diff --git a/R/extract-feedback-types.R b/R/extract-feedback-types.R
new file mode 100644
index 0000000..a61cf76
--- /dev/null
+++ b/R/extract-feedback-types.R
@@ -0,0 +1,74 @@
+#' Extract the quantitative responses from the feedback survey.
+#'
+#' @name extract_feedback
+#' @rdname extract_feedback
+#' @param data The feedback data.
+#'
+#' @return A tibble.
+#'
+NULL
+
+#' @describeIn extract_feedback Extract and tidy up the quantitative responses
+#'   from the feedback survey data.
+#' @export
+extract_feedback_quantitative <- function(data) {
+  data %>%
+    dplyr::filter(stringr::str_detect(question, "Please complete these .*")) %>%
+    dplyr::mutate(
+      statement = stringr::str_remove(question, "Please .* course. ") %>%
+        stringr::str_remove_all("\\[|\\]")
+    ) %>%
+    dplyr::select(tidyselect::all_of(c(
+      "course_version", "date", "statement", "response"
+    ))) |>
+    dplyr::count(course_version, date, statement, response) |>
+    dplyr::arrange(course_version, date)
+}
+
+#' @describeIn extract_feedback Extract and tidy up the overall comments
+#'   from the feedback survey data.
+#' @export
+extract_feedback_overall <- function(data) {
+  data %>%
+    dplyr::filter(stringr::str_detect(
+      question,
+      ".*any other (feedback|comments) .*"
+    )) %>%
+    dplyr::rename(overall_comments = response) %>%
+    dplyr::select(-question, -id, -day) %>%
+    dplyr::filter(stringr::str_detect(
+      overall_comments,
+      "^No$",
+      negate = TRUE
+    )) %>%
+    dplyr::arrange(course_version, date)
+}
+
+#' @describeIn extract_feedback Extract and tidy up the session specific
+#'   comments from the feedback survey data.
+#' @export
+extract_feedback_sessions <- function(data) {
+  data %>%
+    dplyr::filter(stringr::str_detect(question,
+      "Please complete these .*|any other (feedback|comments) .*",
+      negate = TRUE
+    )) %>%
+    dplyr::mutate(question = question %>%
+      stringr::str_remove_all('What|session|\\"|\\?') %>%
+      stringr::str_trim()) %>%
+    tidyr::separate(
+      col = question,
+      into = c("worked_or_improve", "session"),
+      sep = "for the"
+    ) %>%
+    dplyr::mutate(
+      worked_or_improve = snakecase::to_snake_case(worked_or_improve),
+      session = stringr::str_trim(session)
+    ) %>%
+    tidyr::pivot_wider(
+      names_from = worked_or_improve,
+      values_from = response
+    ) %>%
+    dplyr::select(-id) %>%
+    dplyr::arrange(course_version, date, day, session)
+}
diff --git a/R/get-feedback-survey.R b/R/get-feedback-survey.R
index a3f0d9a..bf9822c 100644
--- a/R/get-feedback-survey.R
+++ b/R/get-feedback-survey.R
@@ -132,80 +132,3 @@ remove_newlines <- function(data, col) {
       ~ stringr::str_remove_all(.x, pattern = "\n")
     ))
 }
-
-# Extract types of feedback -----------------------------------------------
-
-#' Extract the quantitative responses from the feedback survey.
-#'
-#' @name extract_feedback
-#' @rdname extract_feedback
-#' @param data The feedback data.
-#'
-#' @return A tibble.
-#'
-NULL
-
-#' @describeIn extract_feedback Extract and tidy up the quantitative responses
-#'   from the feedback survey data.
-#' @export
-extract_feedback_quantitative <- function(data) {
-  data %>%
-    dplyr::filter(stringr::str_detect(question, "Please complete these .*")) %>%
-    dplyr::mutate(
-      statement = stringr::str_remove(question, "Please .* course. ") %>%
-        stringr::str_remove_all("\\[|\\]")
-    ) %>%
-    dplyr::select(tidyselect::all_of(c(
-      "course_version", "date", "statement", "response"
-    ))) |>
-    dplyr::count(course_version, date, statement, response) |>
-    dplyr::arrange(course_version, date)
-}
-
-#' @describeIn extract_feedback Extract and tidy up the overall comments
-#'   from the feedback survey data.
-#' @export
-extract_feedback_overall <- function(data) {
-  data %>%
-    dplyr::filter(stringr::str_detect(
-      question,
-      ".*any other (feedback|comments) .*"
-    )) %>%
-    dplyr::rename(overall_comments = response) %>%
-    dplyr::select(-question, -id, -day) %>%
-    dplyr::filter(stringr::str_detect(
-      overall_comments,
-      "^No$",
-      negate = TRUE
-    )) %>%
-    dplyr::arrange(course_version, date)
-}
-
-#' @describeIn extract_feedback Extract and tidy up the session specific
-#'   comments from the feedback survey data.
-#' @export
-extract_feedback_sessions <- function(data) {
-  data %>%
-    dplyr::filter(stringr::str_detect(question,
-      "Please complete these .*|any other (feedback|comments) .*",
-      negate = TRUE
-    )) %>%
-    dplyr::mutate(question = question %>%
-      stringr::str_remove_all('What|session|\\"|\\?') %>%
-      stringr::str_trim()) %>%
-    tidyr::separate(
-      col = question,
-      into = c("worked_or_improve", "session"),
-      sep = "for the"
-    ) %>%
-    dplyr::mutate(
-      worked_or_improve = snakecase::to_snake_case(worked_or_improve),
-      session = stringr::str_trim(session)
-    ) %>%
-    tidyr::pivot_wider(
-      names_from = worked_or_improve,
-      values_from = response
-    ) %>%
-    dplyr::select(-id) %>%
-    dplyr::arrange(course_version, date, day, session)
-}