Implementation drag avoided
Estimate hours saved across onboarding, integrations, data cleanup, customer training, and support escalations.
Metric: days to first valueThe spreadsheet version of “should we hire an FDE?”
Forward deployed engineering pays back when it shortens the path from operational pain to reusable product leverage. Use this as a board-safe model before hiring or funding the lane.
Revenue protected
Quantify churn, delayed expansion, stalled go-lives, and enterprise deals blocked by workflow gaps.
Metric: ARR at risk unblockedProduct learning compounded
Track field fixes promoted into platform features, integration primitives, templates, and reusable AI workflows.
Metric: productised field fixesOperational throughput improved
Measure queue ageing, rework, exception handling time, manual touch count, and SLA breaches before and after.
Metric: cost per resolved workflowSimple test: if one FDE can remove more recurring implementation/support/product-discovery cost than their loaded cost, and the learning becomes reusable, the lane is not services drag. It is product R&D with customers attached.