Analytics & Insights

KnowFlow's analytics tools help you understand how your AI assistants are performing, identify knowledge gaps, and make data-driven improvements to enhance user experience.

Analytics Dashboard

The analytics dashboard provides a comprehensive overview of your AI assistants' performance across all deployments.

Accessing Analytics

1. Navigate to Analytics

   From your organization dashboard, click on Analytics in the left sidebar.

2. Select Time Range

   Use the date picker in the top-right corner to select the desired time period for analysis.

3. View Dashboard

   The main dashboard displays key metrics and visualizations of your AI assistants' performance.

Key Performance Metrics

Usage Metrics

Quality Metrics

Performance Metrics

Conversation Analytics

The Conversation Analytics section provides detailed insights into user interactions with your AI assistants.

Conversation List

View a complete list of conversations:

1. Go to the Conversations tab
2. Browse through all conversations with details such as:
   • Start time
   • Duration
   • Number of messages
   • User satisfaction
   • Knowledge bases accessed
   • Platform (website, Discord, etc.)

Conversation Details

Analyze individual conversations in depth:

1. Click on any conversation in the list
2. View the complete message exchange
3. See which knowledge chunks were retrieved for each response
4. Review user feedback if provided
5. Analyze conversation flow and identify potential improvements

Knowledge Base Insights

Understand how effectively your knowledge bases are serving user needs.

Top Performing Content

Identify your most valuable knowledge content:

1. Go to the Knowledge Insights tab
2. View the Top Content section
3. See which knowledge chunks are most frequently used in responses
4. Analyze which sources provide the most helpful information

Knowledge Gaps

Identify areas where your knowledge bases need improvement:

1. Go to the Knowledge Gaps tab
2. View questions that:
   • Received low confidence scores
   • Had no relevant knowledge chunks
   • Received negative user feedback
3. Use these insights to expand and improve your knowledge bases

Source Performance

Evaluate the effectiveness of different knowledge sources:

1. Go to the Sources tab
2. View metrics for each knowledge source:
   • Usage frequency
   • User satisfaction
   • Retrieval quality
3. Identify which sources are most valuable and which may need improvement

Query Analysis

Gain insights into what users are asking and how well your AI assistants are responding.

Popular Topics

Identify frequently asked topics:

1. Go to the Queries tab
2. View the Topics section
3. See clusters of related questions
4. Analyze topic trends over time

Query Patterns

Understand patterns in user queries:

1. Go to the Query Patterns section
2. View analysis of:
   • Question types (how, what, why, etc.)
   • Query length distribution
   • Time-of-day patterns
   • Common keywords

Export and Reporting

Data Export

Export analytics data for further analysis:

1. Go to the desired analytics section
2. Click the Export button
3. Choose your preferred format:
   • CSV
   • Excel
   • JSON
4. Download the file

Scheduled Reports

Set up automatic analytics reports:

1. Go to Settings → Reports
2. Click Create Report
3. Configure:
   • Report name
   • Frequency (daily, weekly, monthly)
   • Recipients
   • Metrics to include
4. Click Save to activate

Best Practices

• Regular review: Set aside time weekly or monthly to review analytics
• Look for patterns: Identify recurring issues or popular topics
• Compare time periods: Track improvements over time
• Act on insights: Use data to guide knowledge base updates
• Test changes: Measure the impact of changes on key metrics
• Share insights: Distribute reports to relevant stakeholders