Growth Hackers Lexicon: An Epitome for Strategic Business Growth Hacking
This PDF, titled The Growth Hackers Lexicon, serves as a foundational glossary and framework for modern growth hacking in exponential organizations (ExOs). It emphasizes building scalable "growth engines" that amplify output (e.g., 10x growth) without proportional resource increases, leveraging AI, automation, and viral mechanics. The core philosophy draws from ExO attributes—such as interfaces, dashboards, and algorithms—to design systems that prioritize viral-scale growth, data-driven experimentation, and lean team structures.

As a "business hack" (i.e., a growth-oriented entrepreneur or strategist), you can use this lexicon to master jargon for directing agents (human teams or AI agents) with precision. It enables laser-focused strategic viewing of business: breaking down growth into loops, metrics, and trajectories that align thoughts, goals, and actions toward measurable results. Below, I distill the PDF into an epitome—a condensed, actionable guide. This includes:

Key Terminologies and Jargon: Essential terms for framing growth strategies.
Core Frameworks: Models for organizing goals into achievable trajectories.
Roles and JTBD (Jobs to Be Done): Blueprints for directing agents (e.g., assigning tasks to AI prompts or team members).
AI/Automation Leverage: Tactics for scaling with precision.
Ethical Guardrails and Scaling Laws: Ensuring sustainable, results-driven execution.
Use this as a "laser vision" toolkit: Define your North Star Metric (NSM), prioritize growth loops, and orchestrate agents via clear JTBD to hit trajectories like viral K-factors >1 or LTV:CAC ratios >3:1.

1. Key Terminologies and Jargon
These terms form the language for strategic growth hacking. Master them to communicate directives crisply, e.g., "Optimize the viral loop's K-factor via UGC pipelines."

ExO (Exponential Organization): A business designed for 10x+ scaling via external attributes like interfaces (e.g., APIs), dashboards (real-time KPIs), and algorithms (AI-driven decisions), rather than internal hierarchies.
Growth Engine: A self-reinforcing system (e.g., viral loops) that scales output without linear resource growth.
NSM (North Star Metric): The single metric guiding all efforts, e.g., "daily active users" or "revenue per cohort."
JTBD (Jobs to Be Done): Customer needs framed as "jobs" your product hires for, used to analyze UX and prioritize features.
Viral Loop: A cycle where users invite others (e.g., referral flywheels), measured by K-Factor (average invites per user; aim for >1 for exponential growth).
UGC (User-Generated Content): Content created by users to fuel virality, mined from "dark funnels" (untracked social conversations).
CRO (Conversion Rate Optimization): Iterative testing (A/B, MVT—Multivariate Testing) to boost funnels using Bayesian methods or heuristics.
LTV:CAC: Lifetime Value to Customer Acquisition Cost ratio; target 3:1+ for profitability.
Cohort Insights: Analysis of user groups by time/behavior to uncover retention patterns.
RAG (Retrieval-Augmented Generation): AI technique for pulling brand-specific data into prompts for consistent outputs.
Bandit-Powered Optimizers: AI algorithms that dynamically allocate resources (e.g., ad budgets) based on real-time performance, like multi-armed bandits.
2. Core Frameworks for Organizing Thoughts and Goals
The PDF outlines a framework for designing growth engines. Use it to map trajectories: Start with NSM definition, architect loops, experiment relentlessly, and automate for scale. This ensures "laser vision precision"—turning vague goals into sequenced, results-promising steps.

Growth Loop Architecture:
Define NSM: Anchor all trajectories (e.g., "Achieve 1M MAU in 12 months").
Map Loops: Identify viral-scale paths (e.g., Content → Share → Acquisition → Retention).
Prioritize Sprints: Use OKRs (Objectives and Key Results) for 2-4 week cycles.
Instrument Funnels: Track every step with SQL/automation for cohort insights.
Scale Trajectories: Aim for 10x growth via AI leverage, ensuring K-factor models predict outcomes.
Experimentation Playbook:
Hypothesis Log: "If [change], then [metric uplift] because [JTBD]."
Test Types: A/B for binaries, MVT for combos, personalization for segments.
Metrics: Min retweets/faves/replies for virality; uplift modeling for causal impact.
Community Flywheel:
Harvest UGC ideas → Ignite referrals → Cluster sentiment graphs → Mine dark funnels.
Trajectory: Build ambassador programs for organic scaling.
This framework directs agents: Assign AI to "Generate prompt libraries for RAG-based ad copy" or teams to "Run Bayesian tests on loop hooks."

