Key takeaways
- Notes capture why a run looked the way it did, which raw metrics never record.
- Write the note at the time. The context is gone within a week.
- They make historical comparison useful, since you know what changed between runs.
We’ve added the functionality to add notes to your load test results. This functionality applies to Load Tests and JMeter Load Tests.

It’s super simple to add/edit/remove notes for any of the test runs of the same test in order to caption various changes of your test runs. You can easily compare any test run with a baseline.
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Adding Notes
Simply go to the results of a load test, and click the Notes tab.

From there click Add Note button and you can add a note title and description.
The note is attached to the test name under the current test run id.
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The full list of notes, for all test runs are displayed under the Notes tab.

Same notes functionality is available for load tests and JMeter load test.
Editing Notes
Click the Edit icon next to an already added note to open the modal which allows to make changes to the current note.
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Click the Edit Note button and the note will be updated.
Removing Notes
Click on the Remove Note button next to an already added note in order to remove the note. All removed notes will be deleted forever.

Written by Bogdan Vazzolla.
LoadFocus is a cloud testing platform, a load and stress testing tool which provides the infrastructure to run tests with thousands of concurrent users, from multiple cloud locations, in less than a few minutes, keep history of the results, compare different runs to inspect performance improvements or performance degradation. It also supports running JMeter load tests from the cloud and monitoring and audit web and mobile performance.
Frequently Asked Questions
What are notes on a test run for?
Recording why a run looked the way it did. Metrics capture what happened but never why, and a note is where the deploy, the config change or the incident gets attached to the numbers.
When should I write the note?
At the time of the run. The context is gone within a week, and a result you cannot explain later is close to useless when comparing against it.
How does this help later?
It makes historical comparison meaningful. Comparing a run against a baseline only tells you something if you know what changed between them.