Run date: ${today}
\nEmployees analyzed: ${total}
\nHigh risk: ${highRisk.length} Medium risk: ${mediumRisk.length}
\nHigh risk by department: ${deptSummary}
\nTop recurring risk factors this run:
${topFactors.join('
')}
Employees flagged for manager follow-up:
\n${highRiskList}\n Generated by RetainOS AI. All flight-risk scoring for this run was computed by a locally-hosted LLM \u2014 no HR data left your network.
\n`;\n\nreturn [{ json: {\n run_date: today,\n total_analyzed: total,\n high_risk_count: highRisk.length,\n medium_risk_count: mediumRisk.length,\n department_breakdown: deptSummary,\n top_factors: topFactors.join(', '),\n digest_html: html\n} }];\n" }, "typeVersion": 2 }, { "id": "f2e49a62-c858-4920-8eda-e841bcae3132", "name": "Get Todays Risk Results", "type": "n8n-nodes-base.googleSheets", "position": [ 4464, 3472 ], "parameters": { "options": {}, "sheetName": { "__rl": true, "mode": "list", "value": 1642947916, "cachedResultUrl": "https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID/edit#gid=1642947916", "cachedResultName": "Risk_Dashboard" }, "documentId": { "__rl": true, "mode": "list", "value": "YOUR_GOOGLE_SHEET_ID", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID/edit?usp=drivesdk", "cachedResultName": "HR Data Sheet" } }, "typeVersion": 4.5 }, { "id": "6fa98a19-64da-4cb9-b658-57c2abc77a49", "name": "Merge Risk Outcomes", "type": "n8n-nodes-base.merge", "position": [ 7088, 2880 ], "parameters": { "mode": "combine", "options": {} }, "typeVersion": 3 }, { "id": "a31083b7-d1fc-4552-bf94-1eaf59e7e52a", "name": "Flag Escalation in Dashboard", "type": "n8n-nodes-base.googleSheets", "position": [ 6832, 2672 ], "parameters": { "columns": { "value": {}, "schema": [ { "id": "run_date", "type": "string", "display": true, "required": false, "displayName": "run_date", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "employee_id", "type": "string", "display": true, "required": false, "displayName": "employee_id", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "full_name", "type": "string", "display": true, "required": false, "displayName": "full_name", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "department", "type": "string", "display": true, "required": false, "displayName": "department", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "rule_based_score", "type": "string", "display": true, "required": false, "displayName": "rule_based_score", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "llm_risk_score", "type": "string", "display": true, "required": false, "displayName": "llm_risk_score", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "composite_risk_score", "type": "string", "display": true, "required": false, "displayName": "composite_risk_score", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "risk_level", "type": "string", "display": true, "required": false, "displayName": "risk_level", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "key_risk_factors", "type": "string", "display": true, "required": false, "displayName": "key_risk_factors", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "recommended_action", "type": "string", "display": true, "required": false, "displayName": "recommended_action", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "escalated_to_manager", "type": "string", "display": true, "required": false, "displayName": "escalated_to_manager", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "llm_parse_status", "type": "string", "display": true, "required": false, "displayName": "llm_parse_status", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {}, "operation": "append", "sheetName": { "__rl": true, "mode": "list", "value": 1642947916, "cachedResultUrl": "https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID/edit#gid=1642947916", "cachedResultName": "Risk_Dashboard" }, "documentId": { "__rl": true, "mode": "list", "value": "YOUR_GOOGLE_SHEET_ID", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID/edit?usp=drivesdk", "cachedResultName": "HR