Augmented analysis
NeoLoad Web augmented analysis uses machine learning to segment a test result into time intervals and assign key insights to each segment. It's especially useful when you're analyzing a long test run or comparing behavior across versions.
Before you start
You can add intervals in three ways: use augmented analysis to detect anomalies and bottlenecks using performance metrics and virtual user load, use VU pattern analysis to focus exclusively on virtual user load patterns, or use Custom intervals to analyze specific time ranges you define manually.
When you run augmented analysis, NeoLoad Web automatically performs these actions:
-
Splits the test result into intervals based on the selected mode.
-
Adds descriptions that explain system behavior in each interval.
-
Highlights performance changes with color-coded segments.
-
Displays intervals on dedicated charts based on analysis type.
Add intervals
To add intervals to a test result:
-
Go to the Overview tab of a test result.
-
Select Add interval.
-
Choose one of the available options:
-
Augmented analysis - Automatically detects anomalies and bottlenecks using response time, errors, and throughput metrics combined with virtual user load.
-
VU pattern analysis - Automatically detects load phases based on virtual user patterns.
-
Custom interval - Creates an interval manually for specific time ranges you want to analyze.
-
NeoLoad Web generates intervals and displays them as colored blocks on the timeline. Each ML-based analysis mode can only run once per test result. The button for each mode becomes disabled after you run it and remains disabled until you delete all intervals of that type.
Understand interval colors
NeoLoad Web uses color-coding to help you quickly identify performance patterns:
-
Green: Healthy system behavior.
-
Red: Performance degradation.
-
Blue: Neutral or baseline behavior.
Hover over any interval to see a tooltip with details about what's happening during that time period.
View intervals on charts
NeoLoad Web displays intervals on two separate charts based on the analysis type:
-
The first chart shows VU pattern analysis intervals and custom intervals.
-
The second chart shows Augmented analysis intervals.
For finished tests, the second chart includes a red line that shows request errors over time. This line doesn't appear for tests that are still running.
Review interval details
Below the charts, you'll find the intervals table with detailed information about each interval. The table includes:
-
Type: Shows whether the interval was generated by Augmented analysis, VU pattern analysis, or created as a custom interval.
-
Color indicator: Displays the interval's color for quick visual reference.
-
Summary label and contributing factors: Describes system behavior, such as increasing user load, rising error rates, slower request durations, or reduced requests per second.
Use these insights to pinpoint performance regressions, validate improvements, or understand how your system behaves under different load conditions.
Get more from your results
Augmented analysis can make your testing workflow more efficient in several ways:
-
Save time by automating the most time-consuming part of results analysis.
-
Spot issues faster by identifying patterns, anomalies, and bottlenecks.
-
Collaborate better with clear, interval-based insights your whole team can understand.
-
Speed up onboarding by helping new testers understand test behavior at a glance.
-
Track progress over time by comparing intervals across test runs.
Tip: You can also use augmented analysis when comparing test results against a baseline. This helps you detect regressions or confirm improvements across versions.