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Read the review carefully and categorize it.\n\nReturn ONLY this JSON format:\n{\n \"complaint_category\": \"Sales Pressure|Service Wait Time|Repair Quality|Pricing Transparency|Staff Professionalism|Facility Cleanliness|Other\",\n \"severity\": \"critical|high|medium|low\",\n \"emotional_tone\": \"Angry|Frustrated|Disappointed|Calm|Sarcastic\",\n \"specific_issue\": \"what went wrong\",\n \"key_quote\": \"most important sentence from review\"\n}\n\nHOW TO CATEGORIZE:\n\nSales Pressure = Aggressive tactics, pressure to buy, dishonesty\nKeywords: pushy, aggressive, lied, deceived, pressure tactics, bait and switch\nExample: \"Salesperson was extremely pushy\" → Sales Pressure\n\nService Wait Time = Long waits for service/repairs\nKeywords: waited hours, took forever, slow service, no loaner car\nExample: \"Waited 4 hours for oil change\" → Service Wait Time\n\nRepair Quality = Poor repairs, problem returned, damage caused\nKeywords: didn't fix, still broken, made worse, damaged car, shoddy work\nExample: \"Problem came back after repair\" → Repair Quality\n\nPricing Transparency = Hidden fees, overcharged, pricing issues\nKeywords: hidden fees, overcharged, bait and switch, surprise charges, markup\nExample: \"Charged $500 more than quoted\" → Pricing Transparency\n\nStaff Professionalism = Rude, unprofessional, disrespectful behavior\nKeywords: rude, unprofessional, disrespectful, condescending, dismissive\nExample: \"Service advisor was condescending\" → Staff Professionalism\n\nFacility Cleanliness = Dirty waiting area, bathrooms, service bays\nKeywords: dirty, filthy, gross facilities, messy showroom\nExample: \"Waiting room was disgusting\" → Facility Cleanliness\n\nOther = Everything else\nExample: \"Parking lot was too small\" → Other\n\nSEVERITY RULES:\n- critical: Safety issues (brakes not fixed, dangerous repairs), fraud, theft\n- high: Major service failures, very angry customer, expensive mistakes\n- medium: Frustrating experience, poor service, minor repair issues\n- low: Minor inconveniences, constructive feedback\n\nEMOTIONAL TONE RULES:\n- Angry: Profanity, threats, extreme anger, \"never coming back\"\n- Frustrated: Multiple complaints, \"disappointed\", \"waste of time\"\n- Disappointed: Unmet expectations, sad tone, \"expected better\"\n- Calm: Neutral feedback, no strong emotion\n- Sarcastic: Mockery, ironic comments, passive-aggressive\n\nReturn ONLY the JSON. No explanation." }, { "content": "=Analyze this dealership review:\n\nDealership: {{ $json.title }}\nCustomer: {{ $json.name }}\nRating: {{ $json.stars }} stars\nDate: {{ $json.publishedAtDate }}\nReview Text: {{ $json.text }}\n\nReturn only JSON." } ] }, "builtInTools": {}, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 2.1, "position": [ -48, -96 ], "id": "2db88da7-44fa-4258-96b1-b122d8231bbc", "name": "AI: Analyze Review", "credentials": { "openAiApi": { "id": "ICwxUBbatsF2sDvy", "name": "OpenAi account" } } }, { "parameters": { "jsCode": "// STANDARD AI RESPONSE PARSER\n// Use this after every AI node to convert text into drag-droppable fields\n// Students: You don't need to understand this code - just connect it after AI nodes!\n\nconst items = [];\nconst input = $input.all();\n\ninput.forEach((item, index) => {\n try {\n // Get AI response text\n const aiText = item.json.output[0].content[0].text;\n \n // Clean markdown code blocks if present\n const cleaned = aiText.replace(/```json\\n?/g, '').replace(/```\\n?/g, '').trim();\n \n // Parse JSON string into object\n const parsed = JSON.parse(cleaned);\n \n // Return parsed fields (now you can drag-drop these!)\n items.push({\n json: parsed\n });\n } catch (error) {\n console.error(`Error parsing AI response for item ${index}:`, error.message);\n // Return empty fields if parsing fails\n items.push({\n json: {\n error: `Parse failed: ${error.message}`\n }\n });\n }\n});\n\nreturn items;\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 224, -96 ], "id": "fcbfdd20-7172-414d-86fa-919446477acf", "name": "Parse AI Response" }, { "parameters": { "assignments": { "assignments": [ { "id": "cat", "name": "complaint_category", "value": "={{ $json.complaint_category }}", "type": "string" }, { "id": "sev", "name": "severity", "value": "={{ $json.severity }}", "type": "string" }, { "id": "tone", "name": "emotional_tone", "value": "={{ $json.emotional_tone }}", "type": "string" }, { "id": "issue", "name": "specific_issue", "value": "={{ $json.specific_issue }}", "type": "string" }, { "id": "quote", "name": "key_quote", "value": "={{ $json.key_quote }}", "type": "string" }, { "id": "date", "name": "review_date", "value": "={{ $('Filter 1-2 Star Reviews').item.json.publishedAtDate }}", "type": "string" }, { "id": "reviewer", "name": "customer_name", "value": "={{ $('Filter 1-2 Star Reviews').item.json.name }}", "type": "string" }, { "id": "rating", "name": "star_rating", "value": "={{ $('Filter 1-2 Star Reviews').item.json.stars }}", "type": "number" }, { "id": "text", "name": "review_text", "value": "={{ $('Filter 1-2 Star Reviews').item.json.textTranslated || $('Filter 1-2 Star Reviews').item.json.text }}", "type": "string" }, { "id": "url", "name": "review_url", "value": "={{ $('Filter 1-2 Star Reviews').item.json.reviewUrl }}", "type": "string" }, { "id": "loc", "name": "dealership_name", "value": "={{ $('Filter 1-2 Star Reviews').item.json.title }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 384, -96 ], "id": "0eb85376-ef1d-46e7-8417-e5e1cd4bf3b1", "name": "Edit Fields" }, { "parameters": { "operation": "append", "documentId": { "__rl": true, "value": "1JzAkwVSe7TUcuh2uESWt-O4Jqhee9dB8jrtbXoPgm0k", "mode": "list", "cachedResultName": "Case 68 - Car Dealership Sales and Service Log", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1JzAkwVSe7TUcuh2uESWt-O4Jqhee9dB8jrtbXoPgm0k/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "gid=0", "mode": "list", "cachedResultName": "Sheet1", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1JzAkwVSe7TUcuh2uESWt-O4Jqhee9dB8jrtbXoPgm0k/edit#gid=0" }, "columns": { "mappingMode": "defineBelow", "value": { "Review_Date": "={{ $json.review_date }}", "Customer_Name": "={{ $json.customer_name }}", "Star_Rating": "={{ $json.star_rating }}", "Review_Text": "={{ $json.review_text }}", "Complaint_Category": "={{ $json.complaint_category }}", "Severity": "={{ $json.severity }}", "Emotional_Tone": "={{ $json.emotional_tone }}", "Specific_Issue": "={{ $json.specific_issue }}", "Key_Quote": "={{ $json.key_quote }}", "Review_URL": "={{ $json.review_url }}" }, "matchingColumns": [], "schema": [ { "id": "Review_Date", "displayName": "Review_Date", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Customer_Name", "displayName": "Customer_Name", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Star_Rating", "displayName": "Star_Rating", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Review_Text", "displayName": "Review_Text", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Complaint_Category", "displayName": "Complaint_Category", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Severity", "displayName": "Severity", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Emotional_Tone", "displayName": "Emotional_Tone", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Specific_Issue", "displayName": "Specific_Issue", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Key_Quote", "displayName": "Key_Quote", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Review_URL", "displayName": "Review_URL", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.5, "position": [ 544, -96 ], "id": "7bc3c7fa-d623-4455-b4c6-8dcabab9a425", "name": "Log to Google Sheet", "credentials": { "googleSheetsOAuth2Api": { "id": "LOs2dbk9lby0NfDM", "name": "Google Sheets account" } } }, { "parameters": { "jsCode": "const items = $('Edit Fields').all();\n\nif (items.length === 0) {\n return [{ json: { total_negative_reviews: 0, category_breakdown: {}, severity_breakdown: {}, emotional_tone_breakdown: {}, top_issues: [], dealership_name: 'Unknown' } }];\n}\n\nconst categoryCount = {};\nconst severityCount = {};\nconst emotionalToneCount = {};\nconst allIssues = [];\nconst dealership_name = items[0].json.dealership_name || 'Unknown';\n\nitems.forEach(item => {\n const data = item.json;\n const category = data.complaint_category || 'Other';\n categoryCount[category] = (categoryCount[category] || 0) + 1;\n const severity = data.severity || 'low';\n severityCount[severity] = (severityCount[severity] || 0) + 1;\n const tone = data.emotional_tone || 'Calm';\n emotionalToneCount[tone] = (emotionalToneCount[tone] || 0) + 1;\n \n allIssues.push({\n issue: data.specific_issue || '',\n quote: data.key_quote || '',\n customer: data.customer_name || 'Anonymous',\n date: data.review_date || '',\n rating: data.star_rating || 0,\n url: data.review_url || '',\n severity: data.severity || 'low',\n category: data.complaint_category || 'Other'\n });\n});\n\nconst severityOrder = { critical: 4, high: 3, medium: 2, low: 1 };\nallIssues.sort((a, b) => (severityOrder[b.severity] || 0) - (severityOrder[a.severity] || 0));\nconst topIssues = allIssues.slice(0, 5);\n\nreturn [{ json: { total_negative_reviews: items.length, category_breakdown: categoryCount, severity_breakdown: severityCount, emotional_tone_breakdown: emotionalToneCount, top_issues: topIssues, dealership_name: dealership_name } }];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 720, -96 ], "id": "414c2cfe-c8a0-458a-9ef7-ce79716d81ff", "name": "Aggregate Summary" }, { "parameters": { "sendTo": "gm@dealership.com", "subject": "=Weekly Service & Sales Report - {{ $json.dealership_name }}", "message": "=

🚗 Weekly Dealership Report

{{ $json.dealership_name }}

Overview

{{ $json.total_negative_reviews }}
Negative Reviews
{{ Object.keys($json.category_breakdown).length }}
Issue Categories

Complaint Categories

{{ Object.keys($json.category_breakdown).map(cat => `
${cat}${$json.category_breakdown[cat]}
`).join('') }}

Severity Breakdown

{{ Object.keys($json.severity_breakdown).map(sev => `
${sev.charAt(0).toUpperCase() + sev.slice(1)}${$json.severity_breakdown[sev]}
`).join('') }}

Top Priority Issues

{{ $json.top_issues.map(issue => `
${issue.category} - ${issue.severity.toUpperCase()}
${issue.issue}
\"${issue.quote}\"
— ${issue.customer} | ⭐${issue.rating}/5
→ View Review
`).join('') }}

Recommended Actions

  • Address critical safety issues immediately
  • Review sales training if Sales Pressure is top category
  • Audit service department wait times and staffing
  • Investigate repair quality control processes
  • Review pricing transparency with finance team

Automated Weekly Report

{{ new Date().toLocaleDateString() }}

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