Design and Implementation of Anjuke's R&D Efficiency Measurement System

Background : R&D efficiency is a critical focus for both internet and traditional software companies, aiming for higher efficiency, quality, reliability, and sustainable delivery. As Anjuke's technical R&D team expands, the demand for higher R&D efficiency grows, prompting the QA team to develop a comprehensive measurement system over several years.

Measurement System Overview : The system evaluates quality and efficiency across four project stages—requirements, development, testing, and operations—producing metrics for projects, teams, and individuals. Data from each stage is visualized to pinpoint issues and guide improvements.

Quality Metrics include Dev Bug daily clearance rate, per‑person bug‑hour ratio, service availability, weighted total‑score trend, self‑test pass rate, and various composite indicators displayed via charts and radar graphs. These metrics combine process and result indicators to assess both intermediate and final product quality.

Efficiency Metrics cover delivery throughput, stage‑wise delivery cycles, development‑test hour ratio, QA resource consumption, and resource distribution across business lines. Trend and correlation analyses reveal bottlenecks and resource utilization patterns.

Application of Metrics : Visual dashboards enable quick comparison, anomaly detection, and root‑cause analysis. Issues are classified by process or result indicators, and solutions range from process refinements to technical interventions such as performance testing or automated notifications.

Architecture Design : The platform aggregates discrete data from requirement, development, and testing tools, transforms it into structured records, and stores it with project, team, and personal dimensions. Data collection uses APIs for scheduled pulls and message queues for real‑time updates, with periodic full‑data validation.

Data Processing : Collected data undergoes cleaning, integration, and dimensional aggregation, supporting both high‑level summaries and detailed drill‑down analyses.

Data Analysis : The system provides trend analysis (weekly, monthly, quarterly), correlation analysis across multiple indicators, and drill‑down capabilities from department to individual levels, facilitating precise problem localization.

Conclusion : The described measurement framework is tailored to Anjuke's current maturity level, with future plans to incorporate intelligent analysis for automated reporting and deeper insights.