16 - InsightMark : Analyse de commentaires pilotée par IA

• •Clé API HubSpot
• •Clé API OpenAI

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  "name": "16 - InsightMark: AI-Powered Review",
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      "name": "Dev",
      "createdAt": "2025-06-17T05:42:41.949Z",
      "updatedAt": "2025-06-17T05:42:41.949Z"
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        "jsCode": "const raw = $input.first().json;\n\nreturn {\n  review_text: raw.Message,\n  customer_name: raw.Name,\n  rating: parseInt(raw.Rating),\n  product_service: raw[\"Product Service\"],\n};"
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              "fieldLabel": "Name",
              "placeholder": "Your Name",
              "requiredField": true
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            {
              "fieldType": "textarea",
              "fieldLabel": "Message",
              "placeholder": "Feedback",
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            {
              "fieldType": "dropdown",
              "fieldLabel": "Rating",
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                "values": [
                  {
                    "option": "1"
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            {
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        "formDescription": "Please Let us know about your concerns"
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      "notes": "AI ANALYSIS: Uses OpenAI GPT-4 to analyze sentiment, categorize feedback, and determine required actions. Adjust temperature for more/less creative responses.",
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            },
            {
              "content": "=Please analyze this customer review:\n\nReview: {{ $json.review_text }}\nCustomer: {{ $json.customer_name }}\nRating: {{ $json.rating }}/5\nProduct/Service: {{ $json.product_service }}"
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      "notes": "DATA PROCESSING: Parses AI response, prepares task data, and sets routing flags. Modify the create_*_task flags to enable/disable integrations.",
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      "parameters": {
        "jsCode": "const aiInput = $input.first().json;\n\n// Extract original form data (passed through from previous nodes)\nconst formData = {\n  review_text: $('🧪 Code').first().json.review_text,\n  customer_name: $('🧪 Code').first().json.customer_name,\n  rating: $('🧪 Code').first().json.rating,\n  product_service: $('🧪 Code').first().json.product_service,\n  review_date: new Date().toISOString()\n};\n\n// Parse AI response - it should be a JSON string\nlet aiResponse = {};\ntry {\n  if (typeof aiInput.response === 'string') {\n    aiResponse = JSON.parse(aiInput.response);\n  } else if (aiInput.response && typeof aiInput.response === 'object') {\n    aiResponse = aiInput.response;\n  } else {\n    aiResponse = aiInput;\n  }\n} catch (error) {\n  console.error('Failed to parse AI response:', error);\n  aiResponse = {\n    sentiment: 'neutral',\n    sentiment_score: 0.5,\n    category: 'unspecified',\n    priority: 'medium',\n    department: 'customer_support',\n    action_required: true,\n    key_insights: ['Failed to analyze review'],\n    suggested_response_tone: 'informative',\n    keywords: [],\n    summary: 'Analysis failed'\n  };\n}\n\n// Safety fallback\nconst sentiment = aiResponse.sentiment ?? 'neutral';\n\n// Construct final processed output (data only)\nconst processedData = {\n  // Original data\n  review_text: formData.review_text,\n  customer_name: formData.customer_name,\n  rating: formData.rating,\n  product_service: formData.product_service,\n  review_date: formData.review_date,\n\n  // Enriched data\n  sentiment,\n  sentiment_score: aiResponse.sentiment_score ?? 0.5,\n  category: aiResponse.category ?? 'unspecified',\n  priority: aiResponse.priority ?? 'medium',\n  department: aiResponse.department ?? 'customer_support',\n  action_required: aiResponse.action_required ?? true,\n  key_insights: aiResponse.key_insights ?? [],\n  suggested_response_tone: aiResponse.suggested_response_tone ?? 