Analytics & Reporting Features¶

Category: Business Intelligence & Insights
Target Users: Business users, analysts, managers
Business Value: Data-driven decisions and ROI tracking

🎯 Overview¶

Comprehensive analytics to measure chatbot performance, user engagement, and business impact. From real-time metrics to exportable reports.

📊 Usage Analytics¶

Real-Time Metrics¶

What it does:
Live dashboard showing current activity across all chatbots.

Key Metrics:

1. Chatbot Performance

Total chat sessions (today/week/month/year)
Active conversations (right now)
Average response time
Messages per session
Session duration

2. User Engagement

Unique visitors
Returning vs new users
Peak usage hours
Geographic distribution
Device breakdown (desktop/mobile)

3. Content Performance

Most asked questions
Unanswered queries
Knowledge base gaps
Popular topics
Response confidence scores

4. Business Impact

Leads collected (if forms enabled)
Conversion rate
Goal completions
Cost savings (vs human support)

Technical:

Backend: stats_service.py, user-service
Real-time: WebSocket updates
Storage: MongoDB aggregations
Frontend: Dashboard with charts

Historical Analytics¶

What it does:
Trend analysis over time to identify patterns.

Time Ranges:

Daily (24 hours)
Weekly (7 days)
Monthly (30 days)
Yearly (12 months)
Custom range (date picker)

Charts:

Line charts (trends)
Bar charts (comparisons)
Pie charts (distributions)
Heatmaps (time-based)

Filters:

By chatbot
By type (3D/Text/Voice)
By plan (Free/Pro/Business/Premium)
By date range
By geography

💬 Conversation Analytics¶

Chat Session Analysis¶

What it does:
Deep dive into individual conversations.

Metrics Per Session:

Session ID
Start/end timestamp
Duration
Message count
User ID (if available)
Device/browser
Location (city/country)
Entry point (referrer)

Conversation Quality:

AI confidence scores
User satisfaction (thumbs up/down)
Escalation to human (if configured)
Resolution status
Fallback rate

Export:

Full transcript (JSON/CSV)
Session replay
Anonymized data (GDPR-compliant)

Question Analysis¶

What it does:
Understand what users are asking and how well you're answering.

Top Questions:

Most frequently asked
Question frequency over time
Average confidence score
Answer source (RAG vs Q&A vs guardrail)

Unanswered Questions:

Questions with low confidence (<70%)
Failed retrievals
Out-of-scope queries
Opportunities for improvement

Question Categories:

Auto-categorize by topic
Intent classification
Sentiment analysis
Priority ranking

Actionable Insights:

"Add Q&A for: [common question]"
"Update content on: [topic]"
"Consider guardrail for: [issue]"

🎯 Business Intelligence¶

Lead Generation Metrics¶

What it does:
Track lead collection and conversion (if lead forms enabled).

Metrics:

Total leads collected
Conversion rate (chat to lead)
Lead quality score
Follow-up rate
Sales pipeline value

Lead Data:

Name, email, phone
Company (if collected)
Interest area
Message history
Collection timestamp

Integration:

Export to CRM
Email notifications
Webhook triggers
API access

ROI Calculator¶

What it does:
Quantify the value of your chatbot.

Calculations:

Cost Savings:

Human Support Replaced:
- Conversations handled: 10,000/month
- Avg human cost per chat: $5
- Monthly savings: $50,000

Revenue Impact:

Leads Generated:
- Total leads: 200/month
- Conversion rate: 10%
- Avg deal value: $1,000
- Monthly revenue: $20,000

Time Saved:

Instant Responses:
- Avg human response time: 15 min
- Chatbot response time: 3 sec
- Time saved per query: 14.95 min
- Total time saved: 2,492 hours/month

ROI Display:

Total investment (subscription cost)
Total value (savings + revenue)
Return percentage
Payback period

📈 Performance Dashboards¶

Executive Dashboard¶

What it does:
High-level KPIs for leadership.

