1. Setting Up User Authentication
First things first - let's get your users connected securely. Think of Bindbee's magic link as a special VIP pass that gives secure access to sensitive compensation data. When your customers click the link, they'll go through a smooth authentication process that feels as simple as signing into their favorite app, but with bank-grade security running behind the scenes.

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2. Building the Compensation Framework
Here's where it gets exciting! We'll tap into three powerful endpoints to create a comprehensive view of your compensation landscape:1. GET /compensation
This is your goldmine for compensation data! You'll fetch:

1. Current pay rates (the backbone of equity analysis)
2. Pay frequencies (hourly, salary, etc.)
3. Pay currencies (crucial for global companies)
4. FLSA status (helps categorize employees correctly)
5. 2. GET /employees‍

Think of this as your demographic command center. You'll collect:

Gender and ethnicity information

1. Department affiliations
2. Employment status
3. Location data
4. Any custom demographic fields your customers track

GET /employments
This adds crucial context to your compensation data:

• Job titles (for like-for-like comparisons)
• Department information
• Employment type
• Effective dates (perfect for tracking changes)

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3. Creating Your Analysis Engine‍

Now for the fun part! We'll combine these data streams to create meaningful insights:First Layer - Basic Demographics:

Pull compensation data using GET /compensation

Map it to employee demographic data

Calculate baseline comparisons across different groups

Second Layer - Context Analysis:‍

• Factor in job titles and levels
• Account for location differences
• Consider tenure and experience
• Analyze department-specific patterns

Third Layer - Deep Dive:

• Identify like-for-like comparisons
• Calculate adjusted pay gaps
• Track progression patterns
• Flag significant disparities

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4. Surfacing Insights‍

Time to make your analysis actionable! Transform your findings into clear, actionable insights that help your customers:

1. Spot pay gaps early
2. Understand root causes
3. Track progress over time
4. Make data-driven decisions