'informative',\n  keywords: aiResponse.keywords ?? [],\n  summary: aiResponse.summary ?? '',\n\n  // Computed metadata\n  task_title: `Review Response: ${sentiment.toUpperCase()} - ${formData.customer_name}`,\n  task_description: `Customer Review Analysis\n\nCustomer: ${formData.customer_name}\nRating: ${formData.rating}/5\nSentiment: ${sentiment} (${aiResponse.sentiment_score ?? 'N/A'})\nCategory: ${aiResponse.category ?? 'unspecified'}\nPriority: ${aiResponse.priority ?? 'medium'}\n\nReview: \"${formData.review_text}\"\n\nKey Insights:\n${(aiResponse.key_insights ?? []).map(i => `• ${i}`).join('\\n')}\n\nSuggested Response Tone: ${aiResponse.suggested_response_tone ?? 'informative'}\n\nKeywords: ${(aiResponse.keywords ?? []).join(', ')}`,\n\n  // Due date logic\n  due_date:\n    (aiResponse.priority ?? 'medium') === 'high'\n      ? new Date(Date.now() + 1 * 24 * 60 * 60 * 1000).toISOString()\n      : (aiResponse.priority ?? 'medium') === 'medium'\n      ? new Date(Date.now() + 3 * 24 * 60 * 60 * 1000).toISOString()\n      : new Date(Date.now() + 7 * 24 * 60 * 60 * 1000).toISOString()\n};\n\nreturn processedData;"
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        "text": "=Create a structured task using the following customer review analysis. The output must be in valid JSON format and contain fields that are friendly for Monday.com, HubSpot, and ClickUp.\n\nRequirements:\nOutput only a JSON object.\n\nUse a clear, professional tone.\n\nEnsure the task is actionable, with proper metadata, title, description, and priority.\n\nInclude customer insights, sentiment analysis, and due date.\n\nUser Provided Data:\n{\n  \"review_text\": \"{{ $json.review_text }}\",\n  \"customer_name\": \"{{ $json.customer_name }}\",\n  \"rating\": \"{{ $json.rating }}\",\n  \"product_service\": \"{{ $json.product_service }}\",\n  \"review_date\": \"{{ $json.review_date }}\",\n  \"sentiment\": \"{{ $json.sentiment }}\",\n  \"sentiment_score\": {{ $json.sentiment_score }},\n  \"category\": \"{{ $json.category }}\",\n  \"priority\": \"{{ $json.priority }}\",\n  \"department\": \"{{ $json.department }}\",\n  \"action_required\": {{ $json.action_required }},\n  \"due_date\": \"{{ $json.due_date }}\",\n  \"task_title\": \"{{ $json.task_title }}\",\n  \"task_description\": `{{ $json.task_description }}`\n}\n\nOutput format (example structure):\n\n{\n  \"title\": \"Review Response: POSITIVE - John Doe\",\n  \"description\": \"Clear, professional task description with insights and action items.\",\n  \"priority\": \"High\",\n  \"due_date\": \"2025-08-08\",\n  \"metadata\": {\n    \"customer_name\": \"John Doe\",\n    \"rating\": 5,\n    \"product_service\": \"Product X\",\n    \"review_date\": \"2025-08-05\",\n    \"sentiment\": \"positive\",\n    \"sentiment_score\": 0.95,\n    \"category\": \"delivery\",\n    \"department\": \"customer_support\",\n    \"action_required\": true\n  }\n}\n\nMake sure:\n\nThe order is exactly maintained as above.\n\nNo additional fields are included.\n\nNo surrounding commentary or formatting is added.\n\nReturn the result as a pure JSON object (no markdown, no explanations, no code block formatting like ```json).\n\nOutput is only the JSON object.",
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      "name": "🗓️ Créer un élément Monday.com",
      "type": "n8n-nodes-base.mondayCom",
      "notes": "MONDAY.COM INTEGRATION: Creates item in Monday.com board. Update BOARD_ID and column IDs to match your board structure.",
      "position": [
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        -240
      ],
      "parameters": {
        "name": "=Feedback",
        "boardId": "2054150933",
        "groupId": "group_mktjh98q",
        "resource": "boardItem",
        "additionalFields": {
          "columnValues": "={{ $json.output }}"
        }
      },
      "credentials": {
        "mondayComApi": {
          "id": "phJg8XbofdmenpXl",
          "name": "Monday.com account - (Dev)"
        }
      },
      "typeVersion": 1