Data Sheet" } }, "typeVersion": 4.5 }, { "id": "2c7ef3d9-fbe3-4ddd-bf12-1d23543296ea", "name": "Send High Risk Alert to HR", "type": "n8n-nodes-base.telegram", "position": [ 6576, 2672 ], "parameters": { "text": "=\ud83d\udea8 HIGH FLIGHT RISK: {{ $json.full_name }} ({{ $json.employee_id }}) \u2014 {{ $json.department }}\nComposite risk score: {{ $json.composite_risk_score }}/100\nRule-based factors: {{ $json.rule_based_factors }}\nLLM factors: {{ $json.llm_key_factors }}\nRecommended action: {{ $json.llm_recommended_action }}\nManager: {{ $json.manager }}", "chatId": "YOUR_TELEGRAM_CHAT_ID", "additionalFields": {} }, "typeVersion": 1.2 }, { "id": "6276ad6a-2898-4141-b671-22c03c9f39f9", "name": "Check High Risk Threshold", "type": "n8n-nodes-base.if", "position": [ 6208, 2688 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "257c0eb9-1f33-4255-a152-fe7ea43c74cf", "operator": { "type": "number", "operation": "gte" }, "leftValue": "={{ $json.composite_risk_score }}", "rightValue": 70 } ] } }, "typeVersion": 2.2 }, { "id": "8723c174-09f0-46d8-9cb2-40ef2f0b87f9", "name": "Fallback Rule-Based Only Score", "type": "n8n-nodes-base.code", "position": [ 5664, 2848 ], "parameters": { "jsCode": "const d = items[0].json;\nconst composite = d.rule_based_score;\nlet level = 'Low';\nif (composite >= 70) level = 'High';\nelse if (composite >= 40) level = 'Medium';\n\nreturn [{ json: {\n employee_id: d.employee_id,\n full_name: d.full_name,\n email: d.email,\n department: d.department,\n manager: d.manager,\n rule_based_score: d.rule_based_score,\n rule_based_factors: (d.rule_based_factors || []).join('; '),\n llm_risk_score: null,\n llm_key_factors: '',\n llm_recommended_action: 'Local LLM unavailable this run - rule-based score only. Review manually.',\n composite_risk_score: composite,\n risk_level: level,\n llm_parse_status: 'failed',\n run_date: new Date().toISOString().slice(0,10)\n} }];\n" }, "typeVersion": 2 }, { "id": "fde9666f-44e1-4f8b-82e4-3612b707f06c", "name": "Notify Admin - LLM Failure", "type": "n8n-nodes-base.telegram", "position": [ 5408, 2848 ], "parameters": { "text": "=\u26a0\ufe0f Local LLM did not return a valid response for employee {{ $json.employee_id }} during this retention analysis run. Falling back to rule-based score only. Check that Ollama (or your local model server) is running and reachable.", "chatId": "YOUR_TELEGRAM_CHAT_ID", "additionalFields": {} }, "typeVersion": 1.2 }, { "id": "a5531a48-5b34-4276-b380-ad4b04f11945", "name": "Check LLM Parse Success", "type": "n8n-nodes-base.if", "position": [ 5024, 2688 ], "parameters": { "options": {}, "conditions": { "options": { "version": 1, "leftValue": "", "caseSensitive": true, "typeValidation": "loose" }, "combinator": "and", "conditions": [ { "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.llm_parse_status }}", "rightValue": "success" } ] } }, "typeVersion": 2.2 }, { "id": "0559f19b-faa6-44eb-a318-4ff1e7235e2f", "name": "Build Local LLM Prompt", "type": "n8n-nodes-base.code", "position": [ 4240, 2688 ], "parameters": { "jsCode": "const d = items[0].json;\nconst payload = d.llm_payload;\n\nconst prompt = `You are an HR analytics assistant running strictly on a local, private model. Analyze this anonymized employee signal data and output ONLY valid JSON (no markdown, no commentary) with this exact shape:\n{\"risk_score\": <0-100 integer>, \"risk_level\": \"Low|Medium|High\", \"key_factors\": [\"...\"], \"recommended_action\": \"...\"}\n\nEmployee signal data:\n${JSON.stringify(payload, null, 2)}\n\nConsider engagement trend, attendance pattern, eNPS, 1:1 note sentiment, and performance trajectory together rather than any single factor. Return JSON only, no other text.