Overview
Stanna’s insights engine automatically analyzes your client data to surface important patterns, risks, and opportunities that might otherwise go unnoticed. These insights help you stay proactive in managing your client relationships.Insights dashboard showing AI-generated recommendations and risk alerts
Automated Risk Detection
Score Movement Analysis
The insights engine tracks significant changes in client health scores and provides context for why these changes occurred. Key Insights Include:- Score Risers: Clients with improving health scores and the factors driving improvement
- Score Fallers: Clients with declining scores and specific risk factors
- Latency Risks: Clients with delayed responses or reduced engagement
- Stakeholder Breadth: Analysis of relationship depth across client organizations
Risk Categories
Communication Risks
Communication Risks
Engagement Pattern Analysis:
- Extended periods without client response
- Declining email open rates
- Reduced meeting attendance
- Shorter interaction durations
Relationship Depth Risks
Relationship Depth Risks
Stakeholder Breadth Analysis:
- Single point of contact dependency
- Key stakeholder disengagement
- Limited decision-maker access
- Organizational changes affecting contacts
Sentiment Risks
Sentiment Risks
Sentiment Trend Analysis:
- Sustained negative sentiment patterns
- Support ticket escalation frequency
- Complaint keyword detection
- Satisfaction score decline
Revenue Risks
Revenue Risks
Business Indicator Analysis:
- Contract value reductions
- Usage pattern declines
- Billing or payment issues
- Renewal probability drops
Accessing Insights via API
Get Workspace Insights
Retrieve AI-generated insights for your entire workspace.Get Client-Specific Insights
Retrieve detailed insights for a specific client.Understanding Insight Types
Communication Insights
Email Engagement Analysis:- Open rate trends and patterns
- Response time analysis
- Engagement depth (reply length, questions asked)
- Communication frequency patterns
- Attendance consistency
- Meeting duration trends
- Participant engagement levels
- Follow-up completion rates
Relationship Insights
Stakeholder Mapping:- Contact diversity across departments
- Decision maker engagement levels
- Champion identification
- Influence network analysis
- Interaction frequency per stakeholder
- Cross-functional engagement
- Executive-level relationships
- Technical vs. business contact balance
Business Insights
Usage Pattern Analysis:- Product adoption trends
- Feature utilization changes
- User activity patterns
- Value realization indicators
- Contract renewal signals
- Expansion opportunity indicators
- Churn risk factors
- Payment and billing patterns
Configuring Insight Alerts
Alert Thresholds
You can customize when insights trigger alerts based on your business needs:Notification Preferences
Set up how you want to receive insight alerts:- Real-time alerts: Immediate notifications for urgent insights
- Daily digest: Summary of new insights each morning
- Weekly reports: Comprehensive insight analysis and trends
- Custom alerts: Specific thresholds for different client tiers
Using Insights Effectively
Daily Workflow Integration
1
Morning Insight Review
Check new alerts and recommendations from the insights dashboard
2
Prioritize Actions
Focus on high-severity insights with immediate revenue impact
3
Take Action
Execute recommended actions (calls, emails, meetings)
4
Track Outcomes
Monitor how insights and actions affect client health scores
Best Practices
Act on High-Severity Alerts
Address urgent insights within 24 hours to prevent client churn
Look for Patterns
Use insights to identify broader trends across your portfolio
Validate Recommendations
Insights are suggestions - apply your client knowledge before acting
Track Success
Monitor which insight-driven actions have the biggest impact
Advanced Analytics
Cohort Analysis
Track client health patterns across different segments:- New clients vs. established relationships
- Industry-specific trends
- Client size impact on engagement patterns
- Seasonal variation analysis
Predictive Modeling
Stanna’s AI models can predict:- Churn probability 30-90 days in advance
- Expansion opportunity likelihood
- Optimal outreach timing
- Stakeholder engagement patterns
Custom Insights
Enterprise customers can configure custom insight rules based on:- Industry-specific metrics
- Custom data fields
- Integration-specific signals
- Business process milestones
Advanced Features: Contact support@gostanna.com to learn about custom insight configuration and advanced analytics features.