Widgets:

Total users served
Cost per conversation
Customer satisfaction score
Growth trends
Plan usage vs limits

Comparison:

Month-over-month
Year-over-year
Benchmark vs industry
Plan performance

Operational Dashboard¶

What it does:
Detailed metrics for day-to-day management.

Sections:

1. System Health

Uptime percentage
Error rate
API latency
Database performance

2. Chatbot Status

Active/inactive chatbots
Data freshness
Last updated
Configuration completeness

3. User Activity

Active sessions
Peak times
Geographic heatmap
Device breakdown

4. Alerts

Near plan limits
Low knowledge base coverage
High error rate
Performance degradation

📊 Custom Reports¶

Report Builder¶

What it does:
Create custom reports for specific needs.

Dimensions:

Time period
Chatbot selection
Metric selection
Filters (plan, type, location)
Grouping (by day/week/month)

Report Types:

1. Usage Report

Chat sessions
Message volume
User engagement
Peak hours

2. Performance Report

Response times
Confidence scores
Error rates
Success metrics

3. Content Report

Top questions
Unanswered queries
Knowledge gaps
Content effectiveness

4. Business Report

Leads generated
Conversions
Revenue impact
ROI analysis

Scheduled Reports¶

What it does:
Auto-generate and email reports on a schedule.

Features:

Daily/weekly/monthly frequency
Email delivery
Multiple recipients
PDF/Excel format
Custom branding

Example:

Weekly Summary Report
- Sent every Monday 9 AM
- Recipients: team@company.com
- Format: PDF
- Contains: Usage, top questions, leads

📥 Data Export¶

Export Options¶

What it does:
Download raw data for external analysis.

Formats:

CSV: For Excel/Google Sheets
JSON: For programmatic access
PDF: For presentations
Excel: With charts and formatting

Export Types:

1. Chat History

All conversations
Filtered by date/chatbot
With metadata
Anonymized option

2. Analytics Data

Usage metrics
Performance stats
Custom timeframes
Aggregated or raw

3. Knowledge Base

Q&A pairs
Crawled content
File metadata
Vector embeddings (advanced)

Technical:

Async generation (large exports)
Download link expires in 24h
GDPR-compliant anonymization
Encryption at rest

🔔 Alerts & Notifications¶

Smart Alerts¶

What it does:
Proactive notifications for important events.

Alert Types:

1. Usage Alerts

Near plan limit (80% threshold)
Unusual spike in traffic
Low usage warning
Inactive chatbot

2. Performance Alerts

High error rate (>5%)
Slow response time (>10s)
Low confidence scores (<60%)
System downtime

3. Business Alerts

New lead collected
Goal completion
Negative feedback received
Conversion milestone

4. Maintenance Alerts

Data needs updating
Expired URLs
Large file uploads pending
System updates available

Delivery:

Email notifications
In-app alerts
Push notifications (roadmap)
Webhook integrations

🎨 Visualization Tools¶

Interactive Charts¶

What it does:
Visual data exploration.

Chart Types:

Line (trends over time)
Bar (comparisons)
Pie (distributions)
Heatmap (time/geography)
Funnel (conversion paths)

Interactions:

Hover for details
Click to drill down
Zoom in/out
Export as image
Share link

Responsive:

Desktop optimized
Mobile friendly
Print-ready
Accessible (WCAG 2.1)

🔍 Advanced Analytics¶

Sentiment Analysis¶

What it does:
Understand user emotions from chat messages.

Analysis:

Positive/Negative/Neutral
Emotion detection (frustrated, happy, confused)
Trend over time
Alert on negative spikes

Use Cases:

Identify pain points
Measure satisfaction
Improve responses
Prioritize improvements

A/B Testing Results¶

What it does:
Compare different chatbot configurations.

Test Types:

System prompt variations
Different LLM models
Response length
Greeting messages