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GitHub Engineering Analytics for Strategic Decision Making

As a technology leader, you need clear visibility into your engineering organization's performance. Veritum provides comprehensive developer performance metrics and GitHub engineering analytics that help you make strategic decisions with confidence.

  • Gain organization-wide visibility into code quality and complexity trends
  • Identify high-performing teams and individuals for strategic assignments
  • Allocate resources effectively based on team capabilities and project needs
Connect with GitHubExplore Features
Executive Dashboard
Q2 2023

Engineering Performance Overview

Team Performance

8.4

+1.2 from Q1

Code Quality

8.7

+0.8 from Q1

Team Performance Comparison

Frontend Team
8.9
Backend Team
8.1
Data Engineering
8.6
DevOps Team
7.8

Key Insights

  • •Frontend team showing consistent improvement in code quality
  • •DevOps team handling increasingly complex infrastructure changes
  • •3 engineers identified as top performers across all metrics
Key Benefits

Developer Performance Metrics That
Drive Strategic Decisions

Veritum provides the GitHub engineering analytics you need to lead with confidence

Organization-Wide Visibility

Get a holistic view of engineering performance across all teams and repositories. Compare team metrics, identify trends, and spot potential issues before they impact delivery.

Strategic Resource Allocation

Identify which teams excel at different types of work and allocate resources accordingly. Match high-complexity projects with teams that have proven ability to handle sophisticated challenges.

Talent Identification

Discover rising stars and top performers across your organization regardless of seniority or team. Ensure high-impact contributors are recognized and retained.

Engineering Efficiency Insights

Track how team performance evolves over time and after organizational changes. Measure the impact of process improvements, tool adoptions, and training initiatives.

Team Composition Optimization

Use data to inform team structure decisions. Identify complementary skill sets and ensure teams have the right balance of strengths needed for their objectives.

Code Quality Governance

Establish organization-wide quality standards and track adherence. Identify repositories or teams that may need additional support to maintain code quality.

GitHub Engineering Analytics

Executive Dashboard for
Technology Leaders

Get the insights you need to make informed strategic decisions about your engineering organization

Engineering Productivity

8.4/10

+0.7 from previous quarter

Overall productivity score based on code quality, complexity handling, and contribution impact.

Code Quality Trends

7.9/10

+0.5 from previous quarter

Average code quality score across all repositories, weighted by activity and impact.

Technical Debt Assessment

Medium

Improving trend

Current technical debt level across the organization based on code complexity and quality metrics.

Top Performing Teams

FT

Frontend Team

8.9/10 overall score

+1.2
DE

Data Engineering

8.6/10 overall score

+0.8
BT

Backend Team

8.1/10 overall score

+0.5

Strategic Recommendations

1

Technical Investment Needed

Authentication service showing signs of high complexity. Consider refactoring in Q3.

2

Team Optimization

Consider shifting 1-2 frontend engineers to support the DevOps team with their increasing workload.

3

Recognition Opportunity

Sarah Chen and Michael Smith have consistently performed at the highest level and should be recognized.

Case Study

From Intuition to Data-Driven Leadership

When TechCorp's CTO first implemented Veritum, they discovered that their fastest-growing product had the highest technical debt score. This insight led them to pause new feature development for one quarter to focus on refactoring.

The result: development velocity increased by 38% in subsequent quarters, and engineer satisfaction scores rose significantly. What seemed like a short-term sacrifice led to substantial long-term gains in productivity and quality.

“Veritum gave me the data I needed to make a tough call that my intuition was suggesting but I couldn't justify. That decision ended up being one of the best we've made for our engineering organization.”

- James Wilson, CTO at TechCorp

Impact of Technical Debt Reduction

Development Velocity

Before
Before
After
After

Technical Debt Score

Before
High (7.8/10)
After
Low (3.2/10)

Team Satisfaction

Before
6.5/10
After
8.7/10

Ready for data-driven
engineering leadership?

Get the GitHub engineering analytics and developer performance metrics you need to lead with confidence.

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AI-powered engineering analytics that go beyond traditional metrics.

On This Page

  • Key Benefits
  • Executive Dashboard
  • Case Study

Use Cases

  • For Engineering Managers
  • For CTOs
  • For Developers

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