Analytics

Track performance, user engagement, and knowledge gaps with Ask0 analytics. Monitor conversations, identify trends, and improve responses.

Ask0 provides comprehensive analytics to help you understand how users interact with your AI assistant, measure performance, and identify areas for improvement.

Dashboard Overview

The analytics dashboard provides real-time insights into:

Conversation Metrics: Volume, duration, resolution rates
User Engagement: Active users, return rates, satisfaction
Content Performance: Most referenced sources, knowledge gaps
System Performance: Response times, accuracy, availability

Key Metrics

Conversation Analytics

Track conversation patterns and trends:

Total Conversations: 12,453
Daily Average: 415
Peak Hours: 2-4 PM EST
Average Duration: 3.5 minutes
Messages per Conversation: 4.2
Resolution Rate: 87%

Conversation Flow

Entry Points: Where users start conversations
Common Paths: Typical question sequences
Drop-off Points: Where users leave unsatisfied
Resolution Indicators: How conversations conclude

User Engagement

Understand your user base:

Unique Users: 3,241
Return Users: 68%
New vs Returning: 32% / 68%
Average Sessions per User: 2.8
User Satisfaction: 4.3/5
Top User Segments:
  - Developers: 45%
  - End Users: 35%
  - Support Staff: 20%

Question Analysis

Insights into what users are asking:

Metric	Value	Trend
Total Questions	52,891	↑ 12%
Unique Questions	8,234	↑ 8%
Answered Successfully	87%	↑ 2%
Required Clarification	9%	↓ 1%
Couldn't Answer	4%	↓ 1%

Source Performance

Measure which sources provide value:

Most Used Sources:
  1. Documentation (42%)
  2. GitHub Issues (28%)
  3. Custom Knowledge (15%)
  4. Blog Posts (10%)
  5. Discord (5%)

Source Quality Scores:
  - Documentation: 92% helpful
  - GitHub Issues: 85% helpful
  - Custom Knowledge: 94% helpful
  - Blog Posts: 78% helpful

Feedback Analytics

User Reactions

Track satisfaction through feedback:

Feedback Collection Rate: 34%
Positive Feedback: 78%
Negative Feedback: 12%
Neutral/No Rating: 10%

Common Positive Comments:
  - "Quick and accurate"
  - "Found exactly what I needed"
  - "Better than searching docs"

Common Negative Comments:
  - "Answer too generic"
  - "Needed more detail"
  - "Couldn't find specific info"

Sentiment Analysis

Automatic sentiment tracking:

Positive Conversations: 72%
Neutral Conversations: 21%
Negative Conversations: 7%

Knowledge Gap Analysis

Identify content that needs improvement:

Unanswered Questions

Questions the AI couldn't answer well:

Top Unanswered Topics:
  1. "Advanced configuration for X feature" (45 times)
  2. "Troubleshooting Y error" (38 times)
  3. "Integration with Z platform" (31 times)
  4. "Performance optimization tips" (28 times)
  5. "Migration from competitor" (24 times)

Recommended Actions:
  - Add documentation for X feature configuration
  - Create troubleshooting guide for Y error
  - Write Z platform integration tutorial

Low Confidence Responses

Areas where the AI is uncertain:

Topic	Confidence	Occurrences	Action
API Rate Limits	62%	89	Update docs
Pricing Tiers	58%	67	Add to custom knowledge
Security Features	65%	45	Expand documentation

Performance Metrics

Response Quality

Measure answer effectiveness:

Average Confidence Score: 84%
High Confidence (>80%): 71%
Medium Confidence (50-80%): 24%
Low Confidence (<50%): 5%

Source Attribution Rate: 92%
Multi-source Answers: 38%
Fallback Responses: 3%

System Performance

Technical performance metrics:

Average Response Time: 1.8 seconds
P50 Response Time: 1.5 seconds
P95 Response Time: 3.2 seconds
P99 Response Time: 4.8 seconds

Uptime: 99.97%
Error Rate: 0.03%
Timeout Rate: 0.01%

Custom Reports

Creating Reports

Build custom analytics views:

