Traditional project-sizing methodologies rely on a team’s subjective opinions and experience. Numetrics applies predictive analytics – calibrated by data from 2,000+ integrated circuit and 1,700+ software projects – to make accurate forecasts about resources and timing.

Numetrics relies on proprietary and field-proven complexity, productivity, and predictive models to analyze team performance. We use root cause analysis and issue-specific recommendations to identify causes of low productivity, and ensure that teams become more productive with each project.

Numetrics has nearly 20 years’ experience improving R&D operations for the semiconductor, automotive, industrial, aerospace and defense, high tech, networking, and medical industries.

Numetrics R&D Analytics

Numetrics R&D Analytics

Performance benchmarking used to track the impact of Agile adoption

Performance benchmarking used to track the impact of Lean transformation

Effort estimations used to better understand impact from change requests

Portfolio level planning used to optimize resource allocation and avoid bottlenecks

Diagnostic used to highlight causes of low productivity and determine recommended course of action