For companies whose competitive moat is operational excellence — cloud reliability SLAs, logistics precision, financial processing accuracy — the actual moat is not the capital assets but the institutional knowledge of the engineers who built and maintain them. Return-to-office mandates that drive regretted attrition among the most experienced engineers are therefore not merely a culture issue; they are a moat erosion event. The signal appears in service reliability data before it appears in revenue or margin metrics, typically by 2-4 quarters.
The diagnostic chain: RTO mandate → above-average regretted attrition in technical roles → novel failure modes or longer incident resolution times → operational reliability degradation → eventual margin/customer impact. Tracking only the financial statements misses the first three steps of this chain entirely.
For any technology company with an operational-excellence moat — cloud platforms, logistics operators, financial infrastructure — add the following to the monitoring framework: (1) regretted attrition rate in technical roles (if disclosed or estimable from industry contacts); (2) incident resolution time trend (major outages, time-to-diagnose vs. prior year); (3) Blind management score trend among engineering roles. These non-financial signals are leading indicators of moat erosion that precede P&L impact. In a Fisher-style assessment, this updates the weighting on Point 7 (labor relations): for operationally complex moats, labor relations deserves heavier weight than for asset-light software businesses, because institutional knowledge is the competitive infrastructure. A deteriorating talent base at an infrastructure company is structurally more damaging than at a distribution-led business.