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Kunthawat Greethong
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# Research Input Placeholder Personalization Implementation
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## Date: 2025-12-31
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---
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## ✅ **Validation: Research Persona Storage**
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**Status**: ✅ **Confirmed - Research persona is successfully stored in database**
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**Validation Results**:
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- PersonaData record exists with ID: 1
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- Research persona field is populated (not None)
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- Generated at: 2025-12-31 11:47:49
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- Contains all expected fields:
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- `default_industry`: "Content Marketing"
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- `default_target_audience`: (populated)
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- `research_angles`: Array of research angles
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- `recommended_presets`: Array of personalized presets
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- `suggested_keywords`: Array of suggested keywords
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---
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## 🎯 **Implementation: Personalized Placeholders**
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### **What Was Changed:**
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#### **1. Enhanced Placeholder Function** (`placeholders.ts`)
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**Added**:
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- ✅ `PersonaPlaceholderData` interface to type persona data
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- ✅ Enhanced `getIndustryPlaceholders()` to accept optional persona data
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- ✅ Logic to generate placeholders from:
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- **Research Angles**: First 3 angles formatted as research queries
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- **Recommended Presets**: First 2 presets with their keywords and descriptions
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- ✅ Fallback to industry defaults if persona data is unavailable
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**How It Works**:
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```typescript
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// If research persona exists:
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1. Extract first 3 research_angles → Format as placeholders
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2. Extract first 2 recommended_presets → Use keywords + descriptions
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3. Combine with 2 industry defaults as backup
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4. Return personalized placeholders array
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// If no persona:
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1. Fall back to industry-specific defaults
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```
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#### **2. Updated ResearchInput Component** (`ResearchInput.tsx`)
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**Added**:
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- ✅ `researchPersona` state to store persona data
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- ✅ Logic to extract persona data from `config.research_persona`
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- ✅ Pass persona data to `getIndustryPlaceholders()` function
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**Flow**:
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```
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Component Mount
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↓
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Load Research Config
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↓
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Check if research_persona exists
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↓
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Extract research_angles and recommended_presets
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↓
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Store in researchPersona state
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↓
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Pass to getIndustryPlaceholders(industry, personaData)
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↓
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Display personalized placeholders
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```
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---
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## 📊 **Placeholder Generation Logic**
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### **Priority Order:**
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1. **Research Angles** (if available)
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- Format: `"Research: {angle}"` or use angle as-is if it contains `{topic}` placeholder
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- Example: `"Research: Compare {topic} tools"` → `"Research: Compare Content Marketing tools"`
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- Adds helpful description: "This will help you: Discover relevant insights..."
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2. **Recommended Presets** (if available)
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- Uses preset keywords directly
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- Includes preset description if available
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- Example: Uses actual preset keywords from persona
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3. **Industry Defaults** (fallback)
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- Uses original industry-specific placeholders
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- Only used if no persona data or as backup
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### **Example Output:**
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**With Research Persona**:
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```
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Research: Compare Content Marketing tools
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💡 This will help you:
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• Discover relevant insights and data
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• Find authoritative sources and experts
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• Get comprehensive analysis tailored to your needs
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---
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Research latest content marketing automation platforms for B2B SaaS companies
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💡 Analyze competitive landscape and identify top content marketing tools and strategies
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```
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**Without Research Persona** (fallback):
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```
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Research: Latest AI advancements in your industry
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💡 What you'll get:
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• Recent breakthroughs and innovations
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• Key companies and technologies
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• Expert insights and market trends
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```
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---
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## 🔧 **Technical Details**
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### **Files Modified:**
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1. **`frontend/src/components/Research/steps/utils/placeholders.ts`**
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- Added `PersonaPlaceholderData` interface
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- Enhanced `getIndustryPlaceholders()` function
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- Added `getIndustryDefaults()` helper function
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2. **`frontend/src/components/Research/steps/ResearchInput.tsx`**
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- Added `researchPersona` state
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- Updated config loading to extract and store persona data
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- Updated placeholder generation to pass persona data
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### **Data Flow:**
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```
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Backend API
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↓
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getResearchConfig()
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↓
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config.research_persona
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↓
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Extract: research_angles, recommended_presets
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↓
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Store in researchPersona state
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↓
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getIndustryPlaceholders(industry, researchPersona)
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↓
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Generate personalized placeholders
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↓
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Display in textarea (rotates every 4 seconds)
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```
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---
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## ✅ **Benefits**
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1. **Hyper-Personalization**: Placeholders are now based on user's actual research persona
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2. **Relevant Examples**: Users see research angles and presets that match their industry/audience
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3. **Better UX**: More actionable placeholder text that guides users
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4. **Progressive Enhancement**: Falls back gracefully if persona data unavailable
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---
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## 🧪 **Testing**
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**To Test**:
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1. Generate research persona (if not already generated)
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2. Navigate to Research page
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3. Check textarea placeholders - should show:
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- Research angles formatted as queries
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- Recommended preset keywords
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- Personalized descriptions
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**Expected Behavior**:
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- Placeholders rotate every 4 seconds
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- Show personalized content from research persona
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- Fall back to industry defaults if persona unavailable
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---
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## 📝 **Next Steps** (Optional)
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1. **Add Visual Indicator**: Show badge when placeholders are personalized
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2. **User Feedback**: Allow users to rate placeholder helpfulness
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3. **Dynamic Updates**: Update placeholders when persona is refreshed
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4. **A/B Testing**: Compare personalized vs. generic placeholder effectiveness
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---
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## 🎉 **Summary**
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✅ Research persona storage validated
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✅ Placeholders now use research_angles and recommended_presets
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✅ Personalized experience for users with research persona
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✅ Graceful fallback for users without persona
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The research input placeholders are now fully personalized based on the user's research persona, providing a more relevant and helpful experience for content creators.
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