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diff --git a/docs/product/issues/issue-details/performance-issues/n-one-queries.mdx b/docs/product/issues/issue-details/performance-issues/n-one-queries.mdx
index a1111d564fdc4..e5398b2bc9144 100644
--- a/docs/product/issues/issue-details/performance-issues/n-one-queries.mdx
+++ b/docs/product/issues/issue-details/performance-issues/n-one-queries.mdx
@@ -30,7 +30,9 @@ The evidence for an N+1 Queries problem has four main aspects:
 
 - Transaction name
 - Parent span - This can be a view, a serializer, or another span that logically groups the queries.
+- Preceding span - The last span recorded before the N+1 query spans.
 - Repeating span - This is the "N" of N+1 queries. This is the looped query that should have been part of a bulk query.
+- Waterfall trace view - Shows the relevant sequential, non-overlapping database spans.
 
 ![N+1 Query span evidence](./img/n-plus-one-span-evidence.png)
 
@@ -51,9 +53,7 @@ def books(request):
     return HttpResponse((", ").join(book_list))
 ```
 
-This code has a subtle performance problem. Each call to `book.author.name` makes a query to fetch the book's author. In total, this code makes 11 queries: one query to fetch the list of books, and 10 more queries to fetch the author of each book. This results in a characteristic query span waterfall:
-
-![N+1 queries in an example application](./img/n-plus-one-queries-before.png)
+This code has a subtle performance problem. Each call to `book.author.name` makes a query to fetch the book's author. In total, this code makes 11 queries: one query to fetch the list of books, and 10 more queries to fetch the author of each book. This results in a characteristic query span waterfall.
 
 In order to fix this performance issue, you could use the `select_related` method in Django, like so:
 
@@ -66,9 +66,7 @@ def books(request):
     return HttpResponse((", ").join(book_list))
 ```
 
-Django will `JOIN` the tables ahead of time, and preload the author information. That way, calling `book.author.name` does not need to make an extra query. Instead of a long waterfall, there is a single `SELECT` query:
-
-![Solved N+1 queries in an example application](./img/n-plus-one-queries-after.png)
+Django will `JOIN` the tables ahead of time, and preload the author information. That way, calling `book.author.name` does not need to make an extra query. Instead of a long span waterfall, there is a single `SELECT` query.
 
 N+1s can also happen when modifying data. For example, instead of creating objects in a loop: