Spot Workplace Discrimination Patterns with AI
工作流概述
这是一个包含38个节点的复杂工作流，主要用于自动化处理各种任务。
工作流源代码
{
"id": "vzU9QRZsHcyRsord",
"meta": {
"instanceId": "a9f3b18652ddc96459b459de4fa8fa33252fb820a9e5a1593074f3580352864a",
"templateCredsSetupCompleted": true
},
"name": "Spot Workplace Discrimination Patterns with AI",
"tags": [
{
"id": "76EYz9X3GU4PtgSS",
"name": "human_resources",
"createdAt": "2025-01-30T18:52:17.614Z",
"updatedAt": "2025-01-30T18:52:17.614Z"
},
{
"id": "ey2Mx4vNaV8cKvao",
"name": "openai",
"createdAt": "2024-12-23T07:10:13.400Z",
"updatedAt": "2024-12-23T07:10:13.400Z"
}
],
"nodes": [
{
"id": "b508ab50-158a-4cbf-a52e-f53e1804e770",
"name": "When clicking ‘Test workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
280,
380
],
"parameters": {},
"typeVersion": 1
},
{
"id": "11a1a2d5-a274-44f7-97ca-5666a59fcb31",
"name": "OpenAI Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
2220,
800
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "XXXXXX",
"name": "OpenAi account"
}
},
"typeVersion": 1
},
{
"id": "395f7b67-c914-4aae-8727-0573fdbfc6ad",
"name": "OpenAI Chat Model2",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
2220,
380
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "XXXXXX",
"name": "OpenAi account"
}
},
"typeVersion": 1
},
{
"id": "6ab194a9-b869-4296-aea9-19afcbffc0d7",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
2940,
600
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3
},
{
"id": "1eba1dd7-a164-4c70-8c75-759532bd16a0",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
3840,
420
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "XXXXXX",
"name": "OpenAi account"
}
},
"typeVersion": 1
},
{
"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
},
{
"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
},
{
"id": "862f1c77-44a8-4d79-abac-33351ebb731b",
"name": "ScrapingBee Search Glassdoor",
"type": "n8n-nodes-base.httpRequest",
"position": [
940,
380
],
"parameters": {
"url": "https://app.scrapingbee.com/api/v1",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth",
"queryParameters": {
"parameters": [
{
"name": "url",
"value": "=https://www.glassdoor.com/Search/results.htm?keyword={{ $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
},
{
"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": "url_path",
"attribute": "href",
"cssSelector": "body main div a",
"returnValue": "attribute"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "d20bb0e7-4ca7-41d0-a3e9-41abc811b064",
"name": "ScrapingBee GET company page contents",
"type": "n8n-nodes-base.httpRequest",
"position": [
1340,
380
],
"parameters": {
"url": "https://app.scrapingbee.com/api/v1",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth",
"queryParameters": {
"parameters": [
{
"name": "url",
"value": "=https://www.glassdoor.com{{ $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
},
{
"id": "fce70cab-8ce3-4ce2-b040-ce80d66b1e62",
"name": "Extract reviews page url path",
"type": "n8n-nodes-base.html",
"position": [
1540,
380
],
"parameters": {
"options": {},
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "url_path",
"attribute": "href",
"cssSelector": "#reviews a",
"returnValue": "attribute"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "d2e7fee9-e3d4-42bf-8be6-38b352371273",
"name": "ScrapingBee GET Glassdoor Reviews Content",
"type": "n8n-nodes-base.httpRequest",
"position": [
1760,
380
],
"parameters": {
"url": "https://app.scrapingbee.com/api/v1",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth",
"queryParameters": {
"parameters": [
{
"name": "url",
"value": "=https://www.glassdoor.com{{ $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
},
{
"id": "0c322823-0569-4bd5-9c4e-af3de0f8d7b4",
"name": "Extract Overall Review Summary",
"type": "n8n-nodes-base.html",
"position": [
1980,
260
],
"parameters": {
"options": {},
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "review_summary",
"cssSelector": "div[data-test=\"review-summary\"]",
"returnValue": "html"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "851305ba-0837-4be9-943d-7282e8d74aee",
"name": "Extract Demographics Module",
"type": "n8n-nodes-base.html",
"position": [
1980,
520
],
"parameters": {
"options": {},
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "demographics_content",
"cssSelector": "div[data-test=\"demographics-module\"]",
"returnValue": "html"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "cf9a6ee2-53b5-4fbf-a36c-4b9dab53b795",
"name": "Extract overall ratings and distribution percentages",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"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
},
{
"id": "ae164f6e-04e7-4d8b-951e-a17085956f4b",
"name": "Extract demographic distributions",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
2200,
620
],
"parameters": {
"text": "={{ $json.demographics_content }}",
"options": {
"systemPromptTemplate": "You are an expert extraction algorithm.
