{ "name": "Case 66 - Single Store Review Analysis (Student-Friendly)", "nodes": [ { "parameters": { "rule": { "interval": [ { "field": "weeks", "triggerAtDay": [ 1 ], "triggerAtHour": 9 } ] } }, "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1.2, "position": [ -896, -480 ], "id": "923b3de6-8742-4fba-8ca9-2b03c9ab073d", "name": "Weekly Schedule - Monday 9 AM" }, { "parameters": { "actorId": { "__rl": true, "value": "Xb8osYTtOjlsgI6k9", "mode": "id", "cachedResultName": "Google Maps Scraper" }, "customBody": "{\n \"language\": \"en\",\n \"maxReviews\": 100,\n \"personalData\": true,\n \"startUrls\": [\n {\n \"url\": \"https://www.google.com/maps?cid=7231903711028778805\"\n }\n ],\n \"reviewsSort\": \"newest\",\n \"reviewsOrigin\": \"all\"\n}" }, "type": "@apify/n8n-nodes-apify.apify", "typeVersion": 1, "position": [ -704, -480 ], "id": "df5d2ef7-a9c4-461d-a238-4de2e1007c83", "name": "Scrape Starbucks Reviews", "credentials": { "apifyApi": { "id": "w5S6YBbbyUddEfQA", "name": "Apify account" } } }, { "parameters": { "resource": "Datasets", "datasetId": "={{ $json.defaultDatasetId }}", "limit": 100 }, "type": "@apify/n8n-nodes-apify.apify", "typeVersion": 1, "position": [ -512, -480 ], "id": "f7c7e5b0-a92e-436c-af4a-276650aaa76b", "name": "Get Dataset Items", "credentials": { "apifyApi": { "id": "w5S6YBbbyUddEfQA", "name": "Apify account" } } }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 1 }, "conditions": [ { "id": "filter-1star", "leftValue": "={{ $json.stars }}", "rightValue": 1, "operator": { "type": "number", "operation": "equals" } }, { "id": "filter-2star", "leftValue": "={{ $json.stars }}", "rightValue": 2, "operator": { "type": "number", "operation": "equals" } } ], "combinator": "or" }, "options": {} }, "type": "n8n-nodes-base.filter", "typeVersion": 2, "position": [ -320, -480 ], "id": "13fc6caa-a153-4adb-82e4-e893cc5335d4", "name": "Filter 1-2 Star Reviews" }, { "parameters": { "modelId": { "__rl": true, "value": "gpt-4o", "mode": "list", "cachedResultName": "GPT-4o" }, "responses": { "values": [ { "role": "system", "content": "=You are a Starbucks complaint analyst. Read the review carefully and categorize it.\n\nReturn ONLY this JSON format:\n{\n \"complaint_category\": \"Service Quality|Product Issues|Staff Behavior|Cleanliness|Pricing|Wait Time|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\nStaff Behavior = Customer complains about HOW staff treated them\nKeywords: rude, arrogant, disrespectful, mean, attitude, unprofessional, dismissive\nExample: \"Staff was extremely rude\" → Staff Behavior\n\nProduct Issues = Food or drink quality problem\nKeywords: cold coffee, wrong order, tasted bad, burnt, stale, horrible food\nExample: \"Coffee was cold and tasted burnt\" → Product Issues\n\nWait Time = Too long to get order\nKeywords: waited 30 minutes, slow service, long line, took forever\nExample: \"Waited 25 minutes for a latte\" → Wait Time\n\nService Quality = Staff forgot/ignored you BUT weren't rude\nKeywords: forgot order, ignored me, no one helped, poor service\nExample: \"They forgot my order\" → Service Quality\n\nCleanliness = Dirty store or bathroom\nKeywords: dirty, filthy, bathroom disgusting, trash everywhere\nExample: \"Tables were filthy\" → Cleanliness\n\nPricing = Too expensive or wrong charge\nKeywords: overpriced, expensive, charged wrong amount\nExample: \"Way too expensive\" → Pricing\n\nOther = Doesn't fit above categories\nExample: \"No parking\" → Other\n\nSEVERITY RULES:\n- If customer uses words like \"worst\", \"terrible\", \"horrible\", \"disgusting\" → high\n- If customer is complaining but not using extreme words → medium\n- If customer is just giving feedback → low\n- If there's safety/health issue → critical\n\nEMOTIONAL TONE RULES:\n- Angry = uses words like \"furious\", \"outraged\", profanity, \"never coming back\"\n- Frustrated = complains multiple times, uses \"disappointed\", \"ridiculous\"\n- Disappointed = sad, unmet expectations, \"expected better\"\n- Calm = neutral feedback, no emotion\n- Sarcastic = uses mockery or irony\n\nLook at the ACTUAL WORDS in the review. If customer says \"extremely rude staff\" - that's Staff Behavior and Angry tone. If customer says \"waited 28 minutes\" - that's Wait Time and Frustrated tone.