Update to User Intuition

{
  "description": "Use when the user wants to interview recent buyers or new customers about why they bought, what nearly stopped the order, or how the first product landed, from an order or customer list the user shares from their store (such as Shopify), loyalty-card, or retailer data.",
  "included_files": [
    {
      "relative_path": "references/approval-continuity.md",
      "size_in_bytes": 2304
    },
    {
      "relative_path": "references/cohort-invite-policy.md",
      "size_in_bytes": 2706
    }
  ],
  "name": "interview-recent-buyers",
  "skill_md_contents": "---\nname: interview-recent-buyers\ndescription: Use when the user wants to interview recent buyers or new customers about why they bought, what nearly stopped the order, or how the first product landed, from an order or customer list the user shares from their store (such as Shopify), loyalty-card, or retailer data.\nallowed-tools: Read\n---\n\nWhen the user wants to hear from recent buyers:\n\nApply the shared [cohort invite policy](references/cohort-invite-policy.md) and [approval and workflow continuity policy](references/approval-continuity.md).\n\n1. Ask what decision the interviews should inform (for example: which claim to lead with on the pack, why first orders skew to one product, what nearly stopped checkout) and which buyers matter: first-time or repeat, a product or collection, a channel.\n2. Find orders in the chosen window from an order export the user shares from their store (such as Shopify), or a loyalty-card, retailer, or retail-media audience export. If the user has no customer data, use `interview-category-shoppers` to recruit buyers from the consumer panel instead. Keep one row per customer: email, customer ID, order date, and the products bought.\n3. Leave a gap after delivery so buyers have used the product: by default, orders delivered at least 7 days ago.\n4. Filter, show the cohort, and get approval of the exact batch and cap as the cohort policy requires.\n5. Use an existing BYOP study for this audience or create one with `create-study-from-brief`. A good brief covers the trigger moment, the alternatives they weighed, the shelf or page moment that decided it, first use, and what would make them buy again.\n6. Call `create_participants` with the approved batch, passing the customer ID as `external_id` and order context such as `order_date` and `product` as `metadata`.\n7. Report the invitations created, and offer `monitor-fielding` for progress and `analyze-completed-study` once interviews complete.\n"
}