Only extract relevant information from the text.
If 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": "=The average rating for this company by employees who self identified as people with disabilities."
},
{
"name": "disabled_total_number_of_reviews",
"type": "number",
"required": true,
"description": "=The number of reviews for this company by employees who self-identified as people with disabilities."
},
{
"name": "caregiver_average_rating",
"type": "number",
"required": true,
"description": "=The average rating for this company by employees who self identified as caregivers."
},
{
"name": "caregiver_total_number_of_reviews",
"type": "number",
"required": true,
"description": "=The number of reviews for this company by employees who self-identified as caregivers."
},
{
"name": "parent_average_rating",
"type": "number",
"required": true,
"description": "=The average rating for this company by employees who self identified as parents/guardians."
},
{
"name": "parent_total_number_of_reviews",
"type": "number",
"required": true,
"description": "=The number of reviews for this company by employees 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
},
{
"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 - $json.output.average_rating,2) }}"
},
{
"id": "376818f3-d429-4abe-8ece-e8e9c5585826",
"name": "contribution_to_variance.3_star",
"type": "number",
"value": "={{ ($json.output['3_star_distribution_percentage'] / 100) * Math.pow(3 - $json.output.average_rating,2) }}"
},
{
"id": "620d5c37-8b93-4d39-9963-b7ce3a7f431e",
"name": "contribution_to_variance.2_star",
"type": "number",
"value": "={{ ($json.output['2_star_distribution_percentage'] / 100) * Math.pow(2 - $json.output.average_rating,2) }}"
},
{
"id": "76357980-4f9b-4b14-be68-6498ba25af67",
"name": "contribution_to_variance.1_star",
"type": "number",
"value": "={{ ($json.output['1_star_distribution_percentage'] / 100) * Math.pow(1 - $json.output.average_rating,2) }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "8ea03017-d5d6-46ef-a5f1-dae4372f6256",
"name": "Set variance and std_dev",
"type": "n8n-nodes-base.set",
"position": [
2740,
200
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "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
},
{
"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
function normSDist(z) {
const t = 1 / (1 + 0.3275911 * Math.abs(z));
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;
return 0.5 * (1 + Math.sign(z) * d * Math.exp(-z * z / 2));
}
for (const item of $input.all()) {
if (!item.json.population_analysis.p_scores) {
item.json.population_analysis.p_scores = {};
}
for (const score of Object.keys(item.json.population_analysis.z_scores)) {
// Check if review count exists and is greater than zero
if (item.json.population_analysis.review_count[score] > 0) {
// Apply the p_score formula: 2 * NORM.S.DIST(-ABS(z_score))
const p_score = 2 * normSDist(-Math.abs(item.json.population_analysis.z_scores[score]));
// Store the calculated p_score
item.json.population_analysis.p_scores[score] = p_score;
} else {
// Remove z_scores, effect_sizes, and p_scores for groups with no reviews
delete item.json.population_analysis.z_scores[score];
delete item.json.population_analysis.effect_sizes[score];
delete item.json.population_analysis.p_scores[score];
}
}
}
return $input.all();"
},
"typeVersion": 2
},
{
"id": "0bdb9732-67ef-440d-bdd2-42c4f64ff6b6",
"name": "Sort Effect Sizes",
"type": "n8n-nodes-base.set",
"position": [
3540,
440
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "61cf92ba-bc4e-40b8-a234-9b993fd24019",
