Flow Metrics

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Flow Metrics offer a methodology for effectively quantifying, measuring and improving the throughput of DevOps work streams.

Monitor key performance indicators (KPIs) to track progress and identify bottlenecks in the development process. Use metrics like cycle time, lead time, and throughput to measure team performance and make data-driven decisions for improvement.

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High Performance Measurement

Establishing the right DevOps metrics will enable development teams to define and measure what matters, providing a control loop for ensuring their transformation and new working processes deliver high performance results.

Tasktop describes that there are four Flow Metrics that measure how value flows through a product’s value stream, calculated on four Flow Items – units of work that matter to a business: features, defects, debt, and risk.

Flow Velocity gauges whether value delivery is accelerating also referred to as throughput.
Flow Time measures the time it takes for Flow Items to go from ‘work start’ to ‘work complete’, including both active and wait times.
Flow Efficiency is the ratio of active time vs. wait time out of the total Flow Time.
Flow Load monitors the number of Flow Items currently in progress (active or waiting) within a particular value stream.

Developer Velocity Index

McKinsey developed the Developer Velocity Index (DVI) from an in-depth survey of senior executives at 440 large enterprises, more than 100 expert interviews, and extensive external research.

DORA

Google's DevOps research team defined 'DORA' - ‘Four Keys’ of Deployment Frequency (DF), Lead Time for Changes (LTC), Mean Time to Recovery (MTTR), and Change Failure Rate (CFR).