Workflow: Spot Workplace Discrimination Patterns with AI
Integrations: code, html, httpRequest, manualTrigger, merge, noOp, quickChart, set, stickyNote

{"id": "vzU9QRZsHcyRsord", "meta": {"instanceId": "workflow-40ead628", "versionId": "1.0.0", "createdAt": "2025-09-29T07:07:43.524000", "updatedAt": "2025-09-29T07:07:43.524081", "owner": "n8n-user", "license": "MIT", "category": "automation", "status": "active", "priority": "high", "environment": "production"}, "name": "Spot Workplace Discrimination Patterns with AI", "tags": ["automation", "n8n", "production-ready", "excellent", "optimized"], "nodes": [{"id": "b508ab50-158a-4cbf-a52e-f53e1804e770", "name": "When clicking \u2018Test workflow\u2019", "type": "n8n-nodes-base.manualTrigger", "position": [280, 380], "parameters": {}, "typeVersion": 1, "notes": "This manualTrigger node performs automated tasks as part of the workflow."}, {"id": "11a1a2d5-a274-44f7-97ca-5666a59fcb31", "name": "OpenAI Chat Model1", "type": "n8n-nodes-base.noOp", "position": [2220, 800], "parameters": {"options": {}}, "credentials": {"openAiApi": {"id": "XXXXXX", "name": "OpenAi account"}}, "typeVersion": 1, 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lmChatOpenAi node performs automated tasks as part of the workflow."}, {"id": "f25f1b07-cded-4ca7-9655-8b8f463089ab", "name": "SET company_name", "type": "n8n-nodes-base.set", "position": [540, 380], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "dd256ef7-013c-4769-8580-02c2d902d0b2", "name": "company_name", "type": "string", "value": "=Twilio"}]}}, "typeVersion": 3.4, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "87264a93-ab97-4e39-8d40-43365189f704", "name": "Define dictionary of demographic keys", "type": "n8n-nodes-base.set", "position": [740, 380], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "6ae671be-45d0-4a94-a443-2f1d4772d31b", "name": "asian", "type": "string", "value": "Asian"}, {"id": "6c93370c-996c-44a6-a34c-4cd3baeeb846", "name": "hispanic", "type": "string", "value": "Hispanic or Latinx"}, {"id": "dee79039-6051-4e9d-98b5-63a07d30f6b0", "name": "white", "type": "string", "value": "White"}, {"id": "08d42380-8397-412f-8459-7553e9309b5d", "name": "pacific_islander", "type": "string", "value": "Native Hawaiian or other Pacific Islander"}, {"id": "09e8ebc5-e7e7-449a-9036-9b9b54cdc828", "name": "black", "type": "string", "value": "Black or African American"}, {"id": "39e910f8-3a8b-4233-a93a-3c5693e808c6", "name": "middle_eastern", "type": "string", "value": "Middle Eastern"}, {"id": "169b3471-efa0-476e-aa83-e3f717c568f1", "name": "indigenous", "type": "string", "value": "Indigenous American or Native Alaskan"}, {"id": "b6192296-4efa-4af5-ae02-1e31d28aae90", "name": "male", "type": "string", "value": "Men"}, {"id": "4b322294-940c-459d-b083-8e91e38193f7", "name": "female", "type": "string", "value": "Women"}, {"id": "1940eef0-6b76-4a26-9d8f-7c8536fbcb1b", "name": "trans", "type": "string", "value": "Transgender and/or Non-Binary"}, {"id": "3dba3e18-2bb1-4078-bde9-9d187f9628dd", "name": "hetero", "type": "string", "value": "Heterosexual"}, {"id": "9b7d10ad-1766-4b18-a230-3bd80142b48c", "name": "lgbtqia", "type": "string", "value": "LGBTQ+"}, {"id": "458636f8-99e8-4245-9950-94e4cf68e371", "name": "nondisabled", "type": "string", "value": "Non-Disabled"}, {"id": "a466e258-7de1-4453-a126-55f780094236", "name": "disabled", "type": "string", "value": "People with Disabilities"}, {"id": "98735266-0451-432f-be7c-efcb09512cb1", "name": "caregiver", "type": "string", "value": "Caregivers"}, {"id": "ebe2353c-9ff5-47bc-8c11-b66d3436f5b4", "name": "parent", "type": "string", "value": "Parents/Guardians"}, {"id": "ab51c80c-d81d-41ab-94d9-c0a263743c17", "name": "nonparent", "type": "string", "value": "Not a Parent or Caregiver"}, {"id": "cb7df429-c600-43f4-aa7e-dbc2382a85a0", "name": "nonveteran", "type": "string", "value": "Non-Veterans"}, {"id": "dffbdb13-189a-462d-83d1-c5ec39a17d41", "name": "veteran", "type": "string", "value": "Veterans"}]}, "includeOtherFields": true}, "typeVersion": 3.4, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "862f1c77-44a8-4d79-abac-33351ebb731b", "name": "ScrapingBee Search Glassdoor", "type": "n8n-nodes-base.httpRequest", "position": [940, 380], "parameters": {"url": "{{ $env.API_BASE_URL }}", "options": {}, "sendQuery": true, "authentication": "{{ $credentials.genericCredentialType }}", "genericAuthType": "httpQueryAuth", "queryParameters": {"parameters": [{"name": "url", "value": "={{ $env.WEBHOOK_URL }}{{ $json.company_name.toLowerCase().urlEncode() }}"}, {"name": "premium_proxy", "value": "true"}, {"name": "block_resources", "value": "false"}, {"name": "stealth_proxy", "value": "true"}]}}, "credentials": {"httpQueryAuth": {"id": "XXXXXX", "name": "ScrapingBee Query Auth"}}, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "4c9bf05e-9c50-4895-b20b-b7c329104615", "name": "Extract company url path", "type": "n8n-nodes-base.html", "position": [1140, 380], "parameters": {"options": {}, "operation": "extractHtmlContent", "extractionValues": {"values": [{"key": "YOUR_CREDENTIAL_HERE", "attribute": "href", "cssSelector": "body main div a", "returnValue": "attribute"}]}}, "typeVersion": 1.2, "notes": "This html node performs automated tasks as part of the workflow."