🧪 Testing Methodology
🎯 Test Design & Execution
Test Parameters
📋 Test Corpus:
- • Meeting count: 50 recorded sessions
- • Total duration: 32.5 hours
- • Action items: 247 manually verified
- • Meeting types: Team standups (20), project reviews (15), client calls (15)
- • Participants: 2-8 people per session
- • Audio quality: Various (office, home, mobile)
🔍 Evaluation Criteria:
- • Detection accuracy: Correctly identified action items
- • Assignment accuracy: Correct person identification
- • Deadline extraction: Due date recognition
- • Priority assessment: Urgency level detection
- • False positives: Incorrect action items
- • Processing time: Speed of analysis
Ground Truth Verification
✅ Manual Annotation:
- • Two independent reviewers per meeting
- • Inter-annotator agreement: 94.3%
- • Conflict resolution through third reviewer
- • Timestamp precision: ±5 seconds
- • Context consideration: Full meeting understanding
📊 Classification System:
- • Explicit actions: "John will send the report"
- • Implicit actions: "We need the budget by Friday"
- • Conditional actions: "If approved, implement next week"
- • Follow-ups: "Circle back on this Monday"
📈 Performance Results
🎯 Overall Detection Accuracy
Core Metrics
📊 Primary Results:
- • Overall accuracy: 68.4% (169/247 detected)
- • Precision: 73.2% (169/231 predictions)
- • Recall: 68.4% (169/247 actual)
- • F1 Score: 70.7%
- • False positives: 62 incorrect detections
- • False negatives: 78 missed actions
⚡ Performance Breakdown:
- • Explicit actions: 81.3% accuracy (best)
- • Implicit actions: 52.7% accuracy
- • Conditional actions: 44.1% accuracy (worst)
- • Follow-up tasks: 63.9% accuracy
- • Processing time: 2.3 minutes average
Feature-Specific Performance
👤 Assignment Detection:
- • Correct assignee: 74.6% accuracy
- • Multiple assignees: 41.2% accuracy
- • Team assignments: 38.9% accuracy
- • Unspecified owner: 67.8% correctly flagged
📅 Deadline Recognition:
- • Explicit dates: 72.3% accuracy
- • Relative dates: 47.1% accuracy ("next week")
- • Fuzzy timeframes: 23.4% accuracy ("soon")
- • No deadline specified: 89.1% correctly identified
⚠️ Common Failure Patterns
Detection Failures
❌ Missed Patterns:
- • Passive voice: "The report needs to be reviewed"
- • Questions as tasks: "Can someone check the data?"
- • Conditional statements: "If budget allows, proceed"
- • Implicit ownership: "Marketing should handle this"
- • Multi-part tasks: Complex sequential actions
🎯 False Positive Triggers:
- • Past references: "John sent the email yesterday"
- • Hypotheticals: "We could update the website"
- • General discussions: "Someone mentioned updates"
- • Status updates: "I'm working on the proposal"
⚖️ Competitive Comparison
🏆 Industry Benchmarks
| Platform | Overall Accuracy | Assignment Detection | Deadline Recognition | Processing Speed |
|---|---|---|---|---|
| Fireflies | 84.2% | 87.1% | 76.8% | 1.8 min |
| Sembly | 79.3% | 82.4% | 69.2% | 2.1 min |
| Otter.ai | 72.1% | 71.3% | 58.7% | 1.4 min |
| Granola | 68.4% | 74.6% | 47.1% | 2.3 min |
| Supernormal | 61.8% | 68.9% | 43.2% | 3.1 min |
| tldv | 56.3% | 59.7% | 38.1% | 1.9 min |
💪 Strengths & Weaknesses Analysis
✅ Key Strengths
Performance Highlights
🎯 Detection Strengths:
- • Explicit actions: 81.3% accuracy (above average)
- • Simple assignments: Good person identification
- • Clear language: Handles direct statements well
- • Multiple speakers: Decent cross-speaker tracking
- • Standard meetings: Reliable for routine sessions
🚀 User Experience:
- • Clean interface: Intuitive action item display
- • Easy editing: Simple manual correction tools
- • Quick setup: Minimal configuration required
- • Integration friendly: Basic API capabilities
⚠️ Critical Weaknesses
Performance Gaps
❌ Detection Limitations:
- • Deadline recognition: 47.1% accuracy (worst in class)
- • Implicit tasks: Struggles with subtle language
- • Complex scenarios: Poor conditional handling
- • Multi-step tasks: Breaks down complex actions
- • Context understanding: Limited conversation awareness
🔧 Feature Gaps:
- • Priority detection: No urgency classification
- • Dependency tracking: No task relationships
- • Progress updates: No status monitoring
- • Advanced integrations: Limited third-party support
🎯 Use Case Recommendations
✅ Best Fit Scenarios
Recommended Use Cases
🎯 Ideal Meetings:
- • Daily standups: Simple, direct action items
- • Client check-ins: Clear follow-up tasks
- • Small team meetings: 2-5 participants
- • Status reviews: Straightforward assignments
- • Simple planning: Basic task allocation
👥 Target Users:
- • Small businesses: Basic productivity needs
- • Freelancers: Simple task tracking
- • Consultants: Client meeting follow-ups
- • Budget-conscious teams: Cost-effective solution
❌ Poor Fit Scenarios
Consider Alternatives For
⚠️ Challenging Meetings:
- • Strategic planning: Complex, conditional tasks
- • Project reviews: Multi-step action items
- • Large team meetings: 8+ participants
- • Creative brainstorming: Implicit actions
- • Executive sessions: Nuanced decision-making
🏢 Enterprise Needs:
- • Project management: Need Fireflies or Sembly
- • Deadline tracking: Consider Otter.ai Pro
- • Complex workflows: Look at Asana/Monday.com
- • Priority management: Requires manual tools
🔗 Related Analysis
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