AI + Agile ProfessionalData-Driven Agile Leadership with AI — Metrics, Experiments and Better Business Decisions
Instructor
David Betzold
Reviews
Course Overview
Learn to use delivery, flow and outcome evidence to make better Agile leadership decisions, with an AI assistant to support analysis and you remaining accountable for judgement. You build a data-driven improvement plan in six parts: a metric set with definitions, an analysis approach, experiments and decision records, a dashboard sketch, an operating rhythm and an ethics statement for using data about people and teams.
Level: Expert
Who it’s for: Agile leaders, delivery managers, Scrum Masters, Agile coaches and senior managers
Pacing: Self-paced, with a practical exercise in most lessons.
What you’ll learn:
- Choose a small, balanced set of outcome, flow, value and quality measures, and define them clearly
- Prepare delivery data, explore it with an AI assistant and check the analysis for errors
- Forecast with ranges and watch early risk signals
- Run improvement experiments and record decisions and learning
- Hold metrics conversations that build trust, and report to executives honestly
- Use data about people and teams responsibly
What You'll Learn?
- Choose meaningful agile and business measures for evidence-based decisions
- Use AI to explore delivery and customer data, and check the analysis
- Run improvement experiments and record decisions
- Use data responsibly, avoiding metric misuse and bias
- Build a data-informed leadership routine and improvement plan
- Agile leaders, delivery managers, Scrum Masters, Agile coaches and senior managers
- Solid experience with agile or Scrum
- Experience leading teams or portfolios
- Access to team or delivery data to practise on, or anonymised sample data if you cannot share your own