Conversation Analyzer
The Conversation Analyzer reviews your conversations, identifies patterns, and generates actionable suggestions to improve your AI's outreach voice.
How It Works
When you run an analysis:
Fetches all replied conversations for the sequence
Classifies outcomes (positive, negative, neutral) based on conversation status
Analyzes patterns across your conversations using AI
Generates actionable suggestions for improvement
Analysis is triggered manually- it is not automatic.
Suggestion Types
The Analyzer generates four types of suggestions:
Modify Tone Example
An existing tone example isn't matching your actual voice. The Analyzer identifies the misalignment and suggests specific edits.
Add Tone Example
A conversation stage is missing examples or has too few. The Analyzer identifies a gap and suggests a new example based on your successful conversations.
Remove Tone Example
A tone example contains anti-patterns or is consistently associated with stalled conversations. The Analyzer recommends removing it.
Modify Prompt
Your AI prompt needs adjustment. Each prompt modification suggestion targets a specific prompt field:
AI Prompt- general conversation AI instructions
How AI Comments on Posts- LinkedIn comment generation prompt
DM Generation Prompt- cold DM generation prompt
Applying Suggestions
For each suggestion, you can:
Accept: Select the suggestion for application
Discard: Remove the suggestion
After reviewing, click Apply to implement all accepted suggestions at once, or Dismiss to clear all results.
When to Run Analysis
Run the Conversation Analyzer after accumulating enough conversations for meaningful patterns- typically after 20+ replied conversations. The more data available, the more reliable the suggestions.
Next Steps
Tone and Knowledge Base: Manage the tone examples that suggestions modify
AI Response Engine: How tone and prompt changes affect responses
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