diff --git a/CHANGELOG.md b/CHANGELOG.md
index 55254359c..eaab28ab3 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -9,6 +9,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Simulation user guide
 - Example for transfer learning backtest utility
 - `pyupgrade` pre-commit hook
+- Better human readable `__str__` representation of objective and targets
 
 ### Changed
 - More detailed and sophisticated search space user guide
diff --git a/baybe/objective.py b/baybe/objective.py
index 79d500acb..d8574477c 100644
--- a/baybe/objective.py
+++ b/baybe/objective.py
@@ -51,6 +51,21 @@ class Objective(SerialMixin):
     )
     """The function used to combine the different targets."""
 
+    def __str__(self) -> str:
+        start_bold = "\033[1m"
+        end_bold = "\033[0m"
+
+        # Convert the targets list to a dataframe to have a tabular output
+        targets_list = [target.summary() for target in self.targets]
+        targets_df = pd.DataFrame(targets_list)
+        targets_df["Weight"] = self.weights
+
+        objective_str = f"""{start_bold}Objective{end_bold}
+        \n{start_bold}Mode: {end_bold}{self.mode}
+        \n{start_bold}Targets {end_bold}\n{targets_df}
+        \n{start_bold}Combine Function: {end_bold}{self.combine_func}"""
+        return objective_str.replace("\n", "\n ")
+
     @weights.default
     def _default_weights(self) -> list[float]:
         """Create the default weights."""
diff --git a/baybe/parameters/base.py b/baybe/parameters/base.py
index 7f0747515..a968ed026 100644
--- a/baybe/parameters/base.py
+++ b/baybe/parameters/base.py
@@ -52,6 +52,9 @@ def is_in_range(self, item: Any) -> bool:
     def summary(self) -> dict:
         """Return a custom summarization of the parameter."""
 
+    def __str__(self) -> str:
+        return str(self.summary())
+
 
 @define(frozen=True, slots=False)
 class DiscreteParameter(Parameter, ABC):
diff --git a/baybe/searchspace/core.py b/baybe/searchspace/core.py
index 8d3f8ce8a..92b9d6f94 100644
--- a/baybe/searchspace/core.py
+++ b/baybe/searchspace/core.py
@@ -71,10 +71,16 @@ class SearchSpace(SerialMixin):
     def __str__(self) -> str:
         start_bold = "\033[1m"
         end_bold = "\033[0m"
-        searchspace_str = f"""{start_bold}Search Space{end_bold}
-        \n{start_bold}Search Space Type: {end_bold}{self.type.name}
-        \n{self.discrete}
-        \n{self.continuous}"""
+        head_str = f"""{start_bold}Search Space{end_bold}
+        \n{start_bold}Search Space Type: {end_bold}{self.type.name}"""
+
+        # Check the sub space size to avoid adding unwanted break lines
+        # if the sub space is empty
+        discrete_str = f"\n\n{self.discrete}" if not self.discrete.is_empty else ""
+        continuous_str = (
+            f"\n\n{self.continuous}" if not self.continuous.is_empty else ""
+        )
+        searchspace_str = f"{head_str}{discrete_str}{continuous_str}"
         return searchspace_str.replace("\n", "\n ").replace("\r", "\r ")
 
     def __attrs_post_init__(self):
diff --git a/baybe/targets/base.py b/baybe/targets/base.py
index f3b85ef5e..612d15f1e 100644
--- a/baybe/targets/base.py
+++ b/baybe/targets/base.py
@@ -37,6 +37,13 @@ def transform(self, data: pd.DataFrame) -> pd.DataFrame:
             A dataframe containing the transformed data.
         """
 
+    @abstractmethod
+    def summary(self) -> dict:
+        """Return a custom summarization of the target."""
+
+    def __str__(self) -> str:
+        return str(self.summary())
+
 
 def _add_missing_type_hook(hook):
     """Adjust the structuring hook such that it auto-fills missing target types.
diff --git a/baybe/targets/numerical.py b/baybe/targets/numerical.py
index 6c6aece98..1d44eec95 100644
--- a/baybe/targets/numerical.py
+++ b/baybe/targets/numerical.py
@@ -146,3 +146,15 @@ def transform(self, data: pd.DataFrame) -> pd.DataFrame:  # noqa: D102
             transformed = data.copy()
 
         return transformed
+
+    def summary(self) -> dict:  # noqa: D102
+        # See base class.
+        target_dict = dict(
+            Type=self.__class__.__name__,
+            Name=self.name,
+            Mode=self.mode.name,
+            Lower_Bound=self.bounds.lower,
+            Upper_Bound=self.bounds.upper,
+            Transformation=self.transformation.name if self.transformation else "None",
+        )
+        return target_dict