Visualization
The Visualization page helps you inspect how an experiment is performing as trials are completed. Open it from the experiment detail view under Visualization.
What you can analyze
Visualization works from completed trials in the current experiment. The available views depend on how your targets are configured:

- Convergence is always available and shows how measured trial results compare with the cumulative best result over time.

- Desirability appears when the experiment uses a desirability objective. It shows how the overall desirability score changes across trials.

- Pareto front appears when the experiment has multiple targets and is not using desirability. It helps you compare trade-offs between competing outcomes.
How to use the page
Select targets or parameters
The left side of the page changes based on the active visualization:
- In Convergence and Pareto front, use the target list to choose which targets to display.
- In Desirability, use the parameter sidebar to choose which parameter to inspect.
Use the legend
The legend on the right controls which plotted series are visible:
- In Convergence, you can compare the cumulative best line against individual measurements.
- In Desirability, the legend controls the desirability trend.
- In Pareto front, the legend distinguishes Pareto-optimal points from dominated points.
Click legend items to show or hide them. Double-click a legend item to focus on a single series.
Reading the views
Convergence
Use Convergence to answer:
- Are trial results improving over time?
- Has the experiment already found a strong region?
- Are recent measurements still moving the best-so-far result?
Desirability
Use Desirability when multiple targets are combined into one overall objective. This is useful when you want one score that reflects how well a trial balances all targets together.
Pareto front
Use Pareto front when you want to compare trade-offs directly instead of collapsing them into one score. This is useful when improving one target tends to worsen another and you want to review the alternatives before deciding.
Notes
- Visualization becomes more useful as more trials are completed.
- If no completed trials are available yet, the charts may be empty or have very limited information.
- The available tabs reflect the experiment objective and number of targets, so not every experiment will show all three views.