`;\n\nreturn [{ json: { ...d, llm_prompt: prompt } }];\n" }, "typeVersion": 2 }, { "id": "c8784a24-5b8f-40fd-b683-6405d19992fc", "name": "Loop Through Employees", "type": "n8n-nodes-base.splitInBatches", "position": [ 3920, 2832 ], "parameters": { "options": {} }, "typeVersion": 3 }, { "id": "ef427c6a-68bd-4ada-ae2e-5fe7d5235e7b", "name": "Compute Rule-Based Risk Signals", "type": "n8n-nodes-base.code", "position": [ 3664, 2832 ], "parameters": { "jsCode": "// Rule-based flight-risk scoring (0-100) + build an ANONYMIZED payload\n// (no name/email) that is all the local LLM step will ever see.\nreturn items.map(item => {\n const d = item.json;\n let score = 0;\n const factors = [];\n\n const decline = d.engagement_score_previous_qtr - d.engagement_score_current;\n if (decline >= 25) { score += 30; factors.push('Sharp engagement score decline'); }\n else if (decline >= 10) { score += 15; factors.push('Moderate engagement score decline'); }\n\n if (d.attendance_rate_pct < 0.85) { score += 20; factors.push('Attendance below 85%'); }\n else if (d.attendance_rate_pct < 0.92) { score += 10; factors.push('Attendance trending down'); }\n if (d.attendance_trend === 'Declining') { score += 10; factors.push('Declining attendance trend'); }\n\n if (d.enps_response === 'Detractor') { score += 15; factors.push('eNPS Detractor'); }\n if (d.rating_trend === 'Declining') { score += 15; factors.push('Performance rating declining'); }\n if (d.note_sentiment === 'Negative') { score += 10; factors.push('Negative sentiment in latest 1:1'); }\n\n score = Math.min(100, score);\n\n return {\n json: {\n ...d,\n rule_based_score: score,\n rule_based_factors: factors,\n llm_payload: {\n anon_id: d.employee_id,\n tenure_months: d.tenure_months,\n engagement_score_current: d.engagement_score_current,\n engagement_score_previous_qtr: d.engagement_score_previous_qtr,\n manager_relationship_score: d.manager_relationship_score,\n career_growth_score: d.career_growth_score,\n workload_score: d.workload_score,\n enps_response: d.enps_response,\n attendance_rate_pct: d.attendance_rate_pct,\n unplanned_absences: d.unplanned_absences,\n attendance_trend: d.attendance_trend,\n note_summary: d.note_summary,\n rating_trend: d.rating_trend,\n goals_met_pct: d.goals_met_pct,\n peer_feedback_score: d.peer_feedback_score\n }\n }\n };\n});\n" }, "typeVersion": 2 }, { "id": "b360c329-86ad-4017-bbd8-b458ffb5fc6e", "name": "Merge Employee Data Sources", "type": "n8n-nodes-base.code", "position": [ 3376, 2832 ], "parameters": { "jsCode": "// Combine all 5 HR data sources into a single record per employee.\n// Using $('NodeName').all() so this works regardless of which branch\n// physically feeds this node's input first.\nconst master = $('Get Employee Master Data').all().map(i => i.json);\nconst survey = $('Get Engagement Survey Data').all().map(i => i.json);\nconst attendance = $('Get Attendance Data').all().map(i => i.json);\nconst notes = $('Get 1:1 Meeting Notes').all().map(i => i.json);\nconst reviews = $('Get Performance Review Data').all().map(i => i.json);\n\nfunction findBy(arr, id) {\n return arr.find(r => r.employee_id === id) || {};\n}\n\nconst merged = master.map(emp => {\n const id = emp.employee_id;\n const s = findBy(survey, id);\n const a = findBy(attendance, id);\n const n = findBy(notes, id);\n const r = findBy(reviews, id);\n return {\n employee_id: id,\n full_name: emp.full_name,\n email: emp.email,\n department: emp.department,\n manager: emp.manager,\n title: emp.title,\n tenure_months: Number(emp.tenure_months || 0),\n engagement_score_current: Number(s.engagement_score_current || 0),\n engagement_score_previous_qtr: Number(s.engagement_score_previous_qtr || 0),\n score_delta: Number(s.score_delta || 0),\n manager_relationship_score: Number(s.manager_relationship_score || 0),\n career_growth_score: Number(s.career_growth_score || 0),\n workload_score: Number(s.workload_score || 0),\n enps_response: