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@@ -47,6 +47,8 @@ erDiagram
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text text
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text partner_text "for two-part questions"
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int intensity "1-5"
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text[] allowed_couple_genders "couple composition filter"
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text[] target_user_genders "individual user filter"
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timestamptz created_at
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}
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@@ -180,3 +182,34 @@ erDiagram
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1. Couples can enable/disable packs via `couple_packs` junction table
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2. `get_recommended_questions()` function filters questions by enabled packs
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3. Two-part questions show `partner_text` to second responder
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### Question Targeting System
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Questions can be targeted at specific audiences using two complementary filters:
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| Field | Purpose | Level | Example |
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|-------|---------|-------|---------|
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| `allowed_couple_genders` | Couple composition filter | Couple | `['male+female', 'female+female']` |
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| `target_user_genders` | Individual user filter | User | `['female', 'non-binary']` |
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**How targeting works:**
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1. **Couple filter** (`allowed_couple_genders`): Questions only shown to couples matching the composition (e.g., same-sex specific questions)
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2. **User filter** (`target_user_genders`): Controls who sees the question **as initiator** (first responder)
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- If user's gender matches → they can see and answer first
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- If user's gender doesn't match → they only see it after partner answers (via `partner_text`)
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**Example flow:**
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```
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Question:
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text: "Have your partner suck your tits"
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partner_text: "Suck your partner's tits"
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target_user_genders: ['female']
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1. Female sees "Have your partner suck your tits" → swipes YES
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2. Male sees "Suck your partner's tits" (partner_text, unlocked by her answer)
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3. Both answered → Match created!
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```
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This ensures gender-appropriate phrasing while still allowing both partners to respond.
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