How Insights Work
Emanate continuously analyzes:- Conversation patterns
- Success/failure rates
- Customer sentiment
- Agent responses
- Trend identification
- Anomaly detection
- Improvement recommendations
- Predicted outcomes
Insights Dashboard
Performance Summary
Current performance vs. previous period:| Metric | Current | Previous | Change |
|---|---|---|---|
| Conversations | 4,370 | 3,892 | +12% |
| Lead Rate | 43% | 38% | +5% |
| Avg Score | 86.5 | 84.2 | +2.3 |
| Resolution | 78% | 75% | +3% |
Key Insights
AI-generated insights displayed as cards:Positive Trends
Lead capture rate improved 12% Since adding qualifying questions to the sales agent prompt, lead capture has increased from 38% to 43%. The specific change that helped was asking about timeline early in calls.
Areas for Improvement
Support calls averaging 2 minutes longer than benchmark Support conversations are running 5:12 on average vs. 3:15 benchmark. Common pattern: agents spending time on issues that could be resolved with knowledge base updates. Recommendation: Add FAQ content for top 5 support topics.
Anomalies Detected
Unusual drop in connect rate on Tuesdays Tuesday connect rates dropped 15% over the last 3 weeks. This correlates with a change in calling hours. Consider adjusting Tuesday schedule to match Monday/Wednesday patterns.
Insight Categories
Volume Insights
- Traffic patterns
- Peak hours
- Seasonal trends
- Campaign impact
Quality Insights
- Score trends
- Category improvements
- Common issues
- Agent comparisons
Conversion Insights
- Lead capture patterns
- Qualification rates
- Successful techniques
- Drop-off points
Operational Insights
- Technical issues
- Response times
- Error rates
- System health
Recommendations
System Prompt Suggestions
AI suggests prompt improvements:Current Prompt Issue Agent often misses collecting company name early in calls. Suggested Addition After greeting, add: “May I ask what company you’re calling from? This helps me provide more relevant information.” Expected Impact +15% company name capture rate based on similar changes.
Knowledge Base Gaps
Identify missing content:Top Questions Without Good AnswersRecommendation: Add FAQ content for these topics.
- “What’s the lead time for custom orders?” (23 occurrences)
- “Do you ship internationally?” (18 occurrences)
- “What’s your return policy?” (15 occurrences)
Process Improvements
Opportunity: Callback Scheduling Currently, when callers can’t talk, agents say “call back anytime.” Suggestion: Offer to schedule a specific callback time using calendar integration. Similar companies see 40% higher return rate.
Trend Analysis
Pattern Detection
AI identifies recurring patterns:- “Mondays have 20% lower scores - agents may need refresher after weekend”
- “Calls after 4pm have higher abandon rate - consider adjusted staffing”
- “Product X inquiries convert 2x higher than average”
Predictive Insights
Forecasting
Risk Alerts
Custom Insights
Define Focus Areas
You can define focus areas for Insights to analyze, such as enterprise lead conversion, support resolution time, or competitor mentions.Custom Metrics
Create custom metrics by defining a name, filter criteria (e.g., company size over 500), and a calculation (e.g., leads divided by conversations).Insight Actions
One-Click Improvements
Some insights have direct actions:- Update Prompt: Apply suggested prompt change
- Add Content: Create knowledge base article
- Adjust Schedule: Modify campaign timing
- Create Alert: Set up monitoring
Share Insights
Send insights to stakeholders:- Email summary
- Team chat notification
- PDF report
Next Steps
Evaluations
Quality scoring
Call Logs
Review conversations
Voice Agents
Apply improvements
Campaigns
Optimize campaigns