This project focus on building a Selection Process Control Dashboard to HR, providing an intuitive and easier way of candidate evaluation based on enhanced data visualization. All data was AI generated.

The first page offers a comprehensive overview of candidate data and performance metrics, ideal for tech companies looking to streamline their hiring process.

With key statistics such as total candidates and the percentage of those with experience, it provides a quick snapshot of your talent pool.

The dashboard also features a detailed submissions graph, helping you track application trends over time. Additionally, a sortable table allows for easy access to individual candidate details. From here, you can select any candidate for a deeper analysis on a dedicated page, making it easier to identify top talent efficiently.

This tool is perfect for decision-makers who need to monitor hiring performance, analyze candidates thoroughly, and make informed choices with confidence.

After selecting a candidate in the Home Tab, you can quickly transition to an in-depth analysis page.

Here, the idea is to summarize all the Selection Process questions in one tab, so the interviewer/hirer is able to evaluate the candidate's answers and verify specific requirements quickly.