- When a recruiter asks a question about a candidate in their pipeline, Metaview’s chat interface powered by