Metrics for Team Success: Measuring Business Impact
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Course overview
About this course
In modern business teams, metrics are essential for making sense of complexity and guiding better decisions. This course helps you move beyond surface-level reporting to measuring impact in ways that support learning, adaptation, and real business outcomes. You will learn how to select, interpret, and apply agile metrics that create clarity, connect work to value, and enable teams to respond effectively as conditions change.
Average time to complete: 3 hours
Format: On-demand, self-paced learning
Credential: Microcredential
Prerequisites: None.
This course can be taken on its own or after Metrics that Matter: Improving Product Outcomes. That course focuses on understanding what metrics are, while this course builds on that foundation to help you determine which metrics work best for your team, goals, and context.
What you'll get: 2 hours of on-demand learning, including story-based lessons, interactive exercises, and quizzes.
Who is this course for?
This course is for professionals who need to make better decisions in environments shaped by uncertainty, rapid change, and increasing expectations for transparency and results.
It is especially valuable for agile teams and leaders who want to use metrics to support inspection, adaptation, and meaningful outcomes rather than compliance or control.
You'll get insights highly relevant to your work if you are in any of the following roles:
Agile team members and delivery professionals
Team leads, managers, and people leaders
Project and program professionals
Agile coaches supporting teams and organizations
Anyone responsible for measuring progress, impact, and value
Course modules
In this module, you will build the foundational knowledge needed to think critically about data. You will explore how to categorize metrics by their scope—team, product, or organization—and learn to distinguish between predictive leading indicators and historical lagging indicators. This module introduces the "Metrics Value Chain," providing a framework to trace team activities directly to meaningful business impact.
Topics:
Categorize metrics by scope (Team, Product, and Organizational).
Distinguish between leading and lagging indicators.
Define the Metrics Value Chain: Activity, Output, Outcome, and Impact.
Identify the role of AI in aggregating and analyzing metrics across different scopes.
In this module, you will learn to go beyond raw numbers to discover the "why" behind the "what." This module focuses on combining quantitative data with qualitative insights—such as retrospective notes and customer feedback—to create a complete narrative of performance. You will explore how to use AI as a copilot to surface recurring sentiments and transform qualitative themes into measurable data.
Topics:
Differentiate between quantitative "what" and qualitative "why" indicators.
Apply methods for combining numerical scales with open-ended feedback.
Convert qualitative data into quantitative insights through analysis.
Leverage AI to scan and cluster sentiments within qualitative data sets.
In this final module, you will apply your knowledge to real-world decision-making and strategic communication. You will learn how to use metrics for diagnosing problems, monitoring progress in real-time, and forecasting future delivery dates. This module emphasizes creating a coherent "system of metrics" tailored to your specific team context and project goals to ensure you are measuring what truly matters.
Topics:
Use metrics for analysis (diagnosing problems) and monitoring (tracking progress).
Apply metrics to motivate teams and predict future outcomes.
Justify the selection of a coherent system of metrics based on team context.
Identify the risks of poorly chosen metrics and the role of AI in predictive alerting and forecasting.
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Unmatched quality and scale
"Simply amazing learning experience!"
"My experience at Scrum Alliance was simply exceptional ... "
Developed by community experts
Our community is at the heart of everything we do. This course wouldn't be possible without the subject matter experts who generously share their time and talent. Join us in recognizing these individuals for helping us inspire and empower our global agile community.
Is a microcredential worth it?
Microcredentials are a great way to continually add new skills with fast and flexible formats. Here are just a few reasons microcredential training is a worthwhile investment for you and your team.
- Focused expertise — gain specialized knowledge in a specific area
- Flexible learning — learn the way you prefer by choosing from live or on-demand learning formats
- Cost-effective — typically less expensive than certifications or degree programs
- Relevant — topics prioritized to cover industry trends and emerging technologies
- Expedient — earn a credential in hours as opposed to weeks, months, or years
- Recognizable — validated by Scrum Alliance, a globally recognized credentialing body
- Practical — build skills and knowledge immediately applicable in your role
- Stackable — combine microcredentials to build comprehensive learning pathways
Train your team!
Interested in purchasing this course for more than one person? We can help.
Measuring impact means understanding how team efforts connect to outcomes and business results, not just tracking output. This course helps you use metrics to learn, adapt, and provide results that delight customers and stakeholders.
You'll learn how to classify metrics by context, distinguish between leading and lagging indicators, use the Metrics Value Chain, combine quantitative and qualitative data, and design a system of metrics that supports better decisions and outcomes.
Numbers show what is happening, but qualitative insights help explain why. This course shows how combining both creates a more complete, trustworthy understanding of performance and progress.
The course emphasizes metrics that enable transparency, inspection, and adaptation. You'll learn how to use metrics to support learning and continuous improvement, not mere comparison and control.
The course explores how AI can support metrics by aggregating data, identifying patterns in qualitative feedback, and assisting with forecasting. AI is presented as a tool to enhance insight and decision-making, while keeping human judgment at the center.
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