Challenges and Proper Practices for Measuring Software Development Efficiency

To address the volatile, uncertain, complex, and ambiguous internet environment, JD launched a digital management strategy early this year, aiming to improve organizational performance through digital technologies and management models; consequently, enhancing R&D efficiency has become a key goal for many product and technology teams.

The article identifies three core challenges in measuring R&D efficiency: poor visibility across cross‑functional tasks, arbitrary work segmentation that can distort KPI outcomes, and the parallel nature of work in agile development that makes stage‑based measurement difficult.

It then reviews existing measurement practices—clock‑in or work‑hour data, output‑based metrics such as lines of code or defect counts, and agile concepts like story points—highlighting their limitations and potential to incentivize unproductive behavior.

Based on two guiding principles—focusing on global rather than local indicators, and on result output rather than intermediate work—the authors propose a proper measurement posture centered on end‑to‑end flow efficiency, while still considering resource efficiency.

The proposed metric framework consists of three dimensions: delivery efficiency (e.g., demand delivery cycle, development cycle, delivery throughput), delivery quality (e.g., online defect density, mean time to recovery, release success rate), and delivery capability (e.g., release frequency, lead time from code commit to production). Detailed definitions and calculation logic are illustrated in accompanying tables and diagrams.

By integrating these metrics with JD’s extensive R&D infrastructure data—project management, agile collaboration, code repositories, CI/CD, and monitoring—the organization aims to provide more realistic efficiency insights, drive targeted improvements, and ultimately shift from a resource‑efficiency‑centric mindset to one that prioritizes flow efficiency and high‑quality, rapid delivery of user value.