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Duration 40 hours
Course Outline
1. Conceptualizing the Product
- Recognizing customer needs
- Analyzing the market and competitors
- Estimating market size related to specific customer problems or needs
- Segmenting users and defining personas
- Establishing product vision, purpose, and strategy
- Prioritizing based on value and effort
- Creating value maps and identifying desired outcomes
2. Building the Product
- User-centric design (UX/UI)
- Iterative development with cross-functional teams (Scrum)
- Managing the backlog and crafting user stories
- Applying early validation techniques (MVP, experiments)
- Setting product metrics
- Conducting a practical Design Thinking workshop
- Prompt engineering for leaders (applying AI to products)
- Data-informed design
- Developing a service design blueprint (service mapping)
- Backlog management and prioritization (expert-led session)
3. Launching the Product to Customers
- Managing releases and roadmaps
- Formulating go-to-market strategies
- Onboarding users and assessing post-launch product experience
- Collecting feedback in production environments
- Aligning with marketing and sales teams
- Constructing the product funnel and monitoring dashboards
4. Realizing Value
- Tracking product metrics (NPS, DAU, retention, etc.)
- Developing monetization and pricing models
- Conducting funnel analysis
- Evaluating customer value (LTV, CAC, ROI)
- Implementing data-driven iteration
- Managing the product lifecycle
- Ensuring product scalability and sustainability
- Analyzing product P&L
- Building the business case
Wrap-up and Next Steps
Requirements
- A solid grasp of banking operations
- Hands-on experience in digital product development
- Basic familiarity with AI principles
Intended Audience
- Product managers within the banking industry
- Leaders driving digital transformation
- Banking professionals engaged in AI-driven product design
Testimonials (1)
i already have some reports that i know, i will use some of the prompts that looked at today