s.enps_response || '',\n attendance_rate_pct: Number(a.attendance_rate_pct || 1),\n unplanned_absences: Number(a.unplanned_absences || 0),\n late_arrivals: Number(a.late_arrivals || 0),\n avg_daily_login_hours: Number(a.avg_daily_login_hours || 8),\n attendance_trend: a.trend_vs_prior_period || 'Stable',\n note_summary: n.note_summary || '',\n note_sentiment: n.sentiment_tag || 'Neutral',\n rating_current: r.rating_current || '',\n rating_previous: r.rating_previous || '',\n rating_trend: r.rating_trend || 'Stable',\n goals_met_pct: Number(r.goals_met_pct || 0),\n peer_feedback_score: Number(r.peer_feedback_score || 0)\n };\n});\n\nreturn merged.map(m => ({ json: m }));\n" }, "typeVersion": 2 }, { "id": "5f735685-0c3f-40a9-88f7-879db38cba86", "name": "Get Performance Review Data", "type": "n8n-nodes-base.googleSheets", "position": [ 2448, 3216 ], "parameters": { "options": {}, "sheetName": { "__rl": true, "mode": "list", "value": 512918503, "cachedResultUrl": "https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID/edit#gid=512918503", "cachedResultName": "Performance_Reviews" }, "documentId": { "__rl": true, "mode": "list", "value": "YOUR_GOOGLE_SHEET_ID", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID/edit?usp=drivesdk", "cachedResultName": "HR Data Sheet" } }, "typeVersion": 4.5 }, { "id": "d4f2bf4a-b008-4afc-862f-28883b3cac0e", "name": "Get 1:1 Meeting Notes", "type": "n8n-nodes-base.googleSheets", "position": [ 2448, 3024 ], "parameters": { "options": {}, "sheetName": { "__rl": true, "mode": "list", "value": 1305511280, "cachedResultUrl": "https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID/edit#gid=1305511280", "cachedResultName": "OneOnOne_Notes" }, "documentId": { "__rl": true, "mode": "list", "value": "YOUR_GOOGLE_SHEET_ID", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID/edit?usp=drivesdk", "cachedResultName": "HR Data Sheet" } }, "typeVersion": 4.5 }, { "id": "76e5b37c-4181-4c9b-9cd7-d7cb8faca233", "name": "Get Attendance Data", "type": "n8n-nodes-base.googleSheets", "position": [ 2448, 2800 ], "parameters": { "options": {}, "sheetName": { "__rl": true, "mode": "list", "value": 1809290042, "cachedResultUrl": "https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID/edit#gid=1809290042", "cachedResultName": "Attendance" }, "documentId": { "__rl": true, "mode": "list", "value": "YOUR_GOOGLE_SHEET_ID", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID/edit?usp=drivesdk", "cachedResultName": "HR Data Sheet" } }, "typeVersion": 4.5 }, { "id": "31042744-2f92-42b8-9208-410ddd9380bc", "name": "Get Engagement Survey Data", "type": "n8n-nodes-base.googleSheets", "position": [ 2448, 2576 ], "parameters": { "options": {}, "sheetName": { "__rl": true, "mode": "list", "value": 849989212, "cachedResultUrl": "https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID/edit#gid=849989212", "cachedResultName": "Engagement_Survey" }, "documentId": { "__rl": true, "mode": "list", "value": "YOUR_GOOGLE_SHEET_ID", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID/edit?usp=drivesdk", "cachedResultName": "HR Data Sheet" } }, "typeVersion": 4.5 }, { "id": "dfd9891d-f745-4aeb-a949-cb0cdfb4519f", "name": "Get Employee Master Data", "type": "n8n-nodes-base.googleSheets", "position": [ 2448, 2352 ], "parameters": { "options": {}, "sheetName": { "__rl": true, "mode": "list", "value": 123131184, "cachedResultUrl": "https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID/edit#gid=123131184", "cachedResultName": "Employees_Master" }, "documentId": { "__rl": true, "mode": "list", "value": "YOUR_GOOGLE_SHEET_ID", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID/edit?usp=drivesdk", "cachedResultName": "HR Data Sheet" } }, "typeVersion": 4.5 }, { "id": "8ce32b23-c421-4fa8-99c1-8aa4c1ff09ae", "name": "Weekly Retention Analysis Trigger", "type": "n8n-nodes-base.scheduleTrigger", "position": [ 