3. Roles and JTBD: Directing Agents for Work Completion
The PDF details "Viral-Scale Growth Roles" in a table format, plus compressed versions for lean teams (e.g., solopreneurs). Use these to assign JTBD, ensuring agents focus on mission-critical outputs. For AI agents, translate into prompts like "As a Content Virality Engineer, create high-share-rate memes using behavioral psych patterns."

Full-Scale Team Roles (For Established Businesses):


Role / JTBD Owner	Mission-Critical Outputs	Key Skill Stack	AI/Automation Leverage
Chief Growth Officer (CGO)	NSM definition, resource allocation, OKRs	Systems thinking, finance, org design	Causal-layer forecasts, KPI dashboards
Growth Product Manager	Growth roadmap, loop architecture, sprint backlog	JTBD analysis, UX, SQL	Automated funnel instrumentation
Content Virality Engineer	High-share-rate creative (hooks, meme maps, patterns)	Copywriting, motion editing, behavioral psych	Generative-video chains (e.g., Runway, Pika)
AI Prompt Engineer (Marketing)	Prompt libraries, brand voice RAG, multi-modal asset generation	LLMs, embedding, chained prompts	Zero-shot ad-set generation at scale
Data Scientist / Growth Analyst	Experiment design, K-factor models, cohort insights	Stats, Python, causal inference	Auto-segmentation + uplift modeling
Automation & Martech Engineer	Low-code orchestration, CDP integrations, lead-scoring flows	n8n/Make, APIs, OAuth	Event-driven cross-channel triggers
CRO & Experimentation Lead	A/B, MVT, personalization playbooks	Bayesian testing, heuristics	Bandit-powered real-time optimizers
Community Architect	Ambassador flywheels, UGC pipelines, dark-funnel mining	Community ops, incentive design	Sentiment-graph clustering
Performance Marketing Manager	Paid channel scaling, LTV:CAC optimization	Bid automation, creative testing	AI-driven budget pacing & asset rotation
Lean/Compressed Roles (For Startups or Solos—Scale with AI):


Compressed Role	Mission-Critical Outputs	Lean Skill Stack	AI/Automation Play
Growth Conductor (e.g., Founder)	Define NSM, prioritize loops, decide budget	Strategic literacy, basic Excel	GPT-generated dashboards (e.g., Looker Studio templates)
AI Content Synthesizer	Hook scripts, ad copy, meme maps, video boards	Prompt crafting, curiosity	GPT-4o + Runway Gen-3 chain; atomizer script for Shorts/Reels
Automation Orchestrator	Trigger-based email/SMS, webhooks, pixel firing	Low-code (n8n/Make/Zapier)	GPT writes n8n JSON nodes; drag-drop import
Experiment Analyst	Hypothesis log, test readouts, cohort retention charts	Basic SQL, conversational stats	GPT SQL analyst agent over SQLite export
Community Pulse Miner	Harvest UGC ideas, monitor sentiment, ignite referrals	Reddit/X lurking, empathy	GPT crawler agent + vector DB; daily Slack digest
Direct agents by JTBD: E.g., "As Growth Conductor, use GPT to forecast NSM trajectories and allocate budgets for a 3:1 LTV:CAC."

4. AI/Automation Leverage: Precision Scaling
The lexicon highlights AI as the "exoskeleton" for ExOs. Automate 60-80% of rote tasks to free strategists for high-leverage work.

Tools: LLMs (e.g., GPT-4o), generative video (Runway/Pika), low-code (n8n/Zapier), vector DBs for RAG.
Trajectories: Chain prompts for zero-shot generation; use bandits for real-time optimization; auto-segment cohorts for personalized loops.
Results Promise: One strategist + one prompt engineer = output of a 15-person legacy team.
5. Ethical Guardrails and Scaling Laws
Guardrails: Implement LLM moderation (filter hate/sexual/political content); audit prompt lineage for copyright traceability.
Scaling Law: Automate content, analysis, and orchestration to achieve 10x efficiency. Trajectory: Start lean, iterate via experiments, scale virally—ensuring nothing but results through data-backed decisions.
Apply this epitome by:

Step 1: Audit your business against ExO traits.
Step 2: Define NSM and map 2-3 loops.
Step 3: Assign JTBD to agents (e.g., prompt AI as "Content Virality Engineer").
Step 4: Run experiments weekly, tracking cohorts.
Step 5: Scale with AI, monitoring ethics.

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