Design an experiment to measure whether GitHub improved outcomes for IT leaders

Problem Statement Description

Product context: Microsoft is a productivity, software, AI, gaming, and cloud company; its products include Windows, Microsoft 365, Teams, LinkedIn, Xbox, Azure, Dynamics, and Copilot.

Microsoft wants to understand whether GitHub is materially improving outcomes for IT leaders in enterprise organizations. In this context, “IT leaders” may include CIOs, CTOs, VP Engineering, heads of platform engineering, security leaders, and IT administrators responsible for developer productivity, governance, compliance, tooling consolidation, and operational risk.

Your task is to design an experiment that can credibly measure whether GitHub creates measurable value for this audience. The focus is not just whether developers use GitHub more, but whether IT leaders see improved organizational outcomes such as better delivery visibility, stronger security posture, lower operational burden, improved collaboration, or more effective governance.

Assume this is a hard metrics problem in an enterprise SaaS environment, where sales cycles are long, accounts vary widely in maturity, and many outcomes are influenced by implementation quality, existing toolchains, team size, industry regulations, and executive sponsorship. The experiment should be realistic for GitHub within Microsoft’s broader enterprise trust, productivity, developer ecosystem, and compliance context.

The experience should consider:

- What “improved outcomes for IT leaders” means and how those outcomes should be translated into measurable primary, secondary, and guardrail metrics.

- The correct denominator and unit of analysis, such as enterprise account, organization, team, admin, developer seat, repository, or workflow.

- How to define treatment and control groups in an enterprise setting without creating unfair customer experiences or contaminating results across teams.

- What instrumentation, product telemetry, admin actions, survey signals, support data, security events, and business outcomes would be needed.

- How to segment cohorts by company size, GitHub maturity, industry, cloud environment, compliance needs, and current developer tooling.

- How to handle attribution challenges, seasonality, onboarding effects, sales-assisted rollouts, and concurrent Microsoft or GitHub initiatives.

- Which guardrails would prevent over-optimizing for engagement while harming developer experience, security, trust, cost, or customer satisfaction.

- How the experiment results would support a product, GTM, or investment decision for GitHub’s enterprise roadmap.

The goal is to frame a rigorous measurement approach that an executive team could trust when deciding whether GitHub is delivering meaningful value to IT leaders, where the evidence is actionable, statistically and operationally credible, and sensitive to the realities of enterprise software adoption.