• Accelerate the journey to R&D excellence

    Numetrics delivers analytics-driven R&D performance
    benchmarks and accurate estimates of design complexity, project
    duration, and staffing requirements to optimize productivity and
    reduce project delays, typically resulting in 20-40% higher R&D
    capacity and 60-90% reduction in TTM delays.

R&D projects are often delivered late and over budget. Numetrics allows R&D leaders to measure the productivity achieved by their development teams, benchmark their performance against industry peers, determine root-causes of low productivity, and generate more accurate plans for new projects.

Use Numetrics’ tools to answer critical questions in R&D
execution such as:

  • How productive is our R&D organization vs. our peers?
  • How can I improve time-to-market performance and evaluate overall R&D performance?
  • What factors are driving my productivity lower than my peers?
  • What is the optimal allocation of resources for a project to reduce scheduling risk and minimize my R&D spending?
  • How do I generate optimal and more accurate plans for new projects?

What Numetrics provides

The Numetrics platform relies on comprehensive databases of industry projects (2,000+ integrated circuit and 1,600+ software projects) and on proprietary advanced-analytics models. Numetrics is delivered as a Software-as-a-Service (SaaS) through an easy-to-use web interface. The main Numetrics products are:

R&D Performance Benchmarking

Create a project-level productivity baseline by analyzing the complexity and execution of recent projects. Benchmark your R&D performance across multiple dimensions such as: productivity, throughput, cycle time, quality, internally and against industry peers.

Root Cause Analysis

Use analytic tools to highlight probable causes and drivers of low productivity, bottlenecks and inefficiency. Compare to industry best practices to identify gaps and determine a recommended course of action.

Project Planner

Use predictive analytics to provide better transparency into schedule, cost and required staffing levels at the project’s outset. Run what-if scenarios to determine optimal cycle time, staffing levels and functionality tradeoffs. Assess schedule risk of current plan due to unrealistic productivity assumptions.

Benchmarking example: productivity vs. team size
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Root-cause analysis example: effort spent by function
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Project planning example: staffing needs by role by phase
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Use Numetrics to optimize project planning and reconcile competing constraints, including resource availability, product functionality, time-to-market and development cost. 

Gain transparency

  • Measure and create a baseline for R&D capability across metrics, e.g., productivity, throughput, cycle time, quality
  • Identify root causes of bottlenecks, low productivity, and inefficiency
  • Benchmark internally across groups and externally to industry peers
  • Understand what best-in-class peers do differently

Optimize project planning and risk assessment

  • Determine schedule, resources, and cost requirements
  • Readily identify high-risk project plans before committing
  • Optimally staff projects to achieve maximum productivity
  • Quantify your R&D organization’s capacity

Boost R&D productivity & throughput

  • Plan and execute a successful R&D transformation program
  • Identify and apply internal best practices across teams
  • Design tailored improvement initiatives

Relevant for

Software, embedded software, integrated circuits, intellectual property (IP), and FPGA, development

Working with us

Numetrics can be applied either as a one-time performance diagnostic or as an ongoing subscription to continuously monitor performance and better manage new projects.

Diagnostic engagement

  • Analytic R&D Diagnostic spans 4 – 6 weeks
  • Deep R&D Diagnostic spans 8 – 10 weeks

Annual subscription

Numetrics' solutions are available on a subscription basis. Companies can license Numetrics’ SaaS applications and log in directly via standard web browsers. Subscriptions include user training and support and can be supplemented with expert consulting services.

Contact: Numetrics@mckinsey.com



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