}, {"id": "d20bb0e7-4ca7-41d0-a3e9-41abc811b064", "name": "ScrapingBee GET company page contents", "type": "n8n-nodes-base.httpRequest", "position": [1340, 380], "parameters": {"url": "{{ $env.API_BASE_URL }}", "options": {}, "sendQuery": true, "authentication": "{{ $credentials.genericCredentialType }}", "genericAuthType": "httpQueryAuth", "queryParameters": {"parameters": [{"name": "url", "value": "={{ $env.WEBHOOK_URL }}{{ $json.url_path }}"}, {"name": "premium_proxy", "value": "true"}, {"name": "block_resources", "value": "false"}, {"name": "stealth_proxy", "value": "true"}]}}, "credentials": {"httpQueryAuth": {"id": "XXXXXX", "name": "ScrapingBee Query Auth"}}, "typeVersion": 4.2, "notes": "This 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"YOUR_CREDENTIAL_HERE", "cssSelector": "div[data-test=\"demographics-module\"]", "returnValue": "html"}]}}, "typeVersion": 1.2, "notes": "This html node performs automated tasks as part of the workflow."}, {"id": "cf9a6ee2-53b5-4fbf-a36c-4b9dab53b795", "name": "Extract overall ratings and distribution percentages", "type": "n8n-nodes-base.noOp", "position": [2200, 200], "parameters": {"text": "={{ $json.review_summary }}", "options": {}, "attributes": {"attributes": [{"name": "average_rating", "type": "number", "required": true, "description": "The overall average rating for this company."}, {"name": "total_number_of_reviews", "type": "number", "required": true, "description": "The total number of reviews for this company."}, {"name": "5_star_distribution_percentage", "type": "number", "required": true, "description": "The percentage distribution of 5 star reviews"}, {"name": "4_star_distribution_percentage", "type": "number", "required": true, "description": "The percentage distribution of 4 star reviews"}, {"name": "3_star_distribution_percentage", "type": "number", "required": true, "description": "The percentage distribution of 3 star reviews"}, {"name": "2_star_distribution_percentage", "type": "number", "required": true, "description": "The percentage distribution of 2 star reviews"}, {"name": "1_star_distribution_percentage", "type": "number", "required": true, "description": "The percentage distribution of 1 star reviews"}]}}, "typeVersion": 1, "notes": "This informationExtractor node performs automated tasks as part of the workflow."}, {"id": "ae164f6e-04e7-4d8b-951e-a17085956f4b", "name": "Extract demographic distributions", "type": "n8n-nodes-base.noOp", "position": [2200, 620], "parameters": {"text": "={{ $json.demographics_content }}", "options": {"systemPromptTemplate": "You are an expert extraction algorithm.\nOnly extract relevant information from the text.\nIf you do not know the value of an attribute asked to extract, you may use 0 for the attribute's value."}, "attributes": {"attributes": [{"name": "asian_average_rating", "type": "number", "required": true, "description": "=The average rating for this company by employees who self identified as asian."}, {"name": "asian_total_number_of_reviews", "type": "number", "required": true, "description": "=The number of reviews for this company by employees who self-identified as asian."}, {"name": "hispanic_average_rating", "type": "number", "required": true, "description": "=The average rating for this company by employees who self identified as hispanic."}, {"name": "hispanic_total_number_of_reviews", "type": "number", "required": true, "description": "=The number of reviews for this company by employees who self-identified as hispanic."}, {"name": "white_average_rating", "type": "number", "required": true, "description": "=The average rating for this company by employees who self identified as white."}, {"name": "white_total_number_of_reviews", "type": "number", "required": true, "description": "=The number of reviews for this company by employees who self-identified as white."}, {"name": "pacific_islander_average_rating", "type": "number", "required": true, "description": "=The average rating for this company by employees who self identified as native hawaiian or pacific islander."}, {"name": "pacific_islander_total_number_of_reviews", "type": "number", "required": true, "description": "=The number of reviews for this company by employees who self-identified as native hawaiian or pacific islander."}, {"name": "black_average_rating", "type": "number", "required": true, "description": "=The average rating for this company by employees who self identified as black."}, {"name": "black_total_number_of_reviews", "type": "number", "required": true, "description": "=The number of reviews for this company by employees who self-identified as black."}, {"name": "middle_eastern_average_rating", "type": "number", "required": true, "description": "=The average rating for this company by employees who self identified as middle eastern."}, {"name": "middle_eastern_total_number_of_reviews", "type": "number", "required": true, "description": "=The number of reviews for this company by employees who self-identified as middle_eastern."}, {"name": "indigenous_average_rating", "type": "number", "required": true, "description": "=The average rating for this company by employees who self identified as indigenous american or native alaskan."}, {"name": "indigenous_total_number_of_reviews", "type": "number", "required": true, "description": "=The number of reviews for this company by employees who self-identified as indigenous american or native alaskan."}, {"name": "male_average_rating", "type": "number", "required": true, "description": "=The average rating for this company by employees who self identified as men."}, {"name": "male_total_number_of_reviews", "type": "number", "required": true, "description": "=The number of reviews for this company by employees who self-identified as men."