"name": "population_analysis.effect_sizes",
"type": "object",
"value": "={{ Object.fromEntries(Object.entries($json.population_analysis.effect_sizes).sort(([,a],[,b]) => a-b )) }}"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"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
},
{
"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
for (const item of $input.all()) {
// Ensure the data object exists and initialize datasets
item.json.data = {
datasets: []
};
const z_scores = item.json.population_analysis.z_scores;
const effect_sizes = item.json.population_analysis.effect_sizes;
const review_count = item.json.population_analysis.review_count;
// Ensure z_scores, effect_sizes, and review_count are defined and are objects
if (z_scores && effect_sizes && review_count && typeof z_scores === 'object' && typeof effect_sizes === 'object' && typeof review_count === 'object') {
// Initialize the dataset object
const dataset = {
label: 'Demographics Data',
data: []
};
// Iterate through the demographic keys
for (const key in z_scores) {
// Check if review count for the demographic is greater than 0
if (z_scores.hasOwnProperty(key) && effect_sizes.hasOwnProperty(key) && review_count[key] > 0) {
// Add each demographic point to the dataset
dataset.data.push({
x: z_scores[key], // x = z_score
y: effect_sizes[key], // y = effect_size
label: $('Define dictionary of demographic keys').first().json[key],
});
}
}
// Only add the dataset if it contains data
if (dataset.data.length > 0) {
item.json.data.datasets.push(dataset);
}
delete item.json.population_analysis
}
}
// Return the updated input with the data object containing datasets and labels
return $input.all();
"
},
"typeVersion": 2
},
{
"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": "={
\"title\": {
\"display\": true,
\"position\": \"top\",
\"fontSize\": 12,
\"fontFamily\": \"sans-serif\",
\"fontColor\": \"#666666\",
\"fontStyle\": \"bold\",
\"padding\": 10,
\"lineHeight\": 1.2,
\"text\": \"{{ $('SET company_name').item.json.company_name }} Workplace Population Bias\"
},
\"legend\": {
\"display\": false
},
\"scales\": {
\"xAxes\": [
{
\"scaleLabel\": {
\"display\": true,
\"labelString\": \"Z-Score\",
\"fontColor\": \"#666666\",
\"fontSize\": 12,
\"fontFamily\": \"sans-serif\"
}
}
],
\"yAxes\": [
{
\"scaleLabel\": {
\"display\": true,
\"labelString\": \"Effect Score\",
\"fontColor\": \"#666666\",
\"fontSize\": 12,
\"fontFamily\": \"sans-serif\"
}
}
]
},
\"plugins\": {
\"datalabels\": {
\"display\": true,
\"align\": \"top\",
\"anchor\": \"center\",
\"backgroundColor\": \"#eee\",
\"borderColor\": \"#ddd\",
\"borderRadius\": 6,
\"borderWidth\": 1,
\"padding\": 4,
\"color\": \"#000\",
\"font\": {
\"family\": \"sans-serif\",
\"size\": 10,
\"style\": \"normal\"
}
}
}
}"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "a937132c-43fc-4fa0-ae35-885da89e51d1",
"name": "Quickchart Scatterplot",
"type": "n8n-nodes-base.httpRequest",
"position": [
3740,
760
],
"parameters": {
"url": "https://quickchart.io/chart",
"options": {},
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "c",
"value": "={{ $json.toJsonString() }}"
},
{
"name": "Content-Type",
"value": "application/json"
},
{
"name": "encoding",
"value": "url"
}
]
}
},
"typeVersion": 4.2
},
{
"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
},
{
"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
"
},
"typeVersion": 1
},
{
"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
},
{
"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.
