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Duration 40 hours
Course Outline
1. Product Conceptualization
- Recognizing customer needs
- Conducting market and competitive analyses
- Estimating market size relative to specific customer problems or needs
- Segmenting users and defining personas
- Establishing product vision, objectives, and strategy
- Prioritizing initiatives based on value and effort
- Mapping value and identifying desired outcomes
2. Product Development
- User-centered design (UX/UI) practices
- Executing incremental and iterative development within cross-functional teams (Scrum)
- Managing the backlog and authoring user stories
- Utilizing early validation methods (MVPs, experiments)
- Defining key product metrics
- Practical Design Thinking workshop
- Prompt engineering for leaders (applying AI to products)
- Data-informed design decisions
- Service design blueprinting (service mapping)
- Expert-led session on backlog management and prioritization
3. Product Delivery to Customers
- Managing releases and roadmaps
- Implementing go-to-market strategies
- Handling onboarding and assessing post-launch customer experience
- Collecting feedback in production environments
- Collaborating with marketing and sales teams
- Constructing product funnels and monitoring dashboards
4. Value Realization
- Analyzing product metrics (NPS, DAU, retention, etc.)
- Developing monetization and pricing models
- Performing funnel analysis
- Evaluating customer value (LTV, CAC, ROI)
- Driving data-based iteration
- Managing the product lifecycle
- Ensuring product scalability and sustainability
- Reviewing Product P&L
- Building a robust business case
Summary and Next Steps
Requirements
- A solid understanding of banking operations
- Hands-on experience in digital product development
- Basic familiarity with AI concepts
Target Audience
- Product managers within the banking industry
- Leaders driving digital transformation
- Banking professionals engaged in AI-driven product design
Testimonials (1)
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