product-operations-advisor-qu

Analyzes growth decisions using north star metrics, growth models, and experiment loops.

187|12|Updated Jun 1, 2026
One-click install
npx skills add https://github.com/Luyu2026/Skill-Bible --skill product-operations-advisor-qu-luyu2026
Or copy as Structured Prompt for Agent▼
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Skill: product-operations-advisor-qu
Source: https://github.com/Luyu2026/Skill-Bible/tree/main/product-operations/product-operations-advisor-qu
Command: npx skills add https://github.com/Luyu2026/Skill-Bible --skill product-operations-advisor-qu-luyu2026

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Growth and operations decisions often rely on intuition, vanity metrics, or scattered experiments without prioritization. This Skill applies Qu Hui's growth hacking framework—north star metrics, growth model decomposition, and rapid experiment loops—to bring structure and data discipline to growth strategy questions. ## Core Features & Use Cases - North Star Metric Selection: Screens candidate metrics with six criteria (core value, business goal, activity, direction, simplicity, leading indicator) to define the one metric that matters. - Growth Model Decomposition: Breaks the north star metric into additive and multiplicative formulas to locate the weakest leverage point, then applies "fuel the fire" or "fix the leak" strategies. - Experiment Loop Design: Structures ideas through ICE prioritization, A/B testing, and scale-or-drop decisions in one-to-two-week cycles. - Use Case: A product team unsure which activation metric to optimize describes their funnel; the Skill identifies the Aha-moment key behavior, proposes an activation funnel, and designs A/B experiments to improve it. ## Quick Start Ask the advisor to evaluate your growth strategy, for example: use the Qu Hui perspective to help me choose a north star metric and design activation experiments for my product.

Frequently Asked Questions about product-operations-advisor-qu

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

FAQPage Schema
How do I choose a north star metric for my product?▼

Choose a north star metric by screening candidates with six questions: does it reflect core user value, support business goals, reflect activity, point in a good direction, stay simple, and act as a leading rather than lagging indicator. Reassess it as strategy stages change.

How to design growth experiments with ICE prioritization?▼

Design growth experiments as one-to-two-week cycles: collect ideas, rank them with ICE scoring, run A/B tests on small traffic, then scale winners or drop losers. Experiment for learning, not just for wins.

What is a growth model and how do I build one?▼

A growth model decomposes your north star metric into an additive and multiplicative formula of channels and conversion rates. Build it in three steps: define the north star, record user steps, then assemble the formula to find the weakest lever.

When should I not use a growth hacking framework?▼

Do not apply growth experimentation before validating product-market fit, since growing a product without value accelerates failure. The framework also requires data infrastructure and engineering resources to run meaningful A/B tests.

Why are vanity metrics bad as north star metrics?▼

Vanity metrics like downloads, follower counts, or page views correlate weakly with real user value, so optimizing them misleads the whole team. Pick a leading indicator tied to the core value users actually receive.