# Conversation Flow Builder - Complete Guide

> Design AI voice agent conversation flows visually. Create dialog trees and handle edge cases effectively.

Source: https://edesy.in/docs/tools/voice-ai-tools/conversation-flow-builder

Design effective conversation flows for AI voice agents with visual dialog trees.

## How to Use

### Step 1: Define Entry Points

- Main greeting/welcome
- Different call types
- Transfer destinations
- Error handlers

### Step 2: Build Dialog Tree

- Add conversation nodes
- Connect with transitions
- Define conditions
- Set responses

### Step 3: Add Logic

- Intent detection rules
- Entity extraction
- Conditional branching
- Fallback handling

## Flow Components

### Node Types

| Node | Purpose | Example |
|------|---------|---------|
| Welcome | Entry point | "Hi, how can I help?" |
| Question | Gather info | "What's your order number?" |
| Response | Provide info | "Your order will arrive Thursday" |
| Action | Execute task | Check order status |
| Transfer | Hand to human | Connect to agent |
| End | Close call | "Thank you, goodbye" |

### Transition Types

- **Intent-based**: User says specific thing
- **Entity-based**: Based on extracted value
- **Condition-based**: Business logic
- **Default**: Fallback path

## Sample Flow: Order Status

```
Welcome
  └── "What can I help with today?"
        ├── [Order Status Intent]
        │     └── Ask Order Number
        │           └── Validate Order
        │                 ├── [Valid] → Get Status → Respond
        │                 └── [Invalid] → Error → Retry/Transfer
        ├── [Returns Intent]
        │     └── Returns Flow...
        └── [Other/Unknown]
              └── Clarify → Retry/Transfer
```

## Best Practices

### Conversation Design

1. **Keep it natural**
   - Use conversational language
   - Allow interruptions
   - Handle "um" and "uh"

2. **Be efficient**
   - Don't ask unnecessary questions
   - Remember context
   - Confirm important details

3. **Handle errors gracefully**
   - Don't repeat the same error message
   - Offer alternatives
   - Know when to transfer

### Intent Design

**Good Intents:**
- Specific and distinct
- Have clear training examples
- Cover common variations

**Bad Intents:**
- Overlapping with others
- Too broad or generic
- Missing common phrases

## Error Handling

### No Input Timeout

```
1st timeout: "I didn't catch that. Could you repeat?"
2nd timeout: "I'm still here. What would you like to do?"
3rd timeout: "Let me connect you with someone who can help."
```

### No Match

```
1st no-match: "I didn't quite understand. Could you rephrase?"
2nd no-match: "Let me give you some options: [list options]"
3rd no-match: "I'll connect you with an agent for help."
```

### Technical Errors

```
"I'm having trouble looking that up. Let me connect you with someone who can help directly."
```

## Advanced Features

### Context Management

- Store conversation state
- Reference previous answers
- Remember user preferences

### Slot Filling

```
Required slots:
- Order number: "What's your order number?"
- Verification: "And can you confirm the email on the account?"

Collected: Proceed to lookup
Missing: Re-prompt for slot
```

### Confirmation Patterns

**Implicit**: "Checking order 12345..."
**Explicit**: "Just to confirm, that's order 12345, correct?"

## Testing Checklist

- [ ] Happy path works smoothly
- [ ] Error paths handle gracefully
- [ ] Timeouts behave correctly
- [ ] Edge cases covered
- [ ] Transfers work properly
- [ ] Context is maintained
- [ ] Natural conversation flow

## Related Tools

- [Persona Builder](https://edesy.in/tools/persona-builder) - Define agent personality
- [Call Script Generator](https://edesy.in/tools/call-script-generator) - Script templates
- [Quality Scorecard](https://edesy.in/tools/quality-scorecard) - Evaluate conversations