Instead, [ScrapingBee](https://www.scrapingbee.com/) 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
},
{
"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
},
{
"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
},
{
"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
},
{
"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
1. Replace ScrapingBee and OpenAI credentials
2. Replace company_name with company of choice (workflow performs better with larger US-based organizations)
3. Preview QuickChart data visualizations and AI data analysis"
},
"typeVersion": 1
},
{
"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](https://medium.com/@wryanmedford/an-open-letter-to-twilios-leadership-f06f661ecfb4)
Wes 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.
**Hi, Wes!**"
},
"typeVersion": 1
},
{
"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": "%20%7B%0A%20%20%20%20%20%20%20%20%20%20var%20idx%20%3D%20context.dataIndex%3B%0A%20%20%20%20%20%20%20%20%20%20return%20context.chart.data.labels%5Bidx%5D%3B%0A%20%20%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20%7D%0A%20%20%20%20%7D%0A%20%20%7D%0A%7D%0A#full-width)"
},
"typeVersion": 1
},
{
"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
},
{
"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
**Z-Score** – 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.
**Effect Size** – 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.
**P-Score (P-Value)** – 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.
### Relevance to This Analysis
These 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
},
{
"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)
### Key Takeaways
1. **Significant Disparity Among Disabled Employees**
Disabled employees reported the lowest average ratings, with a z-score of -5.50, indicating a far worse experience compared to their non-disabled peers.
2. **LGBTQIA Community's Challenges**
Members 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.
3. **Transgender Experiences Are Particularly Negative**
Transgender employees rated their experiences considerably lower (z-score of -2.91), highlighting a critical area for improvement in workplace culture and acceptance.
4. **Veterans Report Higher Satisfaction**
In contrast, veterans had the highest ratings (z-score of 1.54), which could indicate a supportive environment or programs tailored to their needs.
5. **Overall Gender Discrepancies**
A noticeable gap exists in average ratings by gender, with female employees scoring below male employees, suggesting potential gender biases or challenges in workplace dynamics.
### Employee Experiences
#### Perceptions of Workplace Environment
For 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
},
{
"id": "a39cdbe7-d6ae-4a84-98c7-52ebf98242f3",
"name": "Text Analysis of Bias Data",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
3720,
280
],
"parameters": {
"text": "=This data compares the average rating given by different demographic groups against a baseline (the overall mean rating).
Objective:
1. Analyze the data and offer between 2 and 5 key takeaways with a title and short (one-sentence) summary.
2. 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.
3. Ensure there are between 2-5 key takeaways and employee experiences
Data for analysis:
{{ $json.population_analysis.toJsonString() }}",
"promptType": "define"
},
"typeVersion": 1.4
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "ff1df786-ebaf-4ed0-aeca-1872b93ef275",
"connections": {
"Merge": {
"main": [
[
{
"node": "Calculate Z-Scores and Effect Sizes",
"type": "main",
"index": 0
}
]
]
},
"SET company_name": {
"main": [
[
{
"node": "Define dictionary of demographic keys",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Text Analysis of Bias Data",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Sort Effect Sizes": {
"main": [
[
{
"node": "QuickChart Bar Chart",
"type": "main",
"index": 0
},
{
"node": "Text Analysis of Bias Data",
"type": "main",
"index": 0
}
]
]
},
"Calculate P-Scores": {
"main": [
[
{
"node": "Sort Effect Sizes",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "Extract demographic distributions",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model2": {
"ai_languageModel": [
[
{
"node": "Extract overall ratings and distribution percentages",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Extract company url path": {
"main": [
[
{
"node": "ScrapingBee GET company page contents",
"type": "main",
"index": 0
}
]
]
},
"Set variance and std_dev": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Extract Demographics Module": {
"main": [
[
{
"node": "Extract demographic distributions",
"type": "main",
"index": 0
}
]
]
},
"ScrapingBee Search Glassdoor": {
"main": [
[
{
"node": "Extract company url path",
"type": "main",
"index": 0
}
]
]
},
"Extract reviews page url path": {
"main": [
[
{
"node": "ScrapingBee GET Glassdoor Reviews Content",
"type": "main",
"index": 0
}
]
]
},
"Extract Overall Review Summary": {
"main": [
[
{
"node": "Extract overall ratings and distribution percentages",
"type": "main",
"index": 0
}
]
]
},
"Format dataset for scatterplot": {
"main": [
[
{
"node": "Specify additional parameters for scatterplot",
"type": "main",
"index": 0
}
]
]
},
"Define contributions to variance": {
"main": [
[
{
"node": "Set variance and std_dev",
"type": "main",
"index": 0
}
]
]
},
"Extract demographic distributions": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "SET company_name",
"type": "main",
"index": 0
}
]
]
},
"Calculate Z-Scores and Effect Sizes": {
"main": [
[
{
"node": "Calculate P-Scores",
"type": "main",
"index": 0
},
{
"node": "Format dataset for scatterplot",
"type": "main",
"index": 0
}
]
]
},
"Define dictionary of demographic keys": {
"main": [
[
{
"node": "ScrapingBee Search Glassdoor",
"type": "main",
"index": 0
}
]
]
},
"ScrapingBee GET company page contents": {
"main": [
[
{
"node": "Extract reviews page url path",
"type": "main",
"index": 0
}
]
]
},
"ScrapingBee GET Glassdoor Reviews Content": {
"main": [
[
{
"node": "Extract Demographics Module",
"type": "main",
"index": 0
},
{
"node": "Extract Overall Review Summary",
"type": "main",
"index": 0
}
]
]
},
"Specify additional parameters for scatterplot": {
"main": [
[
{
"node": "Quickchart Scatterplot",
"type": "main",
"index": 0
}
]
]
},
"Extract overall ratings and distribution percentages": {
"main": [
[
{
"node": "Define contributions to variance",
"type": "main",
"index": 0
}
]
]
}
}
}功能特点
- 自动检测新邮件
- AI智能内容分析
- 自定义分类规则
- 批量处理能力
- 详细的处理日志
技术分析
节点类型及作用
- Manualtrigger
- @N8N/N8N Nodes Langchain.Lmchatopenai
- Merge
- Set
- Httprequest
复杂度评估
配置难度：
维护难度：
扩展性：
实施指南
前置条件
- 有效的Gmail账户
- n8n平台访问权限
- Google API凭证
- AI分类服务订阅
配置步骤
- 在n8n中导入工作流JSON文件
- 配置Gmail节点的认证信息
- 设置AI分类器的API密钥
- 自定义分类规则和标签映射
- 测试工作流执行
- 配置定时触发器（可选）
关键参数
| 参数名称 | 默认值 | 说明 |
|---|---|---|
| maxEmails | 50 | 单次处理的最大邮件数量 |
| confidenceThreshold | 0.8 | 分类置信度阈值 |
| autoLabel | true | 是否自动添加标签 |
最佳实践
优化建议
- 定期更新AI分类模型以提高准确性
- 根据邮件量调整处理批次大小
- 设置合理的分类置信度阈值
- 定期清理过期的分类规则
安全注意事项
- 妥善保管API密钥和认证信息
- 限制工作流的访问权限
- 定期审查处理日志
- 启用双因素认证保护Gmail账户
性能优化
- 使用增量处理减少重复工作
- 缓存频繁访问的数据
- 并行处理多个邮件分类任务
- 监控系统资源使用情况
故障排除
常见问题
邮件未被正确分类
检查AI分类器的置信度阈值设置，适当降低阈值或更新训练数据。
Gmail认证失败
确认Google API凭证有效且具有正确的权限范围，重新进行OAuth授权。
调试技巧
- 启用详细日志记录查看每个步骤的执行情况
- 使用测试邮件验证分类逻辑
- 检查网络连接和API服务状态
- 逐步执行工作流定位问题节点
错误处理
工作流包含以下错误处理机制：
- 网络超时自动重试（最多3次）
- API错误记录和告警
- 处理失败邮件的隔离机制
- 异常情况下的回滚操作