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indranilbanerjee
indranilbanerjeeCOMMUNITY
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growth-engineering

Automate growth experimentation planning with ICE, RICE, and PIE frameworks.

726|123|Updated Feb 11, 2026
Search Tags:#metrics#activation#growth#experimentation#referral#virality#plg
One-click install
npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill growth-engineering-indranilbanerjee
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: growth-engineering
Source: https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/growth-engineering
Command: npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill growth-engineering-indranilbanerjee

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Growth engineering provides structured frameworks to plan, run, and scale experiments that optimize product-led growth, referrals, and viral loops across digital products.

Core Features & Use Cases

  • Experimentation frameworks: ICE, RICE, PIE for prioritization and scoring.
  • PLG activation & PQL: Activation metrics, onboarding optimization, and product-qualified leads scoring.
  • Referral & virality design: Loop patterns, incentives, and fraud prevention.
  • Growth modeling: Cohort analysis, growth equation templates, and dashboard-ready templates.
  • Reference materials: Access to reference guides and templates for rapid iteration.

Quick Start

Define your activation metric and run a first ICE-scored growth experiment to validate a core hypothesis.

Frequently Asked Questions about growth-engineering

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

FAQPage Schema
How do I prioritize growth experiments for a PLG product?▼

You can design referral systems and viral loops by applying structured loop patterns, incentive structures, and fraud prevention mechanisms to optimize sharing dynamics and user acquisition across digital products.

How do I score product-qualified leads and optimize activation metrics?▼

Product-qualified leads scoring evaluates user engagement against defined activation metrics to identify high-intent accounts, while onboarding optimization frameworks systematically improve the path to user value realization in SaaS products.

What is the best way to design referral systems and viral loops?▼

Designing referral systems and viral loops involves mapping loop patterns, structuring incentives, and implementing fraud prevention to sustainably amplify user acquisition across digital products.

Can I use growth modeling frameworks for cohort analysis and dashboards?▼

Reference materials and templates provide rapid iteration frameworks for growth experimentation, offering structured guides for PLG activation, PQL scoring, and viral loop design that accelerate test deployment.

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