Echtzeit-Teilnehmer-Engagement- und Feedback-Analysator
Dies ist ein Market Research, AI Summarization-Bereich Automatisierungsworkflow mit 14 Nodes. Hauptsächlich werden If, Set, Slack, Webhook, Aggregate und andere Nodes verwendet. Feedback-Kampagnen mit Sentiment-Analyse, Google Sheets, Slack und E-Mail-Analyse analysieren
- •Slack Bot Token oder Webhook URL
- •HTTP Webhook-Endpunkt (wird von n8n automatisch generiert)
- •Google Sheets API-Anmeldedaten
Verwendete Nodes (14)
Kategorie
{
"id": "EmfkoUHC2bSeoWb4",
"meta": {
"instanceId": "dd69efaf8212c74ad206700d104739d3329588a6f3f8381a46a481f34c9cc281",
"templateCredsSetupCompleted": true
},
"name": "Real-Time Attendee Engagement & Feedback Analyzer",
"tags": [],
"nodes": [
{
"id": "d1d5d86f-4051-4a37-a530-6eb74cba5ef4",
"name": "Notizzettel1",
"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"color": 4,
"width": 368,
"height": 392,
"content": "## 📊 DATA COLLECTION\nCollects feedback through:\n- Webhook submissions\n- Live poll responses\n- Session ratings\n- Attendee comments"
},
"typeVersion": 1
},
{
"id": "dfc65343-c894-422a-a4f4-52635e612947",
"name": "Notizzettel2",
"type": "n8n-nodes-base.stickyNote",
"position": [
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-160
],
"parameters": {
"color": 5,
"width": 192,
"height": 392,
"content": "## 🔍 ANALYSIS ENGINE\nProcesses feedback data:\n- Sentiment analysis\n- Rating aggregation\n- Keyword extraction\n- Trend identification"
},
"typeVersion": 1
},
{
"id": "e37ce7a7-09c8-4b4f-aeef-088e5cc27b22",
"name": "Notizzettel3",
"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"width": 720,
"height": 904,
"content": "## 📈 INSIGHTS & DELIVERY\nGenerates and distributes:\n- Real-time dashboards\n- Organizer notifications\n- Summary reports\n- Action recommendations"
},
"typeVersion": 1
},
{
"id": "856e30ac-16a2-40b2-a058-19be10325285",
"name": "Webhook Trigger",
"type": "n8n-nodes-base.webhook",
"position": [
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64
],
"webhookId": "feedback-analyzer",
"parameters": {
"path": "feedback-submission",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 1
},
{
"id": "3cc30aeb-a803-43cd-9588-e2510693787d",
"name": "Feedback-Daten extrahieren",
"type": "n8n-nodes-base.set",
"position": [
-1264,
64
],
"parameters": {
"mode": "jsonData",
"options": {}
},
"typeVersion": 3.3
},
{
"id": "89b8c673-faab-405f-84e9-8626bf9508a3",
"name": "Sentiment analysieren",
"type": "n8n-nodes-base.set",
"position": [
-1040,
64
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "sentiment",
"name": "sentiment",
"type": "string",
"value": "={{ $json.feedback_text.toLowerCase().includes('great') || $json.feedback_text.toLowerCase().includes('excellent') || $json.feedback_text.toLowerCase().includes('amazing') ? 'positive' : ($json.feedback_text.toLowerCase().includes('bad') || $json.feedback_text.toLowerCase().includes('poor') || $json.feedback_text.toLowerCase().includes('terrible') ? 'negative' : 'neutral') }}"
},
{
"id": "sentiment_score",
"name": "sentiment_score",
"type": "number",
"value": "={{ $json.feedback_text.toLowerCase().includes('great') || $json.feedback_text.toLowerCase().includes('excellent') || $json.feedback_text.toLowerCase().includes('amazing') ? 1 : ($json.feedback_text.toLowerCase().includes('bad') || $json.feedback_text.toLowerCase().includes('poor') || $json.feedback_text.toLowerCase().includes('terrible') ? -1 : 0) }}"
},
{
"id": "keywords",
"name": "keywords",
"type": "string",
"value": "={{ $json.feedback_text.toLowerCase().split(' ').filter(word => word.length > 5).slice(0, 5).join(', ') }}"
},
{
"id": "overall_score",
"name": "overall_score",
"type": "number",
"value": "={{ ($json.rating * 20 + $json.engagement_score * 10) / 2 }}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "6098e99d-2e3d-438a-be82-aff6f5a20ffd",
"name": "Dringlichkeit prüfen",
"type": "n8n-nodes-base.if",
"position": [
-816,
-128
],
"parameters": {
"options": {},
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": false
},
"combinator": "or",
"conditions": [
{
"id": "urgent",
"operator": {
"type": "number",
"operation": "lte"
},
"leftValue": "={{ $json.rating }}",
"rightValue": "2"
},
{
"id": "negative_sentiment",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.sentiment }}",
"rightValue": "negative"
}
]
}
},
"typeVersion": 2
},
{
"id": "16349786-ae4a-4332-b52e-c253598ca974",
"name": "In Google Sheets protokollieren",
"type": "n8n-nodes-base.googleSheets",
"position": [
-592,
-32
],
"parameters": {
"columns": {
"value": {},
"schema": [],
"mappingMode": "autoMapInputData",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "id",
"value": "1234567890abcdef"
},
"authentication": "serviceAccount"