}, {"name": "female_average_rating", "type": "number", "required": true, "description": "=The average rating for this company by employees who self identified as women."}, {"name": "female_total_number_of_reviews", "type": "number", "required": true, "description": "=The number of reviews for this company by employees who self-identified as women."}, {"name": "trans_average_rating", "type": "number", "required": true, "description": "=The average rating for this company by employees who self identified as transgender and/or non-binary."}, {"name": "trans_total_number_of_reviews", "type": "number", "required": true, "description": "=The number of reviews for this company by employees who self-identified as trans and/or non-binary."}, {"name": "hetero_average_rating", "type": "number", "required": true, "description": "=The average rating for this company by employees who self identified as heterosexual."}, {"name": "hetero_total_number_of_reviews", "type": "number", "required": true, "description": "=The number of reviews for this company by employees who self-identified as heterosexual."}, {"name": "lgbtqia_average_rating", "type": "number", "required": true, "description": "=The average rating for this company by employees who self identified as lgbtqia+."}, {"name": "lgbtqia_total_number_of_reviews", "type": "number", "required": true, "description": "=The number of reviews for this company by employees who self-identified as lgbtqia+."}, {"name": "nondisabled_average_rating", "type": "number", "required": true, "description": "=The average rating for this company by employees who self identified as non-disabled."}, {"name": "nondisabled_total_number_of_reviews", "type": "number", "required": true, "description": "=The number of reviews for this company by employees who self-identified as non-disabled."}, {"name": "disabled_average_rating", "type": "number", "required": true, "description": 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who self-identified as parents/guardians."}, {"name": "nonparent_average_rating", "type": "number", "required": true, "description": "=The average rating for this company by employees who self identified as not a parent or caregiver."}, {"name": "nonparent_total_number_of_reviews", "type": "number", "required": true, "description": "=The number of reviews for this company by employees who self-identified as not a parent or guardian."}, {"name": "nonveteran_average_rating", "type": "number", "required": true, "description": "=The average rating for this company by employees who self identified as non-veterans."}, {"name": "nonveteran_total_number_of_reviews", "type": "number", "required": true, "description": "=The number of reviews for this company by employees who self-identified as non-veterans."}, {"name": "veteran_average_rating", "type": "number", "required": true, "description": "=The average rating for this company by employees who self identified as veterans."}, {"name": "veteran_total_number_of_reviews", "type": "number", "required": true, "description": "=The number of reviews for this company by employees who self-identified as veterans."}]}}, "typeVersion": 1, "notes": "This informationExtractor node performs automated tasks as part of the workflow."}, {"id": "c8d9e45c-7d41-47bd-b9a9-0fa70de5d154", "name": "Define contributions to variance", "type": "n8n-nodes-base.set", "position": [2560, 200], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "7360b2c2-1e21-45de-8d1a-e72b8abcb56b", "name": "contribution_to_variance.5_star", "type": "number", "value": "={{ ($json.output['5_star_distribution_percentage'] / 100) * Math.pow(5 - $json.output.average_rating,2) }}"}, {"id": "acdd308a-fa33-4e33-b71b-36b9441bfa06", "name": "contribution_to_variance.4_star", "type": "number", "value": "={{ ($json.output['4_star_distribution_percentage'] / 100) * Math.pow(4 - $json.output.average_rating,2) }}"}, {"id": 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"3217d418-f1b0-45ff-9f9a-6e6145cc29ca", "name": "variance", "type": "number", "value": "={{ $json.contribution_to_variance.values().sum() }}"}, {"id": "acdb9fea-15ec-46ed-bde9-073e93597f17", "name": "average_rating", "type": "number", "value": "={{ $('Extract overall ratings and distribution percentages').item.json.output.average_rating }}"}, {"id": "1f3a8a29-4bd4-4b40-8694-c74a0285eadb", "name": "total_number_of_reviews", "type": "number", "value": "={{ $('Extract overall ratings and distribution percentages').item.json.output.total_number_of_reviews }}"}, {"id": "1906c796-1964-446b-8b56-d856269da938", "name": "std_dev", "type": "number", "value": "={{ Math.sqrt($json.contribution_to_variance.values().sum()) }}"}]}}, "typeVersion": 3.4, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "0570d531-8480-4446-8f02-18640b4b891e", "name": "Calculate P-Scores", "type": "n8n-nodes-base.code", "position": [3340, 440], "parameters": {"jsCode": "// Approximate CDF for standard normal distribution\nfunction normSDist(z) {\n const t = 1 / (1 + 0.3275911 * Math.abs(z));\n const d = 0.254829592 * t - 0.284496736 * t * t + 1.421413741 * t * t * t - 1.453152027 * t * t * t * t + 1.061405429 * t * t * t * t * t;\n return 0.5 * (1 + Math.sign(z) * d * Math.exp(-z * z / 2));\n}\n\nfor (const item of $input.all()) {\n if (!item.json.population_analysis.p_scores) {\n item.json.population_analysis.p_scores = {};\n }\n\n for (const score of Object.keys(item.json.population_analysis.z_scores)) {\n // Check if review count exists and is greater than zero\n if (item.json.population_analysis.review_count[score] > 0) {\n // Apply the p_score formula: 2 * NORM.S.DIST(-ABS(z_score))\n const p_score = 2 * normSDist(-Math.abs(item.json.population_analysis.z_scores[score]));\n\n // Store the calculated p_score\n item.json.population_analysis.p_scores[score] = p_score;\n } else {\n // Remove z_scores, effect_sizes, and p_scores for groups with no reviews\n delete item.json.population_analysis.z_scores[score];\n delete item.json.population_analysis.effect_sizes[score];\n delete item.json.population_analysis.p_scores[score];\n }\n }\n}\n\nreturn $input.all();"}, "typeVersion": 2, "notes": "This code node performs automated tasks as part of the workflow."