# Mastery Monetization Lab — Qualification Assessment — HC v1.3.3
> Source: https://ideas.asapai.net/mastery-lab-assessment
> Type: assessment-gate | ID: mastery-lab-assessment

---
## hc-metadata
{
  "hc_version": "1.3.3",
  "hc_type": "assessment-gate",
  "artifact_id": "mastery-lab-assessment",
  "title": "Mastery Monetization Lab — Qualification Assessment",
  "description": "9-question qualification gate for the Mastery Monetization Lab. Screens for expertise, AI fluency, revenue ambition, time commitment, frustration fit, tech independence, action pattern, network access, and execution mindset. Qualified prospects (18+ of 27) see pricing; others are routed to the free 3-input agentic playbook where they generate their own AI-powered Market Intelligence Report.",
  "tags": [
    "assessment",
    "qualification",
    "mastery-lab"
  ],
  "created_at": "2026-02-25",
  "updated_at": "2026-02-26",
  "author": "NowPage / Jason MacDonald",
  "domain": "ideas.asapai.net",
  "status": "active"
}

---
## hc-instructions
This is a qualification assessment page for the Mastery Monetization Lab.
    It presents 9 questions one at a time, scores the user (max 27 points),
    and routes them to either a Qualified screen (18+ pts) or a Not Yet
    screen. Qualified users see the sales offer (Apply for Beta Cohort).
    Not-yet-qualified users are directed to the free 3-input agentic playbook
    (ai-client-playbook) where they input their niche, ICP, and voice note
    to receive a personalized AI-powered Market Intelligence Report (8 cards:
    ICP snapshot, pain map, offer angle, objection reframe, outreach hook,
    platform pick, first step, and quick win). All scoring logic is client-side JS.
    Answers and score are persisted to localStorage for future form capture.
    Version 2.1 — updated fallback path from 5-day email course to the
    free agentic playbook (Market Intelligence Report, 2-path flow).

---
## hc-context-public
{
    "assessment": {
      "name": "Mastery Monetization Lab Qualification Gate",
      "version": "2.0",
      "questions": 9,
      "max_score": 27,
      "qualified_threshold": 18,
      "dimensions": [
        "expertise", "ai_fluency", "revenue_goal", "time_commitment",
        "frustration_fit", "tech_independence", "action_pattern",
        "network_access", "execution_mindset"
      ],
      "qualified_cta": "Apply for Beta Cohort",
      "fallback_cta": "Get Your Free Market Intelligence Report",
      "fallback_path": "3-input agentic playbook",
      "fallback_url": "https://ideas.asapai.net/ai-client-playbook",
      "playbook_inputs": ["niche", "icp_description", "voice_note"],
      "playbook_report_cards": 8
    }
  }