diff --git a/tests/testthat/test-class-forecast-quantile.R b/tests/testthat/test-class-forecast-quantile.R
index 46daaa9b..3711cf05 100644
--- a/tests/testthat/test-class-forecast-quantile.R
+++ b/tests/testthat/test-class-forecast-quantile.R
@@ -302,7 +302,10 @@ test_that("score() works even if only some quantiles are missing", {
 
   # asymmetric intervals
   asymm <- example_quantile[!quantile_level > 0.6]
-  metrics <- get_metrics(example_quantile)
+  metrics <- get_metrics(
+    example_quantile,
+    exclude = c("overprediction", "underprediction", "dispersion")
+  )
   metrics$wis <- purrr::partial(wis, na.rm = TRUE)
   expect_warning(
     expect_warning(
diff --git a/tests/testthat/test-class-forecast.R b/tests/testthat/test-class-forecast.R
index 3054c3fe..74fe1972 100644
--- a/tests/testthat/test-class-forecast.R
+++ b/tests/testthat/test-class-forecast.R
@@ -146,11 +146,14 @@ test_that("print() works on forecast_* objects", {
 test_that("print() throws the expected messages", {
   test <- data.table::copy(example_point)
   class(test) <- c("point", "forecast", "data.table", "data.frame")
-  suppressMessages(
-    expect_message(
-      capture.output(print(test)),
-      "Could not determine forecast type due to error in validation."
-    )
+  expect_warning(
+    suppressMessages(
+      expect_message(
+        capture.output(print(test)),
+        "Could not determine forecast type due to error in validation."
+      )
+    ),
+    "Error in validating"
   )
 
   class(test) <- c("forecast_point", "forecast")
@@ -216,3 +219,4 @@ test_that("removing NA rows from data works as expected", {
     attributes
   )
 })
+