The first two questions were designed to define the first high-level objectives. While developing our e-recruitment platform GoToMyJob, our answer was that we wanted to give recruiters access to a predictive recruitment process.
The third question taps into the heart of the objective: what do you want to achieve and do you really need an ML model to achieve it? This is one of the most important questions, as it shows you how the predictions will be used. For example, we use our predictive ML model to optimize our campaigns and to make sure we recruit enough candidates. Having the right number of candidates benefits your efficiency and your time-to-hire.
The last two questions are the most confrontational, as they expose the company’s weaknesses. In some cases, a company uses a complex system developed by a former employee who no longer works there, meaning no one knows how the system works. In most cases, however, the company simply lacks the knowledge to link the data flows and present them in a clear and uniform way.