Reporting Results with Checkly

Analyze check performance and export monitoring data with Checkly reporting dashboard

The reporting dashboard provides comprehensive insights into your monitoring performance, including response times, success ratios, and trends across all your checks. Export data for further analysis or create reports for stakeholders.

Dashboard Overview

The reporting dashboard displays your first 15 checks with key performance metrics at a glance. Use this view to:

• Quickly identify underperforming checks
• Monitor trends across your monitoring infrastructure
• Compare performance between different check types
• Spot patterns in success ratios and response times

Filtering and Sorting

Customize your view using the toolbar filters and sorting options:

Date Range

Select the time period for your analysis. The dashboard adjusts data granularity automatically based on your selection.

Check Filters

Filter by:

• Check Type: API, Browser, or Multistep checks
• Check Tags: Filter by tags applied to individual checks
• Check Group Tags: Filter by tags applied to check groups

Sorting Options

Sort your results by:

• Name: Alphabetical order (ASC/DESC)
• Check Type: Group similar check types together (ASC/DESC)

Performance Graphs

Click any check to view detailed performance graphs showing response times and success ratios over your selected time period.

Graph Features

Response Time Metrics: Toggle between average, P95, and P99 response times using the metric pills beside the graph.

Success Ratio: Track the percentage of successful check runs over time.

Dynamic Granularity: Data grouping adjusts automatically based on your date range:

Date Range	Data Grouping
Up to 2 weeks	Hourly
Up to 6 months	Daily
Up to 24 months	Weekly
Up to 48 months	Monthly
Beyond 48 months	Yearly

Data Export

Export your monitoring data for external analysis, reporting, or archival purposes.

CSV Export Process

1. Select Date Range

   Choose the time period for your export using the date range picker.

2. Apply Filters

   Use check type, tags, and other filters to narrow your dataset if needed.

3. Download

   Click Download as CSV in the toolbar to generate your export file.

Export Data Fields

The CSV export includes the following columns:

Field	Description
Name	Check name for identification
Check ID	Unique identifier for the check
Check Type	API, Browser, or Multistep
Success Ratio	Percentage of successful runs
Response Time (Average)	Mean response time
Response Time (P95)	95th percentile response time
Response Time (P99)	99th percentile response time
Check Tags	Applied tags for categorization

All statistics are calculated based on your selected date range. The default range is “Last 24 Hours”.

Best Practices

• Regular exports: Schedule periodic data exports for long-term trend analysis
• Filter strategically: Use tags and groups to create focused reports for different teams
• Monitor P95/P99: Don’t rely only on averages - percentiles reveal user experience reality
• Compare periods: Use date range filtering to compare performance before and after deployments