Product Leadership and Digital Delivery Excellence

Details

This hands-on program covers the full digital product lifecycle—from problem discovery to launch and iteration. Participants craft a product vision, validate assumptions with rapid experiments, convert requirements into testable user stories, align engineering and design, manage roadmaps and sprints, and instrument meaningful metrics for continuous improvement and responsible governance.

Target Group

Target Group

• Product managers/owners and digital product leaders
• Engineering leads, analysts, and UX/design practitioners
• Business analysts and digital transformation leaders
• Growth/marketing and customer support teams for digital products
• Security, compliance, and data partners supporting product delivery
  

Goals

• Define a clear product vision and value thesis tied to user needs and business outcomes
• Run structured discovery to convert insights into testable hypotheses and experiments
• Translate requirements into measurable user stories with explicit acceptance criteria
• Orchestrate agile delivery, releases, and quality/security guardrails with engineering
• Build a metrics system for adoption, activation, retention, and satisfaction, enabling continuous improvement
  

Target Competencies

Target Competencies

• Product visioning and value discovery aligned to user and business needs
• Requirements translation into testable user stories and rapid experiments
• Agile roadmap and sprint execution balancing speed, quality, and risk
• Technical alignment with security, quality, and scalability in mind
• Product analytics, behavioral insight, and continuous improvement cycles
• Decision governance with documented risks, assumptions, and compliance

Outlines

Vision & Value Discovery

• Crafting a product vision, success measures, and competitive context
• Rapid research: interviews, observations, journey mapping, “jobs to be done”
• Prioritized user segments and high-value use cases
• Converting insights into testable hypotheses and a critical assumptions map
• Value canvas linking problems, solutions, outcomes, and impact stories

Requirements & Experiment-Led Design

• Writing user stories with acceptance criteria aligned to business goals
• Prototyping approaches: wireframes, flows, key scenarios
• Experiment design: A/B tests, fake-door, concierge trials, decision metrics
• Accessibility, usability, and core visual design principles
• Design decision logs and learning records