\n\nReturn ONLY the JSON. No explanation." }, { "content": "=Analyze this Starbucks review:\n\nLocation: {{ $json.title }}\nReviewer: {{ $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": [ -128, -480 ], "id": "46125e29-e252-43c6-badb-b6aebc615168", "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 complaint_category: 'Other',\n severity: 'low',\n emotional_tone: 'Calm',\n specific_issue: `Parse error: ${error.message}`,\n key_quote: ''\n }\n });\n }\n});\n\nreturn items;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 144, -480 ], "id": "4db14531-957d-42d1-b956-59863483b8e0", "name": "Parse AI Response" }, { "parameters": { "operation": "append", "documentId": { "__rl": true, "value": "1vXI0FGEsf-2erDpxJE2WxeOwwticAX-MZGN3-d9SWqo", "mode": "list", "cachedResultName": "Case 66 - simplified" }, "sheetName": { "__rl": true, "value": "gid=0", "mode": "list", "cachedResultName": "Sheet1" }, "columns": { "mappingMode": "defineBelow", "value": { "Review_Date": "={{ $json.review_date }}", "Reviewer_Name": "={{ $json.reviewer_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": "Reviewer_Name", "displayName": "Reviewer_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 } ] }, "options": {} }, "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.5, "position": [ 448, -480 ], "id": "2ec62baa-3912-4e80-92ca-174171be4ac5", "name": "Log to Google Sheet", "credentials": { "googleSheetsOAuth2Api": { "id": "LOs2dbk9lby0NfDM", "name": "Google Sheets account" } } }, { "parameters": { "jsCode": "// Aggregate negative review data for email summary\nconst items = $('Edit Fields1').all();\n\nif (items.length === 0) {\n return [{\n json: {\n total_negative_reviews: 0,\n category_breakdown: {},\n severity_breakdown: {},\n emotional_tone_breakdown: {},\n top_issues: [],\n location_name: 'Unknown'\n }\n }];\n}\n\n// Count by category\nconst categoryCount = {};\nconst severityCount = {};\nconst emotionalToneCount = {};\nconst allIssues = [];\nconst location_name = items[0].json.location_name || 'Unknown';\n\nitems.forEach(item => {\n const data = item.json;\n \n // Category breakdown\n const category = data.complaint_category || 'Other';\n categoryCount[category] = (categoryCount[category] || 0) + 1;\n \n // Severity breakdown\n const severity = data.severity || 'low';\n severityCount[severity] = (severityCount[severity] || 0) + 1;\n \n // Emotional tone breakdown\n const tone = data.emotional_tone || 'Calm';\n emotionalToneCount[tone] = (emotionalToneCount[tone] || 0) + 1;\n \n // Collect issues for top issues list\n allIssues.push({\n issue: data.specific_issue || '',\n quote: data.key_quote || '',\n reviewer: data.reviewer_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\n// Sort issues by severity (critical > high > medium > low)\nconst severityOrder = { critical: 4, high: 3, medium: 2, low: 1 };\nallIssues.sort((a, b) => {\n return (severityOrder[b.severity] || 0) - (severityOrder[a.severity] || 0);\n});\n\n// Get top 5 issues\nconst topIssues = allIssues.slice(0, 5);\n\nreturn [{\n json: {\n total_negative_reviews: items.length,\n category_breakdown: categoryCount,\n severity_breakdown: severityCount,\n emotional_tone_breakdown: emotionalToneCount,\n top_issues: topIssues,\n location_name: location_name\n }\n}];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 640, -480 ], "id": "a534e941-e232-472d-88cb-fe198a504e85", "name": "Aggregate Summary" }, { "parameters": { "sendTo": "manager@starbucks.com", "subject": "=Weekly Review Summary - {{ $json.location_name }}", "message": "=\n\n \n\n\n
\n
\n