// Via API
const report = await ask0.analytics.createReport({
  name: 'Weekly Executive Summary',
  metrics: [
    'total_conversations',
    'user_satisfaction',
    'top_questions',
    'knowledge_gaps'
  ],
  period: 'last_7_days',
  groupBy: 'day',
  filters: {
    source: 'documentation',
    confidence: '>70%'
  }
});

Scheduled Reports

Automate report delivery:

Report: Weekly Performance Summary
Schedule: Every Monday at 9 AM
Recipients:
  - team@company.com
  - executives@company.com
Include:
  - Conversation trends
  - User satisfaction
  - Top questions
  - System performance
Format: PDF and CSV

Conversation Insights

Conversation Paths

Visualize user journeys:

graph LR
    A[User Arrives] --> B[Opens Chat]
    B --> C[Asks Question]
    C --> D[Receives Answer]
    D --> E{Satisfied?}
    E -->|Yes| F[Closes Chat]
    E -->|No| G[Asks Follow-up]
    G --> D

Drop-off Analysis

Understand why users leave:

Got Answer: 72%
No Response Needed: 15%
Unsatisfied: 8%
Technical Issue: 3%
Other: 2%

Real-time Monitoring

Live Dashboard

Monitor current activity:

Active Conversations: Real-time count
Queue Length: Pending responses
Response Times: Current latency
Error Rate: Last 5 minutes
User Locations: Geographic distribution

Alerts & Notifications

Set up proactive monitoring:

Alert Rules:
  - Name: High Error Rate
    Condition: error_rate > 5%
    Duration: 5 minutes
    Action: Email + Slack

  - Name: Slow Response
    Condition: p95_response_time > 5s
    Duration: 10 minutes
    Action: PagerDuty

  - Name: Knowledge Gap Detected
    Condition: unanswered_questions > 10
    Duration: 1 hour
    Action: Email product team

Data Export

Export Options

Export data for deeper analysis:

Available Formats:

CSV
JSON
Excel
Google Sheets (direct export)
BigQuery (streaming)

Exportable Data:

Conversations
Questions & Answers
User Feedback
Source Usage
Performance Metrics

API Access

Programmatic access to analytics:

// Get conversation metrics
const metrics = await ask0.analytics.getMetrics({
  metrics: ['conversations', 'users', 'satisfaction'],
  period: 'last_30_days',
  granularity: 'day'
});

// Get top questions
const topQuestions = await ask0.analytics.getTopQuestions({
  limit: 100,
  period: 'last_7_days',
  includeVariations: true
});

// Get knowledge gaps
const gaps = await ask0.analytics.getKnowledgeGaps({
  minOccurrences: 5,
  confidence: '<70%'
});

Optimization Recommendations

Based on analytics, Ask0 provides recommendations:

Content Improvements

Recommended Actions:

Add documentation for "API authentication" (asked 45 times)
Update "Installation guide" (low satisfaction score)
Create FAQ for "Billing questions" (high volume)
Improve "Error messages" section (many follow-ups)

Source Optimization

Underperforming: Blog posts from 2022 (remove)
Missing Coverage: API v2 documentation (add)
Duplicate Content: Remove redundant guides
Stale Content: Update pricing page (outdated)

Privacy & Compliance

Data Handling

How analytics data is managed:

Data Collection:
  - Anonymized by default
  - No PII in analytics
  - User consent respected
  - GDPR compliant

Data Retention:
  - Conversations: 90 days
  - Aggregated metrics: 2 years
  - Raw logs: 30 days
  - Exported data: User controlled

Data Access:
  - Role-based permissions
  - Audit logging
  - Encrypted storage
  - Secure API access

Compliance Reports

Generate compliance documentation:

GDPR data processing records
User consent tracking
Data deletion logs
Access audit trails

Best Practices

Review Weekly: Check key metrics every week
Act on Gaps: Address unanswered questions quickly
Monitor Trends: Watch for changes in patterns
Gather Feedback: Encourage users to rate responses
Iterate Sources: Continuously improve content
Set Alerts: Proactively catch issues
Share Insights: Keep team informed

Next Steps

Improve Sources

Add content to fill knowledge gaps

Configure Feedback

Set up better feedback collection

Export Data

Analyze data in external tools

Analytics

Improve Sources

Configure Feedback

Export Data

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