Interview Warmup is a virtual coach tailored to jobs like data analysis, e-commerce, IT support, project management, and design.
To be chosen by a Human Resources director, it is not enough to be a good professional, the interviewee's mission is to convince the interviewer that he or she is.
Google has launched a tool that has been baptized Interview Warmup, which can be translated as training or warm-up for interviews. It is based on Artificial Intelligence, in such a way that it acts as a virtual coach for job interviews, which records and analyzes the answers. This tool, which has its own website, is intended for those taking courses through its Grow with Google and Career Certificates education initiatives, but it can be used by anyone.
For now, the American giant, based in Mountain View, has released the English version of this tool. It is adapted for some very specific jobs such as: data analysis, electronic commerce, computer support, project management, UX design and profiles in 'general' indicates the web. The goal is for the questions to be as realistic as possible.
Once you choose the area of work, the tool initially asks you five questions. There are the questions of the "Tell me about yourself" style and others related to the job. For example, "When do you try to drive and solve a problem on your own and when do you involve others on your team?", "Share a time when you set a goal and achieved it", "How would you describe your work style ?". The questions are divided into different categories, such as substantive, situational, and technical questions.
This virtual interview coach can be used as many times as needed as answers are not scored or judged. It stands out because it is very simple to use, just turn on the microphone and answer the questions.
The search engine transcribes the verbal responses in real time and, thanks to the use of Artificial Intelligence, analyzes the responses, recognizes a series of patterns in them such as the "most used words" or "conversation points", and pays attention to the intonation, the sound and other variables that can help to offer a better response to what the user needs to improve their recruitment options through the interview.
With "Most Used Words," Google's interview coach highlights words that have been used three or more times in an answer and will recommend similar words to replace them. The "talking points" feature uses machine learning to identify, based on your answers, your skills, experience and lessons learned.