Documentation Quality assesses the completeness, accuracy, and freshness of internal technical documentation including architecture guides, API references, runbooks, and onboarding materials. Poor documentation forces developers to rely on tribal knowledge, increases onboarding time, and amplifies the impact of attrition. Good documentation is a force multiplier that enables autonomous decision-making and reduces cross-team dependencies.
Clarity and freshness of docs. Elite teams are 2.4x more likely to have high-quality docs.
IMPROVED: All code searchable in one place. Code search tools provide de facto documentation. Cross-team discoverability is dramatically better. But explicit docs for project boundaries and ownership become critical.
SIGNIFICANTLY IMPROVED by necessity: distributed teams are forced to invest in documentation because you can't rely on hallway conversations. PR descriptions, ADRs, runbooks, and code comments become essential infrastructure. Often results in better docs than co-located teams with tribal knowledge.
Osmotic knowledge transfer fails at scale. Tribal knowledge is lost with turnover. DORA finds good docs correlate with 2x reliability improvement.
Good docs: days → hours.
Self-service answers reduce interruptions.
Offloads info from memory to system.
Autonomy finding answers independently.
Good docs eliminate blocking questions. Self-service answers = uninterrupted PR work.
Good docs enable self-serve context — devs don't wait for a colleague to wake up to understand a system.
Better docs = better AI suggestions. AI learns from existing patterns.
Departing devs take tribal knowledge.
Teams investing in async quality naturally produce better documentation as a byproduct.