docs: eval concepts (#663)

Author: madams0013

docs/evaluation/concepts/index.mdx

@@ -139,11 +139,15 @@ Learn [how run pairwise evaluations](/evaluation/how_to_guides/evaluate_pairwise
 
 Each time we evaluate an application on a dataset, we are conducting an experiment.
 An experiment contains the results of running a specific version of your application on the dataset.
+To understand how to use the LangSmith experiment view, see [how to analyze experiment results](/evaluation/how_to_guides/analyze_single_experiment).
+
+![Experiment view](./static/experiment_view.png)
+
 Typically, we will run multiple experiments on a given dataset, testing different configurations of our application (e.g., different prompts or LLMs).
 In LangSmith, you can easily view all the experiments associated with your dataset.
 Additionally, you can [compare multiple experiments in a comparison view](/evaluation/how_to_guides/compare_experiment_results).
 
-![Example](./static/comparing_multiple_experiments.png)
+![Comparison view](./static/comparison_view.png)
 
 ## Annotation queues
 
@@ -191,7 +195,7 @@ Often these are triggered when you are making app updates (e.g. updating models
 LangSmith's comparison view has native support for regression testing, allowing you to quickly see examples that have changed relative to the baseline.
 Regressions are highlighted red, improvements green.
 
-![Regression](./static/regression.png)
+![Comparison view](./static/comparison_view.png)
 
 ### Backtesting