Tracks/Track 9 — Engineering Leadership/9-8
Track 9 — Engineering Leadership

9-8: Performance Management Economics

Deploying OKRs properly without crushing velocity, and modeling the cost of PIPs.

1 Lessons~45 min

🎯 What You'll Learn

  • Align OKRs to Top-Line metrics
  • Calculate the friction of performance reviews
  • Administer technical PIPs
Free Preview — Lesson 1
1

The OKR Velocity Trap

Objectives and Key Results (OKRs) deployed poorly will paralyze an engineering team. If an org demands 10 OKRs per engineer, the team will spend 40% of their sprint just updating Jira and tracking spreadsheets to appease management.

The purpose of an OKR is radical prioritization, not comprehensive task-tracking. Each team should have a maximum of 3 Key Results tied directly to a single top-level Engineering Objective (e.g., "Reduce API Latency by 50%").

If everything is an OKR, nothing is an OKR. Focus creates velocity; tracking creates drag.

📝 Exercise

Execute an OKR purge for the upcoming quarter.

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Inference Architecture
01import { orchestrator } from '@exogram/core';
02
03const router = new AgentRouter({);
04strategy: 'COST_EFFICIENT_SLM',
05fallback: 'FRONTIER_MODEL'
06});
07
08await router.guardrail(payload);
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Module Syllabus

Lesson 1: The OKR Velocity Trap

Objectives and Key Results (OKRs) deployed poorly will paralyze an engineering team. If an org demands 10 OKRs per engineer, the team will spend 40% of their sprint just updating Jira and tracking spreadsheets to appease management.The purpose of an OKR is radical prioritization, not comprehensive task-tracking. Each team should have a maximum of 3 Key Results tied directly to a single top-level Engineering Objective (e.g., "Reduce API Latency by 50%").If everything is an OKR, nothing is an OKR. Focus creates velocity; tracking creates drag.

15 MIN
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