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This article examines the importance of R&D efficiency measurement in the digital era, outlines current challenges, proposes principled metric construction, details data collection, cleaning, and analysis methods, and discusses visualization techniques and practical experience for continuous improvement.
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Effective R&D efficiency improvement requires moving from manual, scattered, and unstandardized data collection to mature, integrated systems, defining metrics aligned with business goals, and applying a three‑layer framework—quantifiable, explainable, and intervenable—through cleaning, baseline setting, statistical analysis, root‑cause identification, and ROI‑focused action planning to turn numbers into actionable insights.
The article summarizes the 28th 58 Technology Salon held on April 27, 2022, featuring presentations on R&D efficiency measurement and mobile quality assurance, including detailed Q&A sessions that discuss metrics, data handling, performance testing tools, and practical improvements for development and testing teams.
The article examines historical and modern cases of metric failures, analyzes root causes such as over‑reliance on easy‑to‑collect or single‑dimensional indicators, and offers practical guidance for building multi‑dimensional, automated, and team‑focused measurement systems that truly support software development goals.
This article explains what measurement means in R&D, why it is essential for organizational transformation, outlines key principles and metric categories, and describes a staged approach to building a measurement system that drives continuous improvement and high‑performance teams.