InfoQ Homepage Measurement Content on InfoQ
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Improving Speed and Stability of Software Delivery Simultaneously at Siemens Healthineers
In this article, we focus on the software delivery process at Siemens Healthineers Digital Health. The process is subject to strict regulations valid in the medical industry. We show our journey of transforming the process towards speed and stability. Both measures improved at the same time during the transformation, confirming research from the “Accelerate” book.
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A Journey in Test Engineering Leadership: Applying Session-Based Test Management
This article shows how modifying Session-based Test Management to our context helped us gain more visibility into our testing. Having a structured yet flexible approach to test management allowed us to make better, more timely decisions about the testing, and gave us more opportunities to influence quality decisions earlier in the process.
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Q&A on the Book Infinite Gamification
The book Infinite Gamification by Toby Beresford explains how to create sustainable gamification programs that motivate teams and individuals for continuous improvement, using prime directives, scores, measurements, and badges. Using gamification you can design staff scorecards that drive behavior.
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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.