# Website Discovery Research Findings

## Key Insights from Industry Best Practices

### 1. Jennifer Bourn's Two-Part Discovery Framework
- **Brand Discovery**: Focuses on heart, emotions, mission, vision, values, ideal clients
- **Website Discovery**: Focuses on logic, operations, features, actions, goals

### 2. 3.7 Designs' Structured Approach
Categories:
- **Background**: Primary objectives, KPIs, current state
- **Stakeholders**: Who has vested interest, their priorities
- **Users**: Segmentation, motivations, pain points, buyer journey
- **Competitors**: Direct/indirect competitors, differentiation
- **Branding**: Guidelines, typefaces, colors, style, tone
- **Communication**: Key messages, brand personality, emotional impact

### 3. Key Principles for Effective Discovery
1. **Discussion over direct answers**: Questions should spur conversation
2. **Depth over breadth**: Some questions lead to entire conversations
3. **Golden insights in elaboration**: Encourage clients to elaborate
4. **Understanding over note-taking**: Fully comprehend, don't just record
5. **Dig deeper when opportunities arise**: Follow interesting threads

### 4. Essential Question Categories

#### Business & Goals
- Overall website goal and desired outcomes
- Success metrics and KPIs
- Current state (what works/doesn't work)
- Future vision (3-5 years)

#### Target Audience
- Ideal client description
- Pain points and challenges
- Motivations and triggers
- Decision-making process
- Buyer journey stages
- Digital behavior and tech-savviness

#### Brand & Identity
- Mission, vision, purpose
- Core values
- Unique differentiators
- Desired reputation
- Brand personality and tone
- Visual preferences and requirements

#### Functionality & Features
- Required pages and navigation
- Desired visitor actions (CTAs)
- Forms needed (contact, booking, etc.)
- Special features (blog, email opt-in, calendar, etc.)
- Integration requirements

#### Design Preferences
- Emotional response desired
- Example sites (design, flow, features)
- Must-haves and must-avoids
- Brand materials to match

## Implications for Conversational AI Design

### For 11 Labs Conversational Agent:
1. **Open-ended prompts**: Encourage storytelling and elaboration
2. **Follow-up questions**: Dig deeper based on responses
3. **Natural flow**: Don't force rigid structure
4. **Active listening**: Reference previous answers
5. **Clarification**: Ensure understanding before moving on
6. **Time flexibility**: Allow hour-long conversations
7. **Skip option**: Let users skip preamble and get straight to questions

### Information Extraction Strategy:
- Parse long-form responses for key data points
- Map natural language to structured fields
- Identify implicit information (reading between lines)
- Flag areas needing clarification
- Generate follow-up questions automatically


## 11 Labs Conversational AI Insights

### Voice Selection Recommendations
For website discovery conversations, ideal voices:
- **Jessica Anne Bogart**: Empathetic and expressive, great for wellness coaches
- **Eryn**: Friendly and relatable, ideal for casual interactions
- **Archer**: Grounded and friendly young British male with charm
- **Hope**: Bright and uplifting, perfect for positive interactions

### Voice Settings for Discovery Conversations
- **Stability**: 0.40-0.60 (slightly emotional, dynamic delivery for engagement)
- **Similarity**: Medium-high (clear and consistent)
- **Speed**: 0.9-1.0x (natural conversational pace)

### Integration Approach
- Embed 11 Labs widget HTML directly into web interface
- Admin panel for easy widget code updates
- Fallback to form/audio upload if voice agent unavailable