The Tragedy of Local Optimization: Why Every Team Hitting Its Own Goals Can Still Sink the Company
When each team optimizes its own KPI, the global system degrades. HR is both the cause (siloed function metrics) and the cure (cross-functional incentive…
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- Local optimization: each subsystem hits its target while the global system worsens.
- Classic HR cases: recruiting hits 'time-to-fill' while quality crashes; L&D hits course completion while skills don't transfer.
- Root cause: KPIs are local, but value is global. The map is wrong.
- Fix: throughput accounting (Goldratt), cross-team OKRs, and explicit constraint identification.
- For tech: it's the microservices anti-pattern of local SLOs without global ones.
A talent team smashed its time-to-fill target — down from 52 days to 31. The hiring-manager NPS for new hires dropped 18 points the same quarter. 12-month retention of those hires fell 22%. Recruiting's metric was green. The company was bleeding. That is the tragedy of local optimization, named in HR.
Why locals beat the global
“Tell me how you measure me and I will tell you how I will behave. If you measure me in an illogical way, do not complain about illogical behavior.”
Systems theory shows that optimizing subsystems independently does not maximize the whole — it usually degrades it. In queuing systems, maximizing utilization of one resource collapses throughput elsewhere. In HR, optimizing recruiting's funnel collapses onboarding's quality. Each owner is rational. The aggregate is irrational.
HR's four favorite local optimizations
| Local metric | Local owner | Global degradation |
|---|---|---|
| Time-to-fill | Recruiting | Hire quality, 12-mo retention |
| Course completion % | L&D | Skill transfer to job, manager satisfaction |
| eNPS / engagement score | People Ops | Honest signal — gaming the survey |
| Cost per hire | HR Finance | Senior leadership churn, opportunity cost |
| Internal mobility % | Talent Mgmt | Retention in originating team |
Throughput-style HR metrics
- Pair every local KPI with its global pair: time-to-fill ALWAYS reported with 12-month retention and hiring-manager NPS.
- Identify the constraint (Goldratt): in any quarter, only one HR sub-function is the binding constraint. Resource it; let the others run at non-100% utilization.
- Cross-functional OKRs: at least 30% of HR sub-function OKRs should depend on another function's success.
- Kill 'vanity completion' metrics. Replace with downstream impact metrics (Did the manager do the new behavior 30 days later?).
- Build a 'global dashboard' that shows the value-chain end-to-end (attract → hire → ramp → perform → retain). Local dashboards must roll up here.
Microservices SLO analogy
Every microservice can be hitting its SLO while the end-to-end user request fails. That's why mature platform teams add user-journey SLOs on top of service SLOs. HR functions are microservices — recruiting, L&D, comp, ER. If every function hits its SLO but the employee journey is broken, you have the people-systems version of a 500-error. The fix is the same: end-to-end SLOs that span functions, with shared on-call accountability.
Stop reporting HR scorecards by sub-function. Report by employee journey stage. The handoffs are where value leaks.
Takeaways
- Local optimization is the default. Global optimization requires intentional measurement redesign.
- Pair every local KPI with a global one. Never report one without the other.
- Find the binding constraint each quarter. Resource that, not everything.
- Goldratt — The Goal (1984) — North River Press
- Goldratt — The Haystack Syndrome — North River Press
- Spear & Bowen — Decoding the DNA of Toyota — HBR
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