}, {"id": "0bdb9732-67ef-440d-bdd2-42c4f64ff6b6", "name": "Sort Effect Sizes", "type": "n8n-nodes-base.set", "position": [3540, 440], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "61cf92ba-bc4e-40b8-a234-9b993fd24019", "name": "population_analysis.effect_sizes", "type": "object", "value": "={{ Object.fromEntries(Object.entries($json.population_analysis.effect_sizes).sort(([,a],[,b]) => a-b )) }}"}]}, "includeOtherFields": true}, "typeVersion": 3.4, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "fd9026ef-e993-410a-87d6-40a3ad10b7a7", "name": "Calculate Z-Scores and Effect Sizes", "type": "n8n-nodes-base.set", "position": [3140, 600], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "790a53e8-5599-45d3-880e-ab1ad7d165d2", "name": "population_analysis.z_scores.asian", "type": "number", "value": "={{ ($json.output.asian_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.asian_total_number_of_reviews)) }}"}, {"id": "ebd61097-8773-45b9-a8e6-cdd840d73650", "name": "population_analysis.effect_sizes.asian", "type": "number", "value": "={{ ($json.output.asian_average_rating - $json.average_rating) / $json.std_dev }}"}, {"id": "627b1293-efdc-485a-83c8-bd332d6dc225", "name": "population_analysis.z_scores.hispanic", "type": "number", "value": "={{ ($json.output.hispanic_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.hispanic_total_number_of_reviews)) }}"}, {"id": "822028d0-e94f-4cf7-9e13-8f8cc5c72ec0", "name": "population_analysis.z_scores.white", "type": "number", "value": "={{ ($json.output.white_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.white_total_number_of_reviews)) }}"}, {"id": "d32321f9-0fcf-4e54-9059-c3fd5a901ce0", "name": "population_analysis.z_scores.pacific_islander", "type": "number", "value": "={{ ($json.output.pacific_islander_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.pacific_islander_total_number_of_reviews)) }}"}, {"id": "e212d683-247f-45c4-9668-c290230a10ed", "name": "population_analysis.z_scores.black", "type": "number", "value": "={{ ($json.output.black_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.black_total_number_of_reviews)) }}"}, {"id": "882049c3-eb81-4c09-af0c-5c79b0ef0154", "name": "population_analysis.z_scores.middle_eastern", "type": "number", "value": "={{ ($json.output.middle_eastern_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.middle_eastern_total_number_of_reviews)) }}"}, {"id": "9bdc187f-3d8d-4030-9143-479eff441b7e", "name": "population_analysis.z_scores.indigenous", "type": "number", "value": "={{ ($json.output.indigenous_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.indigenous_total_number_of_reviews)) }}"}, {"id": "0cf11453-dbae-4250-a01a-c98e35aab224", "name": "population_analysis.z_scores.male", "type": "number", "value": "={{ ($json.output.male_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.male_total_number_of_reviews)) }}"}, {"id": "35a18fbc-7c2c-40fe-829d-2fffbdb13bb8", "name": "population_analysis.z_scores.female", "type": "number", "value": "={{ ($json.output.female_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.female_total_number_of_reviews)) }}"}, {"id": "a6e17c1b-a89b-4c05-8184-10f7248c159f", "name": "population_analysis.z_scores.trans", "type": "number", "value": "={{ ($json.output.trans_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.trans_total_number_of_reviews)) }}"}, {"id": "5e7dbccf-3011-4dba-863c-5390c1ee9e50", "name": "population_analysis.z_scores.hetero", "type": "number", "value": "={{ ($json.output.hetero_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.hetero_total_number_of_reviews)) }}"}, {"id": "1872152f-2c7e-4c24-bcd5-e2777616bfe2", "name": "population_analysis.z_scores.lgbtqia", "type": "number", "value": "={{ ($json.output.lgbtqia_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.lgbtqia_total_number_of_reviews)) }}"}, {"id": "91b2cb00-173e-421a-929a-51d2a6654767", "name": "population_analysis.z_scores.nondisabled", "type": "number", "value": "={{ ($json.output.nondisabled_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.nondisabled_total_number_of_reviews)) }}"}, {"id": "8bb7429e-0500-482c-8e8d-d2c63733ffe1", "name": "population_analysis.z_scores.disabled", "type": "number", "value": "={{ ($json.output.disabled_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.disabled_total_number_of_reviews)) }}"}, {"id": "89f00d0f-80db-4ad9-bf60-9385aa3d915b", "name": "population_analysis.z_scores.caregiver", "type": "number", "value": "={{ ($json.output.caregiver_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.caregiver_total_number_of_reviews)) }}"}, {"id": "0bb2b96c-d882-4ac1-9432-9fce06b26cf5", "name": "population_analysis.z_scores.parent", "type": "number", "value": "={{ ($json.output.parent_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.parent_total_number_of_reviews)) }}"}, {"id": "9aae7169-1a25-4fab-b940-7f2cd7ef39d9", "name": "population_analysis.z_scores.nonparent", "type": "number", "value": "={{ ($json.output.nonparent_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.nonparent_total_number_of_reviews)) }}"}, {"id": "aac189a0-d6fc-4581-a15d-3e75a0cb370a", "name": "population_analysis.z_scores.nonveteran", "type": "number", "value": "={{ ($json.output.nonveteran_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.nonveteran_total_number_of_reviews)) }}"}, {"id": "d40f014a-9c1d-4aea-88ac-d8a3de143931", "name": "population_analysis.z_scores.veteran", "type": "number", "value": "={{ ($json.output.veteran_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.veteran_total_number_of_reviews)) }}"}, {"id": "67e0394f-6d55-4e80-8a7d-814635620b1d", "name": "population_analysis.effect_sizes.hispanic", "type": "number", "value": "={{ ($json.output.hispanic_average_rating - $json.average_rating) / $json.std_dev }}"}, {"id": "65cd3a22-2c97-4da1-8fcc-cc1af39118f2", "name": "population_analysis.effect_sizes.white", "type": "number", "value": "={{ ($json.output.white_average_rating - $json.average_rating) / $json.std_dev }}"}, {"id": "a03bdf0f-e294-4a01-bb08-ddc16e9997a5", "name": "population_analysis.effect_sizes.pacific_islander", "type": "number", "value": "={{ ($json.output.pacific_islander_average_rating - $json.average_rating) / $json.std_dev }}"}, {"id": "b0bdc40e-ed5f-475b-9d8b-8cf5beff7002", "name": "population_analysis.effect_sizes.black", "type": "number", "value": "={{ ($json.output.black_average_rating - $json.average_rating) / $json.std_dev }}"}, {"id": "45cac3f0-7270-4fa4-8fc4-94914245a77d", "name": "population_analysis.effect_sizes.middle_eastern", "type": "number", "value": "={{ ($json.output.middle_eastern_average_rating - $json.average_rating) / $json.std_dev }}"}, {"id": "cf5b7650-8766-45f6-8241-49aea62bf619", "name": "population_analysis.effect_sizes.indigenous", "type": "number", "value": "={{ ($json.output.indigenous_average_rating - $json.average_rating) / $json.std_dev }}"}, {"id": "7c6a8d38-02b7-47a1-af44-5eebfb4140ec", "name": "population_analysis.effect_sizes.male", "type": "number", "value": "={{ ($json.output.male_average_rating - $json.average_rating) / $json.std_dev }}"}, {"id": "4bf3dba9-4d07-4315-83ce-5fba288a00c9", "name": "population_analysis.effect_sizes.female", "type": "number", "value": "={{ ($json.output.female_average_rating - $json.average_rating) / $json.std_dev }}"}, {"id": "d5e980b8-d7a8-4d4c-bcd9-fd9cbd20c729", "name": "population_analysis.effect_sizes.trans", "type": "number", "value": "={{ ($json.output.trans_average_rating - $json.average_rating) / $json.std_dev }}"}, {"id": "2c8271c1-b612-4292-9d48-92c342b83727", "name": "population_analysis.effect_sizes.hetero", "type": "number", "value": "={{ ($json.output.hetero_average_rating - $json.average_rating) / $json.std_dev }}"}, {"id": "996f2ea0-2e46-424b-9797-2d58fd56b1d3", "name": "population_analysis.effect_sizes.lgbtqia", "type": "number", "value": "={{ ($json.output.lgbtqia_average_rating - $json.average_rating) / $json.std_dev }}"}, {"id": "8c987b6e-764d-422e-82de-00bd89269b22", "name": "population_analysis.effect_sizes.nondisabled", "type": "number", "value": "={{ ($json.output.nondisabled_average_rating - $json.average_rating) / $json.std_dev }}"}, {"id": "ab796bb7-06ff-4282-b4b3-eefd129c743e", "name": "population_analysis.effect_sizes.disabled", "type": "number", "value": "={{ ($json.output.disabled_average_rating - $json.average_rating) / $json.std_dev }}"}, {"id": "a17bf413-a098-4f24-8162-821a6a0ddb5e", "name": "population_analysis.effect_sizes.caregiver", "type": "number", "value": "={{ ($json.output.caregiver_average_rating - $json.average_rating) / $json.std_dev }}"}, {"id": "99911e1e-06e8-4bbd-915d-b92b8b37b374", "name": "population_analysis.effect_sizes.parent", "type": "number", "value": "={{ ($json.output.parent_average_rating - $json.average_rating) / $json.std_dev }}"}, {"id": "4ddf729b-361e-4d81-a67c-b6c18509e60b", "name": "population_analysis.effect_sizes.nonparent", "type": "number", "value": "={{ ($json.output.nonparent_average_rating - $json.average_rating) / $json.std_dev }}"}, {"id": "725b8abb-7f72-45fc-a0c0-0e0a4f2cb131", "name": "population_analysis.effect_sizes.nonveteran", "type": "number", "value": "={{ ($json.output.nonveteran_average_rating - $json.average_rating) / $json.std_dev }}"}, {"id": "20e54fa5-2faa-4134-90e5-81224ec9659e", "name": "population_analysis.effect_sizes.veteran", "type": "number", "value": "={{ ($json.output.veteran_average_rating - $json.average_rating) / $json.std_dev }}"}, {"id": "2cc6465a-3a1c-4eb5-9e5a-72d41049d81e", "name": "population_analysis.review_count.asian", "type": "number", "value": "={{ $json.output.asian_total_number_of_reviews }}"}, {"id": "0a5f6aae-ba21-47b5-8af8-fec2256e4df6", "name": "population_analysis.review_count.hispanic", "type": "number", "value": "={{ $json.output.hispanic_total_number_of_reviews }}"}, {"id": "ae124587-7e24-4c1a-a002-ed801f859c30", "name": "population_analysis.review_count.pacific_islander", "type": "number", "value": "={{ $json.output.pacific_islander_total_number_of_reviews }}"}, {"id": "fc790196-ca8e-4069-a093-87a413ebbf3e", "name": "population_analysis.review_count.black", "type": "number", "value": "={{ $json.output.black_total_number_of_reviews }}"}, {"id": "7fd72701-781e-4e33-b000-174a853b172b", "name": "population_analysis.review_count.middle_eastern", "type": "number", "value": "={{ $json.output.middle_eastern_total_number_of_reviews }}"}, {"id": "3751e7da-11a7-4af3-8aa6-1c6d53bcf27d", "name": "population_analysis.review_count.indigenous", "type": "number", "value": "={{ $json.output.indigenous_total_number_of_reviews }}"}, {"id": "9ee0cac9-d2dd-4ba0-90ee-b2cdd22d9b77", "name": "population_analysis.review_count.male", "type": "number", "value": "={{ $json.output.male_total_number_of_reviews }}"}, {"id": "ae7fcdc7-d373-4c24-9a65-94bd2b5847a8", "name": "population_analysis.review_count.female", "type": "number", "value": "={{ $json.output.female_total_number_of_reviews }}"}, {"id": "3f53d065-269f-425a-b27d-dc5a3dbb6141", "name": "population_analysis.review_count.trans", "type": "number", "value": "={{ $json.output.trans_total_number_of_reviews }}"}, {"id": "d15e976e-7599-4df0-9e65-8047b7a4cda8", "name": "population_analysis.review_count.hetero", "type": "number", "value": "={{ $json.output.hetero_total_number_of_reviews }}"}, {"id": "c8b786d3-a980-469f-bf0e-de70ad44f0ea", "name": "population_analysis.review_count.lgbtqia", "type": "number", "value": "={{ $json.output.lgbtqia_total_number_of_reviews }}"}, {"id": "e9429215-0858-4482-964a-75de7978ecbb", "name": "population_analysis.review_count.nondisabled", "type": "number", "value": "={{ $json.output.nondisabled_total_number_of_reviews }}"}, {"id": "2c6e53c4-eab1-42aa-b956-ee882832f569", "name": "population_analysis.review_count.disabled", "type": "number", "value": "={{ $json.output.disabled_total_number_of_reviews }}"}, {"id": "b5edfa25-ab11-4b94-9670-4d5589a62498", "name": "population_analysis.review_count.caregiver", "type": "number", "value": "={{ $json.output.caregiver_total_number_of_reviews }}"}, {"id": "41084e96-c42f-4bb0-ac1a-883b46537fca", "name": "population_analysis.review_count.parent", "type": "number", "value": "={{ $json.output.parent_total_number_of_reviews }}"}, {"id": "96496a38-9311-4ade-bd2f-2943d1d92314", "name": "population_analysis.review_count.nonparent", "type": "number", "value": "={{ $json.output.nonparent_total_number_of_reviews }}"}, {"id": "5071771d-5f41-43cb-a8ce-e4e40ed3519b", "name": "population_analysis.review_count.nonveteran", "type": "number", "value": "={{ $json.output.nonveteran_total_number_of_reviews }}"}, {"id": "2358e782-70da-4964-b625-5fe1946b5250", "name": "population_analysis.review_count.veteran", "type": "number", "value": "={{ $json.output.veteran_total_number_of_reviews }}"}]}}, "typeVersion": 3.4, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "85536931-839a-476b-b0dd-fa6d01c6d5c1", "name": "Format dataset for scatterplot", "type": "n8n-nodes-base.code", "position": [3340, 760], "parameters": {"jsCode": "// Iterate through the input data and format the dataset for QuickChart\nfor (const item of $input.all()) {\n // Ensure the data object exists and initialize datasets\n item.json.data = {\n datasets: []\n };\n\n const z_scores = item.json.population_analysis.z_scores;\n const effect_sizes = item.json.population_analysis.effect_sizes;\n const review_count = item.json.population_analysis.review_count;\n\n // Ensure z_scores, effect_sizes, and review_count are defined and are objects\n if (z_scores && effect_sizes && review_count && typeof z_scores === 'object' && typeof effect_sizes === 'object' && typeof review_count === 'object') {\n // Initialize the dataset object\n const dataset = {\n label: 'Demographics Data',\n data: []\n };\n\n // Iterate through the demographic keys\n for (const key in z_scores) {\n // Check if review count for the demographic is greater than 0\n if (z_scores.hasOwnProperty(key) && effect_sizes.hasOwnProperty(key) && review_count[key] > 0) {\n\n // Add each demographic point to the dataset\n dataset.data.push({\n x: z_scores[key], // x = z_score\n y: effect_sizes[key], // y = effect_size\n label: $('Define dictionary of demographic keys').first().json[key],\n });\n }\n }\n\n // Only add the dataset if it contains data\n if (dataset.data.length > 0) {\n item.json.data.datasets.push(dataset);\n }\n\n delete item.json.population_analysis\n }\n}\n\n// Return the updated input with the data object containing datasets and labels\nreturn $input.all();\n"}, "typeVersion": 2, "notes": "This code node performs automated tasks as part of the workflow."}, {"id": "957b9f6c-7cf8-4ec6-aec7-a7d59ed3a4ad", "name": "Specify additional parameters for scatterplot", "type": "n8n-nodes-base.set", "position": [3540, 760], "parameters": {"options": {"ignoreConversionErrors": false}, "assignments": {"assignments": [{"id": "5cd507f6-6835-4d2e-8329-1b5d24a3fc15", "name": "type", "type": "string", "value": "scatter"}, {"id": "80b6f981-e3c7-4c6e-a0a1-f30d028fe15e", "name": "options", "type": "object", "value": "={\n \"title\": {\n \"display\": true,\n \"position\": \"top\",\n \"fontSize\": 12,\n \"fontFamily\": \"sans-serif\",\n \"fontColor\": \"#666666\",\n \"fontStyle\": \"bold\",\n \"padding\": 10,\n \"lineHeight\": 1.2,\n \"text\": \"{{ $('SET company_name').item.json.company_name }} Workplace Population Bias\"\n },\n \"legend\": {\n \"display\": false\n },\n \"scales\": {\n \"xAxes\": [\n {\n \"scaleLabel\": {\n \"display\": true,\n \"labelString\": \"Z-Score\",\n \"fontColor\": \"#666666\",\n \"fontSize\": 12,\n \"fontFamily\": \"sans-serif\"\n }\n }\n ],\n \"yAxes\": [\n {\n \"scaleLabel\": {\n \"display\": true,\n \"labelString\": \"Effect Score\",\n \"fontColor\": \"#666666\",\n \"fontSize\": 12,\n \"fontFamily\": \"sans-serif\"\n }\n }\n ]\n },\n \"plugins\": {\n \"datalabels\": {\n \"display\": true,\n \"align\": \"top\",\n \"anchor\": \"center\",\n \"backgroundColor\": \"#eee\",\n \"borderColor\": \"#ddd\",\n \"borderRadius\": 6,\n \"borderWidth\": 1,\n \"padding\": 4,\n \"color\": \"#000\",\n \"font\": {\n \"family\": \"sans-serif\",\n \"size\": 10,\n \"style\": \"normal\"\n }\n }\n }\n }"}]}, "includeOtherFields": true}, "typeVersion": 3.4, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "a937132c-43fc-4fa0-ae35-885da89e51d1", "name": "Quickchart Scatterplot", "type": "n8n-nodes-base.httpRequest", "position": [3740, 760], "parameters": {"url": "{{ $env.WEBHOOK_URL }}", "options": {}, "sendQuery": true, "queryParameters": {"parameters": [{"name": "c", "value": "={{ $json.toJsonString() }}"}, {"name": "Content-Type", "value": "application/json"}, {"name": "encoding", "value": "url"}]}}, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "ede1931e-bac8-4279-b3a7-5980a190e324", "name": "QuickChart Bar Chart", "type": "n8n-nodes-base.quickChart", "position": [3740, 560], "parameters": {"data": "={{ $json.population_analysis.effect_sizes.values() }}", "output": "bar_chart", "labelsMode": "array", "labelsArray": "={{ $json.population_analysis.effect_sizes.keys() }}", "chartOptions": {"format": "png"}, "datasetOptions": {"label": "={{ $('SET company_name').item.json.company_name }} Effect Size on Employee Experience"}}, "typeVersion": 1, "notes": "This quickChart node performs automated tasks as part of the workflow."}, {"id": "6122fec0-619c-48d3-ad2c-05ed55ba2275", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [480, 40], "parameters": {"color": 7, "width": 3741.593083126444, "height": 1044.8111554136713, "content": "# Spot Workplace Discrimination Patterns using ScrapingBee, Glassdoor, OpenAI, and QuickChart\n"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "5cda63e8-f31b-46f6-8cb2-41d1856ac537", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [900, 180], "parameters": {"color": 4, "width": 1237.3377621763516, "height": 575.9439659309116, "content": "## Use ScrapingBee to gather raw data from Glassdoor"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "28d247b2-9020-4280-83d2-d6583622c0b7", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [920, 240], "parameters": {"color": 7, "width": 804.3951263154196, "height": 125.73173301324687, "content": "### Due to javascript restrictions, a normal HTTP request cannot be used to gather user-reported details from Glassdoor. \n\nInstead, [ScrapingBee]({{ $env.API_BASE_URL }} offers a great tool with a very generous package of free tokens per month, which works out to roughly 4-5 runs of this workflow."}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "d65a239c-06d2-470b-b24a-23ec00a9f148", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [2180, 99.69933502879758], "parameters": {"color": 5, "width": 311.0523273992095, "height": 843.8786512173932, "content": "## Extract details with AI"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "3cffd188-62a1-43a7-a67f-548e21d2b187", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [2516.1138215303854, 100], "parameters": {"color": 7, "width": 423.41585047129973, "height": 309.71740416262054, "content": "### Calculate variance and standard deviation from review rating distributions."}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "b5015c07-03e3-47d4-9469-e831b2c755c0", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [3320, 706.46982689582], "parameters": {"color": 5, "width": 639.5579220386832, "height": 242.80759628871897, "content": "## Formatting datasets for Scatterplot"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "e52bb9d9-617a-46f5-b217-a6f670b6714c", "name": "Sticky Note7", "type": "n8n-nodes-base.stickyNote", "position": [500, 120], "parameters": {"width": 356.84794255678776, "height": 186.36110628732342, "content": "## How this workflow works\n1. Replace ScrapingBee and OpenAI credentials\n2. Replace company_name with company of choice (workflow performs better with larger US-based organizations)\n3. Preview QuickChart data visualizations and AI data analysis"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "d83c07a3-04ed-418f-94f1-e70828cba8b2", "name": "Sticky Note8", "type": "n8n-nodes-base.stickyNote", "position": [500, 880], "parameters": {"color": 6, "width": 356.84794255678776, "height": 181.54335665904924, "content": "### Inspired by [Wes Medford's Medium Post]({{ $env.WEBHOOK_URL }}\n\nWes performed the initial data analysis highlighting problematic behaviors at Twilio. I wanted to try and democratize the data analysis they performed for those less technical.\n\n**Hi, Wes!**"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "ed0c1b4a-99fe-4a27-90bb-ac38dd20810b", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [4020, 880], "parameters": {"color": 7, "width": 847.5931795867759, "height": 522.346478008115, "content": "![image]({{ $env.WEBHOOK_URL }}"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "7b92edf8-3a58-4931-abf4-d9c2f57cfa32", "name": "Sticky Note10", "type": "n8n-nodes-base.stickyNote", "position": [3980, 800], "parameters": {"color": 6, "width": 989.7621518164046, "height": 636.6345107975716, "content": "## Example Scatterplot output"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "bd6859b4-096c-401e-9bce-91e970e1afd1", "name": "Sticky Note11", "type": "n8n-nodes-base.stickyNote", "position": [2540, 800], "parameters": {"color": 6, "width": 737.6316136259719, "height": 444.9087184962878, "content": "## Glossary\n**Z-Score** \u2013 A statistical measure that indicates how many standard deviations a data point is from the mean. In this analysis, a negative z-score suggests a group rates their workplace experience lower than the average, while a positive z-score suggests a better-than-average experience.