📊 Weekly Review Summary

\n
{{ $json.location_name }}
\n
\n \n
\n
\n

📉 Negative Reviews Overview

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

🗂️ Complaint Categories

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

⚠️ Severity Breakdown

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

😤 Emotional Tone Analysis

\n {{ Object.keys($json.emotional_tone_breakdown).map(tone => `\n
\n ${tone}\n ${$json.emotional_tone_breakdown[tone]}\n
\n `).join('') }}\n
\n \n
\n

🔥 Top Priority Issues

\n {{ $json.top_issues.map(issue => `\n
\n
\n ${issue.category}\n ${issue.severity.toUpperCase()}\n
\n
Issue: ${issue.issue}
\n
\"${issue.quote}\"
\n
— ${issue.reviewer} | ⭐ ${issue.rating}/5 | ${issue.date}
\n → View Full Review\n
\n `).join('') }}\n
\n \n
\n

💡 Recommended Actions

\n
    \n
  • Immediate Review: Address all critical and high-severity complaints within 24 hours
    • \n
  • Staff Training: Focus on top complaint categories identified above
    • \n
  • Customer Outreach: Consider reaching out to highly dissatisfied customers
    • \n
  • Process Improvement: Analyze patterns and implement corrective measures
    • \n
  • Follow-up: Monitor next week's reviews to track improvement
    • \n
\n
\n
\n \n
\n

Automated Weekly Review Analysis

\n

Generated on {{ new Date().toLocaleDateString('en-US', { weekday: 'long', year: 'numeric', month: 'long', day: 'numeric' }) }}

\n

This is an automated report. Please do not reply to this email.

\n
\n
\n\n", "options": {} }, "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 832, -480 ], "id": "2cc51d26-05a9-45f1-b678-fce163137f74", "name": "Send Weekly Summary Email", "webhookId": "7983c593-d33e-4fce-b261-57c150fc3d95", "credentials": { "gmailOAuth2": { "id": "cyqCGWcggZNMcSOv", "name": "Gmail account" } } }, { "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": "reviewer_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": "location_name", "value": "={{ $('Filter 1-2 Star Reviews').item.json.title }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 304, -480 ], "id": "a01e4866-8191-4526-b13c-15f64be9cb3a", "name": "Edit Fields1" } ], "pinData": {}, "connections": { "Weekly Schedule - Monday 9 AM": { "main": [ [ { "node": "Scrape Starbucks Reviews", "type": "main", "index": 0 } ] ] }, "Scrape Starbucks Reviews": { "main": [ [ { "node": "Get Dataset Items", "type": "main", "index": 0 } ] ] }, "Get Dataset Items": { "main": [ [ { "node": "Filter 1-2 Star Reviews", "type": "main", "index": 0 } ] ] }, "Filter 1-2 Star Reviews": { "main": [ [ { "node": "AI: Analyze Review", "type": "main", "index": 0 } ] ] }, "AI: Analyze Review": { "main": [ [ { "node": "Parse AI Response", "type": "main", "index": 0 } ] ] }, "Parse AI Response": { "main": [ [ { "node": "Edit Fields1", "type": "main", "index": 0 } ] ] }, "Log to Google Sheet": { "main": [ [ { "node": "Aggregate Summary", "type": "main", "index": 0 } ] ] }, "Aggregate Summary": { "main": [ [ { "node": "Send Weekly Summary Email", "type": "main", "index": 0 } ] ] }, "Edit Fields1": { "main": [ [ { "node": "Log to Google Sheet", "type": "main", "index": 0 } ] ] } }, "active": false, "settings": { "executionOrder": "v1" }, "versionId": "cb81cc67-1a85-47d9-9d67-924e87c26434", "meta": { "templateCredsSetupCompleted": true, "instanceId": "3a43da28588548e21903e71cf1dc3ddd65c24bf0c62e7e4b77542ffe87ad79c6" }, "id": "wyeY6Ji6eiFclEVy", "tags": [] }