kpi-frameworks

Define a KPI hierarchy linking north star metrics to feature-level indicators.

4|Updated Mar 3, 2026

Search Tags:#metrics #north-star #kpi #leading-indicators #okrs #measurement-plan #lagging-indicators

Ready to run

npx skills add https://github.com/AI-Foundry-Core/ril-agents --skill kpi-frameworks

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: kpi-frameworks
Source: https://github.com/AI-Foundry-Core/ril-agents/tree/main/plugins/product-evaluation/skills/kpi-frameworks
Command: npx skills add https://github.com/AI-Foundry-Core/ril-agents --skill kpi-frameworks

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Metrics that don't connect to business outcomes are decoration. This skill covers how to build a coherent metric hierarchy — from north star down to feature-level indicators — so that every measurement tells you something actionable.

Core Features & Use Cases

Build a KPI hierarchy (north star, leading indicators, lagging metrics)
Create OKR trees for planning and evaluation
Distinguish leading vs lagging indicators and establish guardrails for product evaluation

Quick Start

Define a KPI hierarchy for a new product, including a north star metric, two leading indicators, three lagging metrics, and an OKR structure.

Frequently Asked Questions about kpi-frameworks

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I build a KPI hierarchy that connects a north star metric to feature-level indicators?▼

Build a KPI hierarchy by defining a north star metric and linking it to actionable leading and lagging indicators. This establishes a coherent measurement plan where every metric informs product planning and decision making.

What is the difference between leading and lagging indicators in a product measurement plan?▼

Leading indicators are predictive metrics that influence future outcomes, while lagging indicators measure past performance. Differentiating them in a KPI hierarchy establishes guardrails for evaluating product success and taking timely action.

How do I create an OKR tree for product planning and evaluation?▼

Create an OKR tree by structuring objectives and key results beneath your north star metric. This framework aligns feature-level indicators with broader business outcomes, ensuring coherent performance measurement and goal tracking.

Can I apply this KPI framework to diverse product domains outside my current industry?▼

Yes, the KPI framework is applicable to product planning and performance measurement across diverse domains. It specifies metric relationships and guardrails that guide meaningful decision making regardless of the specific industry context.

Why do my current metrics fail to connect to business outcomes?▼

Metrics fail to connect when they lack a coherent hierarchy linking the north star to feature-level indicators. Establishing relationships between leading and lagging metrics ensures measurements are actionable rather than decorative.

What's the best way to establish guardrails for meaningful product decision making?▼

Establish guardrails by building a metric hierarchy that differentiates leading and lagging indicators. This approach ensures your measurement plan directly supports product evaluation and prevents metrics from becoming disconnected decoration.