facebook pixelProductivity - Shaw and Partners

AI Productivity Metrics, Backed
BY Stanford Research & P10Y

Expert-Level Code Review, Powered by AI

AI models can now mirror expert code assessments — in seconds, not hours.

Grounded in Stanford Research

The system was trained on reviews by senior software professionals using structured evaluation criteria.

Validated with Real Code, Not Theory

70 real Java commits were analyzed by 10 experts to create a solid evaluation benchmark.

Beyond LOC & Story Points

Traditional metrics fall short — AI estimation correlates better with real development effort.

99% Faster Than Manual Review

AI gives expert-level insights in under 1 second per commit.

Applied by P10Y, Informed by Stanford

This approach is actively used by P10Y and grounded in Stanford’s peer-reviewed research.

We are a proud P10Y reseller
P10Y

Analyze source code to measure
developer productivity

INTERNAL & INDUSTRY PRODUCTIVITY
BENCHMARKING

Our universal, tech-agnostic output metric lets you benchmark your team's performance against other organizations.

Productivity benchmarking chart

BASED ON STANFORD RESEARCH

Our model delivers scientifically-validated software productivity insights

Stanford Reasearch

REAL-TIME & HISTORICAL INSIGHTS

Analyze your current performance and the impact of past decisions

Historical and Real Time Insights

CLOUD & ON-PREM VERSIONS

Choose between cloud or on-prem deployment (for heightened security needs)

Cloud and On-Prem Versions

AI Productivity Evaluation

  • Developer Contribution Assessment

    analysis of added, deleted, refactored, and reworked code for each participant.

  • Performance Comparison

    displaying developers' results relative to the global median.

  • Issue Detection

    identifying potential delays, team overload, or resource shortages.

  • Decision-Making

    optimizing workflows and task distribution based on data.

  • Overall Output Volume

    assessing the team's total productivity over a selected period.

Contributor Average Output Breakdown
Unique Contribution Trends

TARGET AUDIENCE

Software companies seeking to optimize engineering teams.

Organizations involved in mergers and acquisitions needing technical due diligence.

Companies selecting outsourcing partners.

Teams managing performance and needing benchmarking.

Businesses interested in advanced analytics and tool ROI analysis.

Companies with remote, hybrid, or office work setups.

Decision-makers making refactoring decisions.

USE CASES

Optimize Team Size

M&A Technical Due Diligence

Manage Team Performance

Internal & External Benchmarking

Advanced Analytics and Analyze Tool ROI

Remote, Hybrid, or Office Work

Refactoring Decisions

WHY US?

  • OVER 15 YEARS OF EXPERIENCE.
  • WE WORK WITH EXISTING BUSINESS  AND FUNDED  STARTUPS.
  • OUR EMPLOYEES CONTINUE TO WORK IN FORTUNE  500 COMPANIES.
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