Agile Metrics

[mitsumi]

Agile Metrics
Published 11/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 477.89 MB | Duration: 0h 31m


Metrics for Agile Governance
What you'll learn
Software engineering
Project management methodology and its metrics.
Metrics
Agile metrics and how to use them in everyday life
Requirements
Knowledge of project management
Knowledge of project management metodologies
Description
This course contains the use of artificial intelligence.In this course, we use an avatar created with artificial intelligence for the course narrations.In this program, you will develop a comprehensive understanding of the principal metrics used in agile governance and learn how to employ them to sustain informed, data-driven decision-making. Rather than chasing vanity numbers or measuring for the sake of measurement, the emphasis will rest on selecting performance indicators that genuinely align with your organizational strategy, delivery context, and value-creation objectives. You will explore how to interpret each metric, how to combine them for improved transparency, and how to guide teams and stakeholders toward predictable, sustainable delivery. No magic wands, simply disciplined empirical management.Participants will examine the characteristics and practical application of essential metrics, including:Lead Time and Cycle Time to evaluate flow efficiency from request to delivery.Throughput to quantify delivery capacity across a given time frame.Service Level Expectation (SLE) to define and communicate expected delivery performance.Monte Carlo forecasting to project delivery outcomes with probabilistic rigor instead of blind optimism.Work-in-Progress (WIP) limits to avoid multitasking chaos and preserve flow stability.Aging charts to identify aging work items and flow bottlenecks.Control Charts and Cumulative Flow Diagrams (CFD) to assess system health and flow consistency.Velocity, Burn Down, and Burn Up charts to monitor iteration progress, value delivery, and goal convergence.Predictability Index to evaluate consistency and reliability of delivery over time.By the end, you will be equipped to select and apply metrics appropriately to your company or project context, fostering better alignment between delivery performance and strategic business goals. In short, you will stop running projects on hope and start running them on evidence.
Developers, Scrum Master, Product Owner,Project Managers

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