Insights on bus factor analysis, M&A technical due diligence, key person dependency, contributor lifecycle tracking, and organizational health metrics.
The eight problems PE firms most often uncover in software due diligence: key person risk, IP gaps, security debt, infrastructure decay, and engineeri...
Compare engineering performance analytics platforms in 2026. Categories, features, and which platform fits PE/VC due diligence versus engineering lead...
A 47-item software due diligence checklist covering code quality, IP, security, infrastructure, and engineering team risk. Free template for buyers an...
Engineers often resist sharing knowledge because they fear becoming replaceable. Learn why reducing bus factor through knowledge sharing actually stre...
Critical knowledge concentration is rarely obvious until it bites. Ten bus factor signals that warn you of key person dependency before the crisis.
Hero culture in software engineering rewards individual firefighting over team resilience. Learn how to identify hero culture, why it creates dangerou...
Software due diligence evaluates the technical health, security, legal compliance, and team risk of a software company before an acquisition. Learn wh...
Due diligence engineers audit code, interview engineering teams, and quantify acquisition risk. The role, the skills, and how it differs from a CTO au...
ContributorIQ uses a read-only GitHub App with short-lived tokens, encrypted storage, and minimal permissions. Learn how we analyze your repositories...
ContributorIQ's new AI Advisor feature generates role-specific reports for engineering managers, executives, and M&A buyers. Each report analyzes your...
ContributorIQ's time-based filtering lets you analyze contributor activity across six different time windows. Compare quarterly performance, track rec...
Beyond code audits: a step-by-step technical due diligence checklist for PE and VC firms acquiring software companies. Team risk, bus factor, IP, inte...
Bus factor is the number of engineers whose departure would stall a project. Definition, what a bus factor of 1 means, and how to calculate it with DO...
When one engineer holds critical knowledge, the company is one resignation from disaster. How to spot key person dependency and reduce it before it bi...
DOA measures true code ownership beyond commit counts. The Fritz et al. model, how DOA is calculated, and how to use it to find subject matter experts...
Velocity is not health. Twelve engineering organization health metrics covering bus factor, knowledge distribution, lifecycle, and burnout signals.
Learn to identify which engineers are ramping up, at peak performance, or showing signs of disengagement. Use lifecycle stages for retention conversat...
Code audits miss the real risk: the team that wrote the code. A PE playbook for assessing engineering team health before you sign the term sheet.
Stop losing critical knowledge when engineers leave. Eight practices to transfer expertise, raise bus factor, and cut onboarding time in half.
The Gini coefficient quantifies how evenly commits are distributed across your team. How to calculate Gini for code, interpret the score, and act on i...
When a key engineer gives notice, every day matters. A 14-day departure checklist for capturing knowledge, transitioning ownership, and limiting damag...
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