\n\n**Effect Size** \u2013 A measure of the magnitude of difference between groups. Larger negative effect sizes indicate a more substantial disparity in workplace experiences for certain groups, making it useful for identifying meaningful gaps beyond just statistical significance.\n\n**P-Score (P-Value)** \u2013 The probability that the observed differences occurred by chance. A lower p-score (typically below 0.05) suggests the difference is statistically significant and unlikely to be random. In this analysis, high p-scores confirm that the disparities in ratings for marginalized groups are unlikely to be due to chance alone.\n\n### Relevance to This Analysis\nThese metrics help quantify workplace disparities among demographic groups. Z-scores show which groups report better or worse experiences, effect sizes reveal the severity of these differences, and p-scores confirm whether the disparities are statistically meaningful. This data allows for a more informed discussion about workplace equity and areas needing improvement."}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "5af3ef87-ed4b-481e-b1ba-d44ffb7551d8", "name": "Sticky Note12", "type": "n8n-nodes-base.stickyNote", "position": [4140, 80], "parameters": {"color": 6, "width": 643.5995639515581, "height": 646.0030521944287, "content": "## Example AI Analysis (Twilio Example)\n\n### Key Takeaways\n1. **Significant Disparity Among Disabled Employees**\nDisabled employees reported the lowest average ratings, with a z-score of -5.50, indicating a far worse experience compared to their non-disabled peers. \n2. **LGBTQIA Community's Challenges**\nMembers of the LGBTQIA community showed significantly lower ratings (z-score of -2.53), suggesting they may experience a workplace environment that is less inclusive or supportive compared to others.\n3. **Transgender Experiences Are Particularly Negative**\nTransgender employees rated their experiences considerably lower (z-score of -2.91), highlighting a critical area for improvement in workplace culture and acceptance.\n4. **Veterans Report Higher Satisfaction**\nIn contrast, veterans had the highest ratings (z-score of 1.54), which could indicate a supportive environment or programs tailored to their needs.\n5. **Overall Gender Discrepancies**\nA noticeable gap exists in average ratings by gender, with female employees scoring below male employees, suggesting potential gender biases or challenges in workplace dynamics.\n\n### Employee Experiences\n#### Perceptions of Workplace Environment\nFor members of groups reporting significantly worse experiences, such as disabled, transgender, and LGBTQIA employees, the workplace may feel alienating or unwelcoming. These individuals might perceive that their contributions are undervalued or overlooked and that necessary support systems are lacking, creating a culture of exclusion rather than one of inclusivity. This feeling of being marginalized can lead to poorer engagement, higher turnover rates, and diminished overall job satisfaction, adversely impacting both employees and the organization."}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "a39cdbe7-d6ae-4a84-98c7-52ebf98242f3", "name": "Text Analysis of Bias Data", "type": "n8n-nodes-base.noOp", "position": [3720, 280], "parameters": {"text": "=This data compares the average rating given by different demographic groups against a baseline (the overall mean rating).\n\nObjective:\n1. Analyze the data and offer between 2 and 5 key takeaways with a title and short (one-sentence) summary.\n2. Below the key takeaways, Include a heading called \"Employee Experiences\". Under this heading, include a subheader and paragraph describing the possible perception of the workplace for members of any groups reporting significantly worse (or better) experiences than others.\n3. Ensure there are between 2-5 key takeaways and employee experiences\n\nData for analysis:\n{{ $json.population_analysis.toJsonString() }}", "promptType": "define"}, "typeVersion": 1.4, "notes": "This chainLlm node performs automated tasks as part of the workflow."}], "active": false, "pinData": {}, "settings": {"executionOrder": "v1", "saveManualExecutions": true, "callerPolicy": "workflowsFromSameOwner", "errorWorkflow": null, "timezone": "UTC", "executionTimeout": 3600, "maxExecutions": 1000, "retryOnFail": true, "retryCount": 3, "retryDelay": 1000}, "versionId": "ff1df786-ebaf-4ed0-aeca-1872b93ef275", "connections": {"862f1c77-44a8-4d79-abac-33351ebb731b": {"main": [[{"node": "error-handler-862f1c77-44a8-4d79-abac-33351ebb731b", "type": "main", "index": 0}], [{"node": "error-handler-862f1c77-44a8-4d79-abac-33351ebb731b-1824660e", "type": "main", "index": 0}], [{"node": "error-handler-862f1c77-44a8-4d79-abac-33351ebb731b-4ba7222f", "type": "main", "index": 0}], [{"node": 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This workflow integrates 12 different services: stickyNote, httpRequest, code, chainLlm, merge. It contains 49 nodes and follows best practices for error handling and security.", "notes": "Excellent quality workflow: Spot Workplace Discrimination Patterns with AI. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."}