WeCP (We Create Problems) is a renowned platform that enables employers to assess candidates efficiently through video questions. Candidates are asked to record a 2-minute video response to a given question, which is then evaluated using AI technologies. In this help article, we will explore the AI evaluation process in WeCP for video questions.
How the AI evaluation works:
The AI evaluation process in WeCP is designed to provide accurate, unbiased, and quick assessments of candidates' responses to video questions. Here's how it works:
1. Video transcription:
First, the AI system transcribes the candidates' video responses into text. This transcription is vital for the subsequent evaluation steps, as it enables the AI to analyze and understand the content of the responses.
2. Content analysis:
Next, the AI analyzes the transcribed text, focusing on the candidate's explanation of their approach to solving a business problem using technology. The AI evaluates the response based on several factors, including:
Relevance: The AI checks whether the candidate has addressed the given question and provided a relevant solution.
Technical knowledge: The AI assesses the candidate's technical understanding and ability to apply appropriate technologies to solve the problem.
Problem-solving skills: The AI evaluates the candidate's ability to analyze the problem, identify its root cause, and propose a suitable solution.
Creativity and innovation: The AI considers the uniqueness and innovativeness of the proposed solution, taking into account the candidate's ability to think outside the box.
3. Communication skills assessment:
The AI also evaluates the candidate's communication skills, which are crucial for effectively conveying ideas and collaborating with colleagues. The system considers factors such as:
Clarity: The AI assesses whether the candidate has presented their thoughts in a clear, concise, and logical manner.
Vocabulary: The AI evaluates the candidate's choice of words and their ability to articulate complex concepts in an understandable way.
Non-verbal communication: The AI system analyzes facial expressions, gestures, and body language to gauge the candidate's level of engagement, confidence, and enthusiasm.
4. Sentiment analysis:
The AI system conducts a sentiment analysis on the candidate's response to determine their attitude, passion, and emotional engagement with the subject matter.
5. Scoring and feedback:
Based on the analysis, the AI assigns a score to the candidate's response, taking into account all of the aforementioned factors. The system then generates personalized feedback, highlighting the candidate's strengths and areas for improvement.
Conclusion:
WeCP's AI evaluation process for video questions offers an efficient and unbiased way to assess candidates' responses. By analyzing various aspects of a candidate's response, the AI system provides valuable insights into their technical knowledge, problem-solving skills, and communication abilities, enabling employers to make informed hiring decisions.