The most important R&D performance metrics
Engineering utilization, productivity and throughput are among the most important metrics for measuring R&D performance. If you want to improve your R&D capability, focus on these three metrics.
Productivity and utilization directly determine throughput, and throughput is the most important of all R&D performance metrics. It measures the rate at which an R&D team develops production-ready products. The higher the productivity and utilization, the higher the R&D throughput. Higher throughput means the R&D team churns out more products in a given period of time. That usually translates to revenue and profits— assuming the rest of the enterprise pulls its weight. Big assumption, right?
To read the full article, click here
Related Semiconductor IP
- USB 20Gbps Device Controller
- 25MHz to 4.0GHz Fractional-N RC PLL Synthesizer on TSMC 3nm N3P
- AGILEX 7 R-Tile Gen5 NVMe Host IP
- 100G PAM4 Serdes PHY - 14nm
- Bluetooth Low Energy Subsystem IP
Related Blogs
- SSD Interfaces and Performance Effects
- Firmware as the performance differentiator for SSD controllers
- Throughput, not productivity, is what matters
- R&D predictability: The path to profitability
Latest Blogs
- Cadence Powers AI Infra Summit '25: Memory, Interconnect, and Interface Focus
- Integrating TDD Into the Product Development Lifecycle
- The Hidden Threat in Analog IC Migration: Why Electromigration rules can make or break your next tapeout
- MIPI CCI over I3C: Faster Camera Control for SoC Architects
- aTENNuate: Real-Time Audio Denoising