Hello, guys! I'm trying to use the episodes table as the base search in the Edit Dashboard view, as well in the Dashboard Classic using the source, but here we already have the results in the table. I'll attach my code snippet below:    { "dataSources": { "dsQueryCounterSearch1": { "options": { "query": "| where AlertSource = AWS and AlertSeverity IN (6,5,4,3,1) | dedup Identifier | stats count as AWS", "queryParameters": { "earliest": "$earliest_time$", "latest": "$latest_time$" } }, "type": "ds.search" }, "mttrSearch": { "options": { "query": "| `itsi_event_management_get_mean_time(resolved)`", "queryParameters": { "earliest": "$earliest_time$", "latest": "$latest_time$" } }, "type": "ds.search" }, "episodesBySeveritySearch": { "options": { "query": "|`itsi_event_management_episode_by_severity`", "queryParameters": { "earliest": "$earliest_time$", "latest": "$latest_time$" } }, "type": "ds.search" }, "noiseReductionSearch": { "options": { "query": "| `itsi_event_management_noise_reduction`", "queryParameters": { "earliest": "$earliest_time$", "latest": "$latest_time$" } }, "type": "ds.search" }, "percentAckSearch": { "options": { "query": "| `itsi_event_management_get_episode_count(acknowledged)` | eval acknowledgedPercent=(Acknowledged/total)*100 | table acknowledgedPercent", "queryParameters": { "earliest": "$earliest_time$", "latest": "$latest_time$" } }, "type": "ds.search" }, "mttaSearch": { "options": { "query": "| `itsi_event_management_get_mean_time(acknowledged)`", "queryParameters": { "earliest": "$earliest_time$", "latest": "$latest_time$" } }, "type": "ds.search" } }, "visualizations": { "vizQueryCounterSearch1": { "title": "Query Counter 1", "type": "splunk.singlevalue", "options": { "backgroundColor": "#ffffff", "sparklineDisplay": "off", "trendDisplay": "off", "trendValue": 0 }, "dataSources": { "primary": "dsQueryCounterSearch1" } }, "episodesBySeverity": { "title": "Episodes by Severity", "type": "splunk.bar", "options": { "backgroundColor": "#ffffff", "barSpacing": 5, "dataValuesDisplay": "all", "legendDisplay": "off", "showYMajorGridLines": false, "yAxisLabelVisibility": "hide", "xAxisMajorTickVisibility": "hide", "yAxisMajorTickVisibility": "hide", "xAxisTitleVisibility": "hide", "yAxisTitleVisibility": "hide" }, "dataSources": { "primary": "episodesBySeveritySearch" } }, "noiseReduction": { "title": "Total Noise Reduction", "type": "splunk.singlevalue", "options": { "backgroundColor": "> majorValue | rangeValue(backgroundColorThresholds)", "numberPrecision": 2, "sparklineDisplay": "off", "trendDisplay": "off", "trendValue": 0, "unit": "%" }, "context": { "backgroundColorThresholds": [ { "from": 95, "value": "#65a637" }, { "from": 90, "to": 95, "value": "#6db7c6" }, { "from": 87, "to": 90, "value": "#f7bc38" }, { "from": 85, "to": 87, "value": "#f58f39" }, { "to": 85, "value": "#d93f3c" } ] }, "dataSources": { "primary": "noiseReductionSearch" } }, "percentAck": { "title": "Episodes Acknowledged", "type": "splunk.singlevalue", "options": { "backgroundColor": "#ffffff", "numberPrecision": 2, "sparklineDisplay": "off", "trendDisplay": "off", "trendValue": 0, "unit": "%" }, "dataSources": { "primary": "percentAckSearch" } }, "mtta": { "title": "Mean Time to Acknowledged", "type": "splunk.singlevalue", "options": { "backgroundColor": "#ffffff", "sparklineDisplay": "off", "trendDisplay": "off", "trendValue": 0, "unit": "minutes" }, "dataSources": { "primary": "mttaSearch" } } }, "layout": { "type": "grid", "options": { "display": "auto-scale", "height": 240, "width": 1440 }, "structure": [ { "item": "vizQueryCounterSearch1", "type": "block", "position": { "x": 0, "y": 80, "w": 288, "h": 220 } }, { "item": "episodesBySeverity", "type": "block", "position": { "x": 288, "y": 80, "w": 288, "h": 220 } }, { "item": "noiseReduction", "type": "block", "position": { "x": 576, "y": 80, "w": 288, "h": 220 } }, { "item": "percentAck", "type": "block", "position": { "x": 864, "y": 80, "w": 288, "h": 220 } }, { "item": "mtta", "type": "block", "position": { "x": 1152, "y": 80, "w": 288, "h": 220 } } ] } }       I really appreciate your help, have a great day 🙂 ... View more