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      "name": "✅ Créer une tâche ClickUp",
      "type": "n8n-nodes-base.clickUp",
      "notes": "CLICKUP INTEGRATION: Creates task in ClickUp with priority mapping and keyword tagging. Update LIST_ID with your ClickUp list.",
      "position": [
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      ],
      "parameters": {
        "list": "901610042700",
        "name": "=Feedback",
        "team": "90161084725",
        "space": "90164686646",
        "folder": "90166023626",
        "authentication": "oAuth2",
        "additionalFields": {
          "customFieldsJson": "={{ $json.output }}"
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      "credentials": {
        "clickUpOAuth2Api": {
          "id": "oWjc2WsgQYtkq2Aq",
          "name": "ClickUp account - (DEV)"
        }
      },
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    },
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      "name": "📌 Créer une tâche HubSpot",
      "type": "n8n-nodes-base.hubspot",
      "notes": "HUBSPOT INTEGRATION: Creates task in HubSpot CRM with priority mapping and due date. Requires HubSpot API key in credentials.",
      "position": [
        -488,
        160
      ],
      "parameters": {
        "type": "task",
        "metadata": {
          "body": "={{ $json.output }}"
        },
        "resource": "engagement",
        "authentication": "appToken",
        "additionalFields": {}
      },
      "credentials": {
        "hubspotAppToken": {
          "id": "ZfQVFpoeed975usK",
          "name": "HubSpot account - (Dev)"
        }
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      "name": "Note adhésive",
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      ],
      "parameters": {
        "width": 440,
        "height": 700,
        "content": "## Nodes Covered: On form submission, Code\n\n📝 Note:\n\nFORM CAPTURE & PRE-PROCESSING\n\n*Captures user feedback via a dynamic form and extracts the input fields (Name, Message, Rating, and Product Service). Passes clean, structured data to the AI for further analysis. This is the entry point for customer sentiment workflows.*"
      },
      "typeVersion": 1
    },
    {
      "id": "f60c29cf-8f8d-4451-aa75-846a01a8ec7d",
      "name": "Note adhésive1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "color": 5,
        "width": 540,
        "height": 700,
        "content": "## Nodes Covered: OpenAI Analysis, Data Processing\n\n🧠 Note:\n\nAI-DRIVEN FEEDBACK INTELLIGENCE\n\n*Uses GPT-4 to analyze the customer review for sentiment, category, department, priority, and more. Then formats this output with due dates, task descriptions, and metadata. Ensures consistency and fallback handling for failed AI responses.*"
      },
      "typeVersion": 1
    },
    {
      "id": "7ab41f5f-ca38-4fcc-aa8d-e14844dc7c71",
      "name": "Note adhésive2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -920,
        -360
      ],
      "parameters": {
        "color": 3,
        "width": 340,
        "height": 700,
        "content": "## Nodes Covered: AI Agent, OpenAI Chat Model\n\n📊 Note:\n\nSTRUCTURED OUTPUT FOR TASK SYSTEMS\n\n*Transforms enriched AI response into a clean, JSON-only object ready to be pushed into Monday.com, ClickUp, and HubSpot. Maintains strict field order, tone, and formatting. Acts as a bridge between data processing and task integrations.*"
      },
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      "position": [
        -560,
        -540
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      "parameters": {
        "color": 4,
        "width": 440,
        "height": 880,
        "content": "## Nodes Covered: Create Monday.com Item, Create ClickUp Task, Create HubSpot Task\n\n📬 Note:\n\nMULTI-PLATFORM TASK CREATION\n\n*Automatically sends analyzed feedback to Monday.com, ClickUp, and HubSpot with consistent metadata, due dates, and formatting. Integrations are toggleable as needed.*"
      },
      "typeVersion": 1
    }
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