diff --git a/R/assert_count_true.R b/R/assert_count_true.R
index bd21256..3777931 100644
--- a/R/assert_count_true.R
+++ b/R/assert_count_true.R
@@ -8,6 +8,16 @@
 #'   dplyr::mutate(
 #'     big_values = assert_count_true(A > 2, n = 3)
 #'   )
+#'
+#' my_data <- data.frame(name = c("Bill", "Sam"), birthdate = c("2024-05-22", "2024-05-22"))
+#' my_data |>
+#'   dplyr::mutate(
+#'     birthdate =
+#'       dplyr::case_when(
+#'         assert_count_true(name == "Bill" & birthdate == "2024-05-22") ~ "2024-05-23",
+#'         TRUE ~ birthdate
+#'       )
+#'   )
 #' @export
 assert_count_true <- function(x, n = 1) {
   stopifnot(is.logical(x))
diff --git a/_pkgdown.yml b/_pkgdown.yml
index 965f464..7d96cb0 100644
--- a/_pkgdown.yml
+++ b/_pkgdown.yml
@@ -5,11 +5,11 @@ template:
 
 reference:
 - title: Cleaning data
- 
+
 - subtitle: Cleaning variable names
   contents:
   - contains("clean_names")
-   
+
 - title: Exploring data
   desc: >
     tabyls are an enhanced version of tables. See `vignette("tabyls")`
@@ -19,7 +19,7 @@ reference:
   - starts_with("adorn")
   - contains("tabyl")
   - -contains('.test')
-  
+
 - subtitle: Change order
   contents:
   - row_to_names
@@ -30,6 +30,7 @@ reference:
     Compare data frames columns
   contents:
   - starts_with("compare_df_cols")
+  - assert_count_true
 
 - title: Removing unnecessary columns / rows
   contents:
@@ -38,9 +39,9 @@ reference:
   - get_one_to_one
   - top_levels
   - single_value
-    
+
 - title: Rounding / dates helpers
-  desc: > 
+  desc: >
     Help to mimic some behaviour from Excel or SAS.
     These should be used on vector.
   contents:
diff --git a/man/assert_count_true.Rd b/man/assert_count_true.Rd
index 46db969..c158760 100644
--- a/man/assert_count_true.Rd
+++ b/man/assert_count_true.Rd
@@ -22,4 +22,14 @@ data.frame(A = 1:5) \%>\%
   dplyr::mutate(
     big_values = assert_count_true(A > 2, n = 3)
   )
+
+my_data <- data.frame(name = c("Bill", "Sam"), birthdate = c("2024-05-22", "2024-05-22"))
+my_data |>
+  dplyr::mutate(
+    birthdate =
+      dplyr::case_when(
+        assert_count_true(name == "Bill" & birthdate == "2024-05-22") ~ "2024-05-23",
+        TRUE ~ birthdate
+      )
+  )
 }