2128, 2800 ], "parameters": { "rule": { "interval": [ { "field": "cronExpression", "expression": "0 8 * * 1" } ] } }, "typeVersion": 1.2 } ], "active": false, "settings": { "binaryMode": "separate", "availableInMCP": false, "executionOrder": "v1" }, "versionId": "bb21a167-9ee5-437f-af51-5b73238f9084", "nodeGroups": [], "connections": { "Merge Score Paths": { "main": [ [ { "node": "Check High Risk Threshold", "type": "main", "index": 0 } ] ] }, "On Workflow Error": { "main": [ [ { "node": "Slack \u2013 Post Workflow Error Alert", "type": "main", "index": 0 } ] ] }, "Get Attendance Data": { "main": [ [ { "node": "Merge Data Fetch Results", "type": "main", "index": 2 } ] ] }, "Merge Risk Outcomes": { "main": [ [ { "node": "Loop Through Employees", "type": "main", "index": 0 } ] ] }, "Get 1:1 Meeting Notes": { "main": [ [ { "node": "Merge Data Fetch Results", "type": "main", "index": 3 } ] ] }, "Build Local LLM Prompt": { "main": [ [ { "node": "Local LLM Flight Risk Analysis", "type": "main", "index": 0 } ] ] }, "Loop Through Employees": { "main": [ [ { "node": "Get Todays Risk Results", "type": "main", "index": 0 } ], [ { "node": "Build Local LLM Prompt", "type": "main", "index": 0 } ] ] }, "Check LLM Parse Success": { "main": [ [ { "node": "Calculate Composite Risk Score", "type": "main", "index": 0 } ], [ { "node": "Notify Admin - LLM Failure", "type": "main", "index": 0 } ] ] }, "Get Todays Risk Results": { "main": [ [ { "node": "Build Weekly Summary Report", "type": "main", "index": 0 } ] ] }, "Log Standard Risk Entry": { "main": [ [ { "node": "Merge Risk Outcomes", "type": "main", "index": 1 } ] ] }, "Get Employee Master Data": { "main": [ [ { "node": "Merge Data Fetch Results", "type": "main", "index": 0 } ] ] }, "Merge Data Fetch Results": { "main": [ [ { "node": "Merge Employee Data Sources", "type": "main", "index": 0 } ] ] }, "Check High Risk Threshold": { "main": [ [ { "node": "Send High Risk Alert to HR", "type": "main", "index": 0 } ], [ { "node": "Log Standard Risk Entry", "type": "main", "index": 0 } ] ] }, "Parse LLM Risk Assessment": { "main": [ [ { "node": "Check LLM Parse Success", "type": "main", "index": 0 } ] ] }, "Get Engagement Survey Data": { "main": [ [ { "node": "Merge Data Fetch Results", "type": "main", "index": 1 } ] ] }, "Notify Admin - LLM Failure": { "main": [ [ { "node": "Fallback Rule-Based Only Score", "type": "main", "index": 0 } ] ] }, "Send High Risk Alert to HR": { "main": [ [ { "node": "Flag Escalation in Dashboard", "type": "main", "index": 0 } ] ] }, "Build Weekly Summary Report": { "main": [ [ { "node": "Send Weekly HR Digest Email", "type": "main", "index": 0 } ] ] }, "Get Performance Review Data": { "main": [ [ { "node": "Merge Data Fetch Results", "type": "main", "index": 4 } ] ] }, "Merge Employee Data Sources": { "main": [ [ { "node": "Compute Rule-Based Risk Signals", "type": "main", "index": 0 } ] ] }, "Flag Escalation in Dashboard": { "main": [ [ { "node": "Merge Risk Outcomes", "type": "main", "index": 0 } ] ] }, "Calculate Composite Risk Score": { "main": [ [ { "node": "Merge Score Paths", "type": "main", "index": 0 } ] ] }, "Fallback Rule-Based Only Score": { "main": [ [ { "node": "Merge Score Paths", "type": "main", "index": 1 } ] ] }, "Local LLM Flight Risk Analysis": { "main": [ [ { "node": "Parse LLM Risk Assessment", "type": "main", "index": 0 } ] ] }, "Compute Rule-Based Risk Signals": { "main": [ [ { "node": "Loop Through Employees", "type": "main", "index": 0 } ] ] }, "Weekly Retention Analysis Trigger": { "main": [ [ { "node": "Get Performance Review Data", "type": "main", "index": 0 }, { "node": "Get 1:1 Meeting Notes", "type": "main", "index": 0 }, { "node": "Get Attendance Data", "type": "main", "index": 0 }, { "node": "Get Engagement Survey Data", "type": "main", "index": 0 }, { "node": "Get Employee Master Data", "type": "main", "index": 0 } ] ] } } }