diff --git a/DESCRIPTION b/DESCRIPTION
index 04e16da1..7cb6bd80 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: tune
 Title: Tidy Tuning Tools
-Version: 1.3.0.9000
+Version: 1.3.0.9001
 Authors@R: c(
     person("Max", "Kuhn", , "max@posit.co", role = c("aut", "cre"),
            comment = c(ORCID = "0000-0003-2402-136X")),
diff --git a/NAMESPACE b/NAMESPACE
index 7b1e69c8..4f58e16e 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -71,6 +71,7 @@ S3method(outcome_names,recipe)
 S3method(outcome_names,terms)
 S3method(outcome_names,tune_results)
 S3method(outcome_names,workflow)
+S3method(outcome_names,workflow_variables)
 S3method(parameters,model_spec)
 S3method(parameters,recipe)
 S3method(parameters,workflow)
diff --git a/NEWS.md b/NEWS.md
index 2cfe791c..b8367510 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -4,6 +4,8 @@
 
 * Post-processing: new `schedule_grid()` for scheduling a grid including post-processing (#988).
 
+* Added a new method for `outcome_names()` for workflows that use `add_variables()` (#993). 
+
 # tune 1.3.0
 
 * The package will now warn when parallel processing has been enabled with foreach but not with future. See [`?parallelism`](https://tune.tidymodels.org/dev/reference/parallelism.html) to learn more about transitioning your code to future (#878, #866). The next version of tune will move to a pure future implementation. 
diff --git a/R/outcome-names.R b/R/outcome-names.R
index ad1e761e..2a9abe60 100644
--- a/R/outcome-names.R
+++ b/R/outcome-names.R
@@ -1,7 +1,9 @@
 #' Determine names of the outcome data in a workflow
 #'
 #' @param x An object.
-#' @param ... Not used.
+#' @param ... Further arguments passed to or from other methods (such as `data`).
+#' @param data The training set data (if needed).
+#' @param call The call to be displayed in warnings or errors.
 #' @return A character string of variable names
 #' @keywords internal
 #' @examples
@@ -39,20 +41,39 @@ outcome_names.recipe <- function(x, ...) {
 
 #' @export
 #' @rdname outcome_names
-outcome_names.workflow <- function(x, ...) {
-  if (!is.null(x$fit$fit)) {
+outcome_names.workflow <- function(x, ..., call = caller_env()) {
+  if (!is.null(x$pre$mold)) {
     y_vals <- extract_mold(x)$outcomes
     res <- colnames(y_vals)
   } else {
     preprocessor <- extract_preprocessor(x)
-    res <- outcome_names(preprocessor)
+    res <- outcome_names(preprocessor, ..., call = call)
   }
   res
 }
 
 #' @export
 #' @rdname outcome_names
-outcome_names.tune_results <- function(x, ...) {
+outcome_names.workflow_variables <- function(
+	x,
+	data = NULL,
+	...,
+	call = caller_env()
+) {
+	if (is.null(data)) {
+		cli::cli_abort(
+			"To determine the outcome names when {.fn add_variables} is used, please
+       pass the training set data to the {.arg data} argument.",
+			call = call
+		)
+	}
+	res <- rlang::eval_tidy(x$outcomes, data, env = call)
+	res
+}
+
+#' @export
+#' @rdname outcome_names
+outcome_names.tune_results <- function(x, ..., call = caller_env()) {
   att <- attributes(x)
   if (any(names(att) == "outcomes")) {
     res <- att$outcomes
diff --git a/man/outcome_names.Rd b/man/outcome_names.Rd
index 1066d9aa..2639096b 100644
--- a/man/outcome_names.Rd
+++ b/man/outcome_names.Rd
@@ -6,6 +6,7 @@
 \alias{outcome_names.formula}
 \alias{outcome_names.recipe}
 \alias{outcome_names.workflow}
+\alias{outcome_names.workflow_variables}
 \alias{outcome_names.tune_results}
 \title{Determine names of the outcome data in a workflow}
 \usage{
@@ -17,14 +18,18 @@ outcome_names(x, ...)
 
 \method{outcome_names}{recipe}(x, ...)
 
-\method{outcome_names}{workflow}(x, ...)
+\method{outcome_names}{workflow}(x, ..., call = caller_env())
 
-\method{outcome_names}{tune_results}(x, ...)
+\method{outcome_names}{workflow_variables}(x, data = NULL, ..., call = caller_env())
+
+\method{outcome_names}{tune_results}(x, ..., call = caller_env())
 }
 \arguments{
 \item{x}{An object.}
 
-\item{...}{Not used.}
+\item{...}{Further arguments passed to or from other methods (such as \code{data}).}
+
+\item{data}{The training set data (if needed).}
 }
 \value{
 A character string of variable names
diff --git a/tests/testthat/_snaps/outcome-names.md b/tests/testthat/_snaps/outcome-names.md
new file mode 100644
index 00000000..f9eba55d
--- /dev/null
+++ b/tests/testthat/_snaps/outcome-names.md
@@ -0,0 +1,8 @@
+# workflows + variables
+
+    Code
+      outcome_names(wflow_1)
+    Condition
+      Error:
+      ! To determine the outcome names when `add_variables()` is used, please pass the training set data to the `data` argument.
+
diff --git a/tests/testthat/test-outcome-names.R b/tests/testthat/test-outcome-names.R
index d1c66f36..029009c2 100644
--- a/tests/testthat/test-outcome-names.R
+++ b/tests/testthat/test-outcome-names.R
@@ -95,6 +95,19 @@ test_that("workflows + formulas", {
   expect_equal(outcome_names(parsnip::fit(wflow_2, mtcars)), c("mpg", "wt"))
 })
 
+## -----------------------------------------------------------------------------
+
+test_that("workflows + variables", {
+  lm_mod <- parsnip::linear_reg() %>% parsnip::set_engine("lm")
+  wflow <- workflow() %>% add_model(lm_mod)
+
+  wflow_1 <- wflow %>% add_variables(outcomes = "mpg", predictors = c(wt))
+  fit_1 <- fit(wflow_1, mtcars)
+
+  expect_snapshot(outcome_names(wflow_1), error = TRUE)
+  expect_equal(outcome_names(wflow_1, mtcars), "mpg")
+  expect_equal(outcome_names(fit_1, mtcars), "mpg")
+})
 
 ## -----------------------------------------------------------------------------