AuthentiVoice’s review system enables teams to collaborate efficiently on call analysis, with role-based workflows, progress tracking, and consensus building.
Overview
The multi-reviewer workflow system is designed for organizations that need multiple perspectives on call analysis:Role-Based Access
Admin, Supervisor, and Reviewer roles
Smart Assignment
Intelligent workload distribution
Progress Tracking
Real-time visibility into review status
Quality Scoring
Comprehensive scoring system
User Roles & Permissions
Role Hierarchy
- Admin
- Supervisor
- Reviewer
Full system access including:
- User management
- Organization settings
- All supervisor permissions
- System configuration
- Integration management
- Audit logs access
Review Assignment
Manual Assignment
Supervisors can manually assign reviews based on:1
Individual Assignment
Assign specific calls to individual reviewers
2
Bulk Assignment
Distribute multiple calls across team members
3
Smart Assignment
AI-powered assignment based on expertise and workload
Assignment Strategies
Round-Robin Distribution
Round-Robin Distribution
Evenly distributes calls among available reviewersBest for: Teams with similar skill levelsConfiguration:
Workload-Based
Workload-Based
Assigns based on current reviewer workloadBest for: Maintaining balanced productivityConfiguration:
Expertise-Based
Expertise-Based
Matches calls to reviewer expertiseBest for: Specialized review requirementsConfiguration:
Review Process
Review Workflow
Review Interface
The review interface is designed for efficiency, allowing reviewers to quickly assess calls while maintaining thoroughness.
- Synchronized Playback: Audio plays alongside transcript highlighting
- AI Insights Panel: View fraud indicators and red flags
- Scoring Widgets: Quick scoring for different criteria
- Comment System: Add timestamped comments
- Keyboard Shortcuts: Speed up review process
Scoring System
- Default Scorecard
- Custom Scorecards
Progress Tracking
Team Dashboard
Monitor team performance in real-time:Reviews Pending
Track unassigned and in-progress reviews
Completion Rate
Monitor daily/weekly completion metrics
Quality Scores
Track average quality scores by reviewer
Individual Metrics
Track reviewer performance:| Metric | Description | Target |
|---|---|---|
| Reviews/Day | Average daily review completion | 20-30 |
| Accuracy Rate | Agreement with consensus/supervisor | >90% |
| Avg Review Time | Time spent per review | 3-5 min |
| Quality Score | Average score given | Baseline |
Multi-Reviewer Consensus
For high-stakes calls, multiple reviewers can assess the same recording:1
Configure Consensus Rules
2
Assign Multiple Reviewers
3
Calculate Consensus
System automatically calculates consensus based on:
- Majority agreement on key indicators
- Average scores within threshold
- Supervisor override if needed
Notifications & Alerts
Review Notifications
- Email Notifications
- In-App Alerts
- Webhook Integration
- New review assignments
- Due date reminders
- Escalation alerts
- Daily summary reports
Best Practices
Following these best practices ensures consistent, high-quality reviews across your team.
For Supervisors
- Balance Workloads: Monitor reviewer capacity and adjust assignments
- Set Clear Expectations: Define quality standards and timelines
- Regular Calibration: Conduct team calibration sessions
- Provide Feedback: Regular performance reviews and coaching
For Reviewers
- Maintain Consistency: Apply scoring criteria uniformly
- Document Thoroughly: Add clear comments for decisions
- Flag Uncertainties: Escalate unclear cases to supervisors
- Meet Deadlines: Complete reviews within SLA timeframes
API Integration
Integrate the review system with your existing tools:Reporting & Analytics
Generate comprehensive reports on review operations:Team Performance Report
Team Performance Report
- Review completion rates by team member
- Average review times
- Quality score distributions
- Workload analysis
Quality Assurance Report
Quality Assurance Report
- Inter-rater reliability scores
- Consensus agreement rates
- Escalation patterns
- Training needs identification
Operational Metrics
Operational Metrics
- Total reviews completed
- Average turnaround time
- SLA compliance rate
- Resource utilization