diff --git a/haystack/pipelines/base.py b/haystack/pipelines/base.py
index 3d1fa7e25..fdfe07149 100644
--- a/haystack/pipelines/base.py
+++ b/haystack/pipelines/base.py
@@ -413,8 +413,25 @@ class Pipeline(BasePipeline):
                                                 sas_model_name_or_path=sas_model_name_or_path)
                     df["sas"] = sas
 
+        # reorder columns for better qualitative evaluation
+        for key, df in eval_result.node_results.items():
+            desired_col_order = ["query", # generic
+                                "gold_answers", "answer", "context", "exact_match", "f1", "sas", # answer-specific
+                                "gold_document_contents", "content", "gold_id_match", "answer_match", "gold_id_or_answer_match", # doc-specific
+                                "rank", "document_id", "gold_document_ids", # generic
+                                "offsets_in_document", "gold_offsets_in_documents", # answer-specific
+                                "type", "node", "node_input"] # generic
+            eval_result.node_results[key] = self._reorder_columns(df, desired_col_order)
+
         return eval_result
 
+    def _reorder_columns(self, df: DataFrame, desired_order: List[str]) -> DataFrame:
+        filtered_order = [col for col in desired_order if col in df.columns]
+        missing_columns = [col for col in df.columns if col not in desired_order]
+        reordered_columns = filtered_order + missing_columns
+        assert len(reordered_columns) == len(df.columns)
+        return df.reindex(columns=reordered_columns)
+
     def _build_eval_dataframe(self, 
         query: str, 
         query_labels: MultiLabel,