Enterprise AI Measurement Guide
Agent Effectiveness
Cost per Outcome
What does the Cost per Outcome figure show for AI coding agent activity, and how does it relate to Outcome Success?
What it shows
Cost per Outcome calculates the dollar cost of each merged pull request produced with AI coding agent assistance, total agent spend divided by the number of sessions that resulted in a merged PR. It converts AI tool cost from an aggregate budget line into a unit economics metric: what does it actually cost, per shipped outcome, to operate AI coding agents in this engineering organization? The metric is calculable per app, per engineer, and over time.
Why it matters
Cost per Outcome is the metric that makes the AI coding tool budget conversation specific. An org paying $29.62 per merged PR from one agent and $10.97 from another, at identical adoption rates, has the data to make a tool selection decision based on cost efficiency rather than vendor preference or developer familiarity. The CFO asking "what are we getting per dollar of AI coding spend?" gets a direct, auditable answer. The CTO defending a tool portfolio in a budget review gets a metric that holds up to scrutiny.
The Larridin angle
Larridin's Agent Effectiveness tab is the only view that connects per-tool spend to per-tool outcome rates in the same table, making Cost per Outcome calculable per app, per engineer, and over time rather than only at the aggregate level. Most engineering productivity platforms show velocity; Larridin shows velocity per dollar.
Related Agent Effectiveness Metrics
Common questions
What is the Cost per Outcome metric?
Cost per Outcome measures the dollar cost of each merged pull request produced with AI coding agent assistance by dividing total agent spend by the number of sessions resulting in a merged PR.
Why is Cost per Outcome important for the C-suite?
It provides a specific, auditable metric for evaluating the cost efficiency of AI coding tools, enabling informed decisions based on cost per merged PR rather than vendor preference.
How does Larridin's Agent Effectiveness tab enhance understanding of AI tool costs?
Larridin's tab uniquely connects per-tool spend to per-tool outcome rates, allowing calculation of Cost per Outcome per app, per engineer, and over time.
What advantage does Cost per Outcome offer over traditional productivity metrics?
Unlike traditional metrics that focus on velocity, Cost per Outcome provides a clear view of productivity per dollar spent on AI coding tools.