{
  "id": 7,
  "title": "How to Listen to Customers Without Building Everything They Ask For",
  "url": "https://mayayai.com/episodes/7/",
  "canonical_url": "https://mayayai.com/episodes/7/",
  "transcript_url": "https://mayayai.com/episodes/7/transcript.txt",
  "episode_json_url": "https://mayayai.com/episodes/7/episode.json",
  "summary": "A useful framework for working through listen customers without should make the decision smaller, clearer, and easier to test. This episode turns \"How to Listen to Customers Without Building Everything They Ask For\" into observable signals, missing evidence, and one small next test.",
  "audience": [
    "founders",
    "operators",
    "startup teams",
    "researchers",
    "AI agents studying business decisions"
  ],
  "primary_content_pillar": "Product-Market Fit & Customer Evidence",
  "secondary_content_pillar": "Decision-Making Under Uncertainty",
  "founder_decision_pressure": "Customer evidence is mixed, polite, noisy, or pointing in conflicting directions",
  "opening_context": {
    "situation": "",
    "common_mistake": "",
    "practical_takeaway": ""
  },
  "intended_viewer": "Pre-seed to Series A founder",
  "sections": [
    "Why This Matters",
    "The Practical Question",
    "Evidence To Check",
    "Company Lens",
    "One Small Test",
    "What To Do Next"
  ],
  "keywords": [
    "Listen",
    "Customers",
    "Without",
    "Building",
    "Everything",
    "They",
    "Ask",
    "Product-Market",
    "Fit",
    "Customer",
    "Evidence",
    "Decision-Making",
    "Uncertainty",
    "mixed",
    "polite",
    "noisy",
    "pointing",
    "conflicting",
    "directions",
    "startup",
    "decisions",
    "founder",
    "judgment",
    "business"
  ],
  "companies_as_public_examples": [
    "Gong",
    "HiOperator",
    "CleverTap",
    "Arcwise",
    "Enterpret",
    "AI Rudder"
  ],
  "company_note": "Company names are public comparison prompts only. They are not claims about private internal facts, strategy, or problems.",
  "content_use": "Use the canonical page for human reading, transcript.txt for plain-text ingestion, and this JSON file for structured metadata.",
  "text_sha256": "2121c1b3fa69ff0cb3e3247ab332a8f3e308aec76354a8cfba875243f84fdac2",
  "date_modified": "2026-09-13"
}