Map your engineering
knowledge risk

A lightweight view of knowledge distribution across your systems. Surface single-person dependencies, low-confidence areas, and drift between documented intent and current reality.

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Knowledge risk snapshot

Legacy Billing

Hotspot
People 1
Knowledge 1 strong
Confidence Low
Context ~12 months

Payments Router

Healthy
People 4
Knowledge 4 strong
Confidence High
Context ~30 days

SAML Integration

Watch
People 2
Knowledge 2 moderate
Confidence Med
Context ~6 months

Core API

Healthy
People 3
Knowledge 3 strong
Confidence High
Context ~45 days
Signals from people, not production

See knowledge risk at a glance

Faultline captures high-level signals about your systems: people coverage, knowledge depth, confidence, and context recency to reveal patterns that documentation misses.

01 // CONCENTRATION

Knowledge Distribution

Visualize single-person dependencies and concentrated expertise. Identify "bus factor" risks across your critical path.

02 // CONFIDENCE

Uncertainty Mapping

Overlay reported team confidence against system complexity. Reveal the "scary corners" where mental models are fuzzy.

03 // DRIFT

Understanding Drift

See how old shared context is. Highlight areas where the team's mental model may no longer match how the system behaves today.

Situational Awareness

"Faultline surfaces where understanding is thin, concentrated, or aging across your systems."