},
"credentials": {
"googleApi": {
"id": "ScSS2KxGQULuPtdy",
"name": "Google Sheets- test"
}
},
"typeVersion": 4.4
},
{
"id": "ce54e9d6-f662-4b18-9652-80a461f2db0c",
"name": "Feedback aggregieren",
"type": "n8n-nodes-base.aggregate",
"position": [
-816,
256
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "8a190d49-5dd9-40f8-a71f-f7a40fd48355",
"name": "Erkenntnisse berechnen",
"type": "n8n-nodes-base.set",
"position": [
-592,
256
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "total_responses",
"name": "total_responses",
"type": "number",
"value": "={{ $json.data.length }}"
},
{
"id": "avg_rating",
"name": "avg_rating",
"type": "number",
"value": "={{ $json.data.reduce((sum, item) => sum + item.rating, 0) / $json.data.length }}"
},
{
"id": "positive_feedback",
"name": "positive_feedback",
"type": "number",
"value": "={{ $json.data.filter(item => item.sentiment === 'positive').length }}"
},
{
"id": "negative_feedback",
"name": "negative_feedback",
"type": "number",
"value": "={{ $json.data.filter(item => item.sentiment === 'negative').length }}"
},
{
"id": "neutral_feedback",
"name": "neutral_feedback",
"type": "number",
"value": "={{ $json.data.filter(item => item.sentiment === 'neutral').length }}"
},
{
"id": "avg_overall_score",
"name": "avg_overall_score",
"type": "number",
"value": "={{ $json.data.reduce((sum, item) => sum + item.overall_score, 0) / $json.data.length }}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "b6298b5f-f124-4bab-a3c0-6129871253e2",
"name": "Dringende Slack-Benachrichtigung",
"type": "n8n-nodes-base.slack",
"position": [
-592,
-224
],
"webhookId": "85cacdc2-d14c-48d4-8f67-cf52130f3830",
"parameters": {
"text": "=🚨 **URGENT FEEDBACK ALERT**\n\n**Session:** {{ $json.session_name }}\n**Attendee:** {{ $json.attendee_name }}\n**Rating:** {{ $json.rating }}/5 ⭐\n**Sentiment:** {{ $json.sentiment }}\n\n**Feedback:**\n> {{ $json.feedback_text }}\n\n**Action Required:** Please review and respond immediately.",
"user": {
"__rl": true,
"mode": "list",
"value": ""
},
"select": "user",
"otherOptions": {}
},
"credentials": {
"slackApi": {
"id": "MQ0fgwuS8AzfwFvy",
"name": "Slack account - test "
}
},
"typeVersion": 2.1
},
{
"id": "88e5aa40-65fd-4fcb-a14b-eb69a8ce9981",
"name": "Zusammenfassung an Slack",
"type": "n8n-nodes-base.slack",
"position": [
-368,
160
],
"webhookId": "57db30cd-4fe0-4439-9b3c-03c42f638590",
"parameters": {
"text": "=📊 **Real-Time Feedback Summary**\n\n**Total Responses:** {{ $json.total_responses }}\n**Average Rating:** {{ $json.avg_rating.toFixed(2) }}/5 ⭐\n**Overall Score:** {{ $json.avg_overall_score.toFixed(1) }}%\n\n**Sentiment Breakdown:**\n✅ Positive: {{ $json.positive_feedback }} ({{ ($json.positive_feedback / $json.total_responses * 100).toFixed(1) }}%)\n❌ Negative: {{ $json.negative_feedback }} ({{ ($json.negative_feedback / $json.total_responses * 100).toFixed(1) }}%)\n➖ Neutral: {{ $json.neutral_feedback }} ({{ ($json.neutral_feedback / $json.total_responses * 100).toFixed(1) }}%)\n\n_Dashboard updated in real-time_",
"user": {
"__rl": true,
"mode": "list",
"value": ""
},
"select": "user",
"otherOptions": {}
},
"credentials": {
"slackApi": {
"id": "MQ0fgwuS8AzfwFvy",
"name": "Slack account - test "
}
},
"typeVersion": 2.1
},
{
"id": "9268ae4b-be35-473e-b251-abca65efc6d7",
"name": "E-Mail-Bericht an Veranstalter",
"type": "n8n-nodes-base.emailSend",
"position": [
-368,
352
],
"webhookId": "75461868-abdb-4b95-9993-d239d5a0954b",
"parameters": {
"options": {},
"subject": "=Event Feedback Report - {{ $now.format('MMMM dd, yyyy') }}",
"toEmail": "organizers@company.com",
"fromEmail": "events@company.com"
},
"credentials": {
"smtp": {
"id": "G1kyF8cSWTZ4vouN",
"name": "SMTP -test"
}
},
"typeVersion": 2.1
},
{
"id": "238f1d34-04d8-49ba-aba0-a0118ec51c4a",
"name": "Webhook Response",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
-368,
-32
],
"parameters": {
"options": {},
"respondWith": "json",
"responseBody": "={\n \"status\": \"success\",\n \"message\": \"Feedback received and analyzed\",\n \"feedback_id\": \"{{ $json.feedback_id }}\",\n \"sentiment\": \"{{ $json.sentiment }}\",\n \"overall_score\": {{ $json.overall_score }},\n \"thank_you\": \"Thank you for your valuable feedback!\"\n}"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "6a92962e-45cd-4329-9425-dfb4bcc34b6c",
"connections": {
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}
}Wie verwende ich diesen Workflow?
Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.
Für welche Szenarien ist dieser Workflow geeignet?
Fortgeschritten - Marktforschung, KI-Zusammenfassung
Ist es kostenpflichtig?
Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.
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