What is the primary focus of the okr-design skill?

It focuses on structuring goals, defining quantitative metrics (KPIs), and designing experiment frameworks to ensure development work drives measurable business value.

How does it differentiate between leading and lagging indicators?

It provides frameworks to identify leading indicators (actionable, immediate) that influence lagging indicators (strategic, long-term) like revenue or churn.

Can this skill help with A/B testing?

Yes, it includes detailed templates for experiment design, hypothesis documentation, and the definition of guardrail metrics to monitor during rollouts.

Does it provide guidance on metric instrumentation?

Yes, it includes formal definitions, naming conventions, and event tracking schemas to ensure metrics are correctly implemented in your analytics stack.

OKR Design & Metrics Framework

Name: OKR Design & Metrics Framework
Author: yonatangross

byyonatangross

•

140

•

Analytics & Monitoring

Designs outcome-focused OKRs, builds KPI trees, and establishes rigorous experiment guardrails for product growth.

The okr-design skill provides a structured methodology for defining organizational success through quantitative metrics and qualitative goals. It enables teams to decompose high-level objectives into actionable leading and lagging indicators, select appropriate North Star metrics for various business models, and design statistically sound experiments with predefined guardrail metrics. By automating the creation of measurement frameworks and instrumentation plans, it ensures that technical work remains aligned with business outcomes and strategic priorities.

Key Features

01Metric instrumentation templates with formal event definitions

02140 GitHub stars

03OKR hierarchy structuring with built-in quality check validation

04Comprehensive experiment design with guardrail and kill criteria

05North Star metric selection tailored to specific business models

06KPI tree decomposition for revenue and product health mapping

Use Cases

01Building a measurement framework that distinguishes between actionable leading inputs and lagging outcomes.

02Designing A/B tests with strict guardrails to prevent unintended negative impacts on core business metrics.

03Setting quarterly team goals and defining success metrics for a new product launch.

Key Features

01Metric instrumentation templates with formal event definitions

02140 GitHub stars

03OKR hierarchy structuring with built-in quality check validation

04Comprehensive experiment design with guardrail and kill criteria

05North Star metric selection tailored to specific business models

06KPI tree decomposition for revenue and product health mapping

Use Cases

01Building a measurement framework that distinguishes between actionable leading inputs and lagging outcomes.

02Designing A/B tests with strict guardrails to prevent unintended negative impacts on core business metrics.

03Setting quarterly team goals and defining success metrics for a new product launch.