Convert Performance Review to JSON

Performance reviews are where we capture how employees are doing, their goals, and feedback. We can grab structured data from these forms, whether they're PDFs or other types of documents.

We pull out key stuff like:

• Who the employee and reviewer are
• When the review covers and happened
• Overall performance score
• Detailed looks at different areas
• What goals were hit and where to improve
• Future goals
• Comments from the employee and manager

This really helps with:

• Keeping tabs on performance
• Planning employee growth
• Making calls on pay and promotions
• Understanding talent and planning the workforce

Getting data out of these reviews makes the whole process smoother. You can spot trends in how people are doing and easily plug all this info into HR systems and analytics tools. It's a game changer for managing performance.

JSON (JavaScript Object Notation) is a lightweight data format that uses human-readable text to store and transmit data objects. It's widely used for data exchange between web applications and servers, API responses, configuration files, and data storage.

Technical Details

JSON represents data with key-value pairs in a nested structure. It supports strings, numbers, booleans, arrays, objects, and null values, making it flexible for various data types. JSON is language-independent but derived from JavaScript syntax, making it particularly popular in web development. JSON files use the .json extension and have a MIME type of application/json.

Advantages

• Supports complex, nested data structures
• Native support in JavaScript and most modern programming languages
• Self-describing and human-readable
• Compact compared to XML and other structured formats
• Language-independent and widely adopted as a standard
• Perfect for API responses and data transfer
• No special parsing tools needed - standard in most programming languages

Limitations

• Not ideal for tabular data analysis
• No support for comments or metadata
• Can be verbose for large datasets
• No schema validation built into the format itself
• Nested structures can be difficult to analyze in spreadsheet tools
• Converting to tabular formats requires flattening of nested objects