer needs
  • Market and competitor analysis
  • Assessing market size in relation to customer problems or needs
  • User segmentation and persona definition
  • Product vision, purpose, and strategy
  • Prioritisation based on value and effort
  • Value maps and desired outcomes

2. Product Creation

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

3. Product Delivery

  • Release and roadmap management
  • Go-to-market strategies
  • Onboarding and measuring post-launch product experience
  • Collecting feedback in production
  • Aligning with marketing and sales teams
  • Constructing the product funnel and monitoring dashboard

4. Value Realisation

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

Summary and Next Steps

Requirements

  • Comprehension of banking operations
  • Background in digital product development
  • Knowledge of fundamental AI concepts

Audience

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

Number of participants


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Provisional Upcoming Courses (Require 5+ participants)

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