InfoQ Homepage Measurement Content on InfoQ
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Critical Metrics to Keep Delivering Software Effectively in the "New Normal" World
The health of your software delivery capability is critical in the ‘new normal’ world. This requires the ability to track a hierarchy of metrics. Our top five overall delivery health metrics include: Time to Value; Deployment Frequency; and Team Engagement. Whichever metrics you choose, it is managing to metrics that is critical in the ‘new normal’ world.
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Data-Driven Decision Making – Optimizing the Product Delivery Organization
The Data-Driven Decision Making Series provides an overview of how the three main activities in the software delivery - Product Management, Development and Operations - can be supported by data-driven decision making. Applying Hypotheses, CD Indicators and SRE’s SLIs / SLOs enables a software delivery organization to optimize for effectiveness, efficiency and service reliability.
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Data-Driven Decision Making – Product Operations with Site Reliability Engineering
The Data-Driven Decision Making Series provides an overview of how the three main activities in the software delivery - Product Management, Development and Operations - can be supported by data-driven decision making. In Operations, SRE’s SLIs and SLOs can be used to steer the reliability of services in production.
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Article Series: Data-Driven Decision Making
The Data-Driven Decision Making Series provides an overview of how the three main activities in the software delivery - Product Management, Development and Operations - can be supported by data-driven decision making.
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Data-Driven Decision Making – Product Development with Continuous Delivery Indicators
The Data-Driven Decision Making Series provides an overview of how the three main activities in the software delivery - Product Management, Development and Operations - can be supported by data-driven decision making. In Development, Continuous Delivery Indicators can be used to steer the efficiency of the development process.
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Data-Driven Decision Making – Product Management with Hypotheses
The Data-Driven Decision Making Series provides an overview of how the three main activities in the software delivery - Product Management, Development and Operations - can be supported by data-driven decision making. In Product Management, hypotheses can be used to steer the effectiveness of product decisions about feature prioritization.
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Using OKRs to Build Autonomous Impact Teams
To focus on outcomes rather than outputs, Meilleurs Agents uses the Objective and Key Results framework to align the whole company on what they want to achieve. Christopher Parola and Nicolas Baron gave a presentation at FlowCon France 2019 where they showed how they implemented the OKR method and turned their product and tech teams into impact teams.
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Velocity and Better Metrics: Q&A with Doc Norton
Velocity is not good for predictions or diagnostics, argued Doc Norton at Experience Agile 2019. It's a lagging indicator of a complex system which is too volatile to know what our future performance will be; it isn’t stable enough to be used reliably. We can use Monte Carlo simulation for forecasting, and cumulative flow diagrams to track work, see changes in scope, and spot bottlenecks.
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Q&A on the Book Managing Technical Debt
The book Managing Technical Debt by Philippe Kruchten, Robert Nord, and Ipek Ozkaya provides principles and practices that help you gain control of technical debt throughout the software development process and life of the software product.
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Q&A on the Book Accelerate: Building and Scaling High Performance Technology Organizations
The book Accelerate: Building and Scaling High Performance Technology Organizations by Nicole Forsgren, Jez Humble, and Gene Kim, explores the factors that impact software delivery performance and describes capabilities and practices that help to achieve higher levels of throughput, stability, and quality.
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Q&A on the Book Fit for Purpose
The book Fit for Purpose by David Anderson and Alexei Zheglov explores how companies can understand their customers and develop products that fit with the purpose(s) their customers have. It provides a framework to help you understand customers’ purposes, segment your market according to purpose, and manage the portfolio of products and services to create happy customers.
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Customize Your Agile Approach: Start with Results You Want
This is the second in a series of articles that will help you think about how you might want to customize your agile approach for your context. This article is about the data teams might collect and use—working product and other measures—that you might want to share with your managers and stakeholders.