Spot Workplace Discrimination Patterns with AI
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Proactively identify potential workplace discrimination patterns using AI. This workflow automates data collection and analysis to flag areas needing attention, fostering a more equitable environment.
About This Workflow
Leverage the power of AI to create a more inclusive and equitable workplace. This n8n workflow automates the process of identifying potential discrimination patterns by analyzing data and flagging anomalies. By integrating with tools like Glassdoor via ScrapingBee, it gathers relevant information and then uses OpenAI's powerful language models to discern subtle trends. This enables HR professionals and leadership to take proactive steps, address concerns before they escalate, and ensure a fair and just environment for all employees. The workflow is designed to be flexible, allowing for the definition of various demographic groups and company-specific data points for comprehensive analysis.
Key Features
- Automated Data Gathering: Seamlessly collect data from sources like Glassdoor.
- AI-Powered Analysis: Utilize OpenAI models to identify subtle discrimination patterns.
- Customizable Demographics: Define and track various demographic categories for analysis.
- Proactive Intervention: Gain insights to address potential issues before they become significant problems.
- Streamlined HR Operations: Automate a complex analytical process, freeing up HR resources.
How To Use
- Trigger the Workflow: Initiate the workflow by clicking 'Test workflow' or by setting up an automated trigger.
- Set Company Name: In the 'SET company_name' node, replace 'Twilio' with the actual company name you wish to analyze.
- Define Demographic Keys: Review and customize the 'Define dictionary of demographic keys' node to include all relevant demographic categories you want to track (e.g., race, gender, age, disability status, veteran status, caregiver status).
- Configure ScrapingBee: Update the 'ScrapingBee Search Glassdoor' node with your ScrapingBee API key and ensure the URL parameters correctly target Glassdoor's search results for the specified company.
- Connect OpenAI Models: Configure the 'OpenAI Chat Model' nodes with your OpenAI API credentials. These nodes will process the scraped data and apply AI analysis to identify patterns.
- Merge and Analyze: The 'Merge' node will combine the outputs from the OpenAI models, and subsequent nodes (not shown in snippet) would handle the final analysis and reporting of potential discrimination patterns.
Apps Used
Workflow JSON
{
"id": "473ac821-b5d1-4fd6-9e71-ab4f6377330d",
"name": "Spot Workplace Discrimination Patterns with AI",
"nodes": 28,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 473ac821-b5d1...
About the Author
SaaS_Connector
Integration Guru
Connecting CRM, Notion, and Slack to automate your life.
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