Dashboards

Dashboards in the OuterBox AI Observability platform provide a visual overview of your P3 AI Web Assistant's performance and usage. They offer at-a-glance insights that help you understand how customers are interacting with your assistant and how well it's performing.

What You'll Find in Dashboards

The Dashboards section displays key metrics and visualizations including:

• Usage Statistics: See how many conversations are happening with your assistant daily, weekly, or monthly
• Response Times: Monitor how quickly your assistant is responding to customer inquiries
• Popular Topics: Discover what topics or products customers are asking about most frequently
• User Satisfaction: Track feedback scores and ratings from users
• Error Rates: Identify when and where your assistant might be struggling to provide helpful responses

How to Use Dashboards Effectively

Viewing Different Time Periods

1. Use the date range selector at the top of the dashboard to adjust the time period you want to analyze
2. Compare current performance with previous periods to identify trends or changes

Filtering Dashboard Data

1. Apply filters to focus on specific aspects of your assistant's performance
2. Filter by user types, question categories, or specific product inquiries
3. Save custom filter combinations for regular monitoring of specific metrics

Creating Custom Views

The dashboard interface allows you to customize your view to focus on the metrics that matter most to your business:

1. Click the "Customize" button in the top right corner of the dashboard
2. Select which metrics and charts you want to display
3. Arrange them in your preferred layout
4. Save your custom dashboard for future use

Setting Up Alerts

You can configure alerts to notify you when certain metrics exceed or fall below thresholds:

1. Click on the "Alerts" tab in the dashboard
2. Select the metric you want to monitor
3. Set your threshold values
4. Choose your notification method (email, etc.)

Best Practices for Using Dashboards

• Regular Review: Check your dashboards at least weekly to stay informed about your assistant's performance
• Share Insights: Export dashboard reports to share with your team or stakeholders
• Look for Patterns: Pay attention to trends over time rather than focusing on individual data points
• Act on Insights: Use dashboard data to guide improvements to your assistant's training and configuration

Dashboard Examples

• Overview Dashboard: Shows high-level metrics across all assistant interactions
• User Experience Dashboard: Focuses on satisfaction scores and response quality
• Product Interest Dashboard: Highlights which products are generating the most inquiries
• Performance Dashboard: Concentrates on technical metrics like response times and error rates

The Dashboards section is your starting point for understanding how your P3 AI Web Assistant is performing and identifying opportunities for improvement.