diff --git a/libs/utils/wa_results_collector.py b/libs/utils/wa_results_collector.py
index 77474b7b6362c0e3b1e90d71499c997461b2db6c..a1a4eeaaf8305afa50f59f85ce2d5a6d4ad9864d 100644
--- a/libs/utils/wa_results_collector.py
+++ b/libs/utils/wa_results_collector.py
@@ -23,6 +23,7 @@ import pandas as pd
 import subprocess
 import logging
 import warnings
+import sqlite3
 
 from scipy.stats import ttest_ind
 import matplotlib.cm as cm
@@ -254,6 +255,10 @@ class WaResultsCollector(object):
                 # If not, some workloads have a 'test' workload_parameter, try
                 # using that
                 test = job['workload_parameters']['test']
+            elif 'test_ids' in job['workload_parameters']:
+                # If not, some workloads have a 'test_ids' workload_parameter, try
+                # using that
+                test = job['workload_parameters']['test_ids']
             else:
                 # Otherwise just use the workload name.
                 # This isn't ideal because it means the results from jobs with
@@ -446,6 +451,14 @@ class WaResultsCollector(object):
             df.loc[:, 'metric'] = 'frame_total_duration'
             df.loc[:, 'units'] = 'ms'
 
+            extra_metric_list.append(df)
+        elif 'jankbench-results' in artifacts:
+            con = sqlite3.connect(artifacts['jankbench-results'])
+            df = pd.read_sql_query("SELECT _id, name, run_id, iteration, total_duration, jank_frame from ui_results", con)
+            df = pd.DataFrame({'value': df['total_duration']})
+            df.loc[:, 'metric'] = 'frame_total_duration'
+            df.loc[:, 'units'] = 'ms'
+
             extra_metric_list.append(df)
 
         # WA's metrics model just exports overall energy metrics, not individual