diff --git a/documentation/src/main/asciidoc/introduction/Configuration.adoc b/documentation/src/main/asciidoc/introduction/Configuration.adoc
index d1a5e1acf627..478d61e7e75d 100644
--- a/documentation/src/main/asciidoc/introduction/Configuration.adoc
+++ b/documentation/src/main/asciidoc/introduction/Configuration.adoc
@@ -490,7 +490,7 @@ These settings really help when troubleshooting the generated SQL statements.
 | `hibernate.highlight_sql`   | If `true`, log SQL with syntax highlighting via ANSI escape codes
 |===
 
-Alternatively, you can enable debug-level logging for the category `org.hibernate.SQL` using your preferred SLF4J logging implementation.
+Alternatively, you can enable ``DEBUG``-level logging for the category `org.hibernate.SQL` using your preferred SLF4J logging implementation.
 
 For example, if you're using Log4J 2 (as above in <<optional-dependencies>>), add these lines to your `log4j2.properties` file:
 
@@ -507,6 +507,9 @@ logger.jdbc-bind.level=trace
 logger.jdbc-extract.name=org.hibernate.orm.jdbc.extract
 logger.jdbc-extract.level=trace
 
+# JDBC batching
+logger.jdbc-batch.name=org.hibernate.orm.jdbc.batch
+logger.jdbc-batch.level=trace
 ----
 
 SQL logging respects the settings `hibernate.format_sql` and `hibernate.highlight_sql`, so we don't miss out on the pretty formatting and highlighting.
diff --git a/documentation/src/main/asciidoc/introduction/Tuning.adoc b/documentation/src/main/asciidoc/introduction/Tuning.adoc
index 6e5f7144b743..d5dede466acd 100644
--- a/documentation/src/main/asciidoc/introduction/Tuning.adoc
+++ b/documentation/src/main/asciidoc/introduction/Tuning.adoc
@@ -141,6 +141,8 @@ All we need to do is set a single property:
 | link:{doc-javadoc-url}/org/hibernate/cfg/BatchSettings.html#STATEMENT_BATCH_SIZE[`hibernate.jdbc.batch_size`] | Maximum batch size for SQL statement batching | `setJdbcBatchSize()`
 |===
 
+To confirm that statement batching is working, enable ``TRACE``-level logging for the category `org.hibernate.orm.jdbc.batch`.
+
 That said, batching is rarely the most convenient or most efficient way to update or delete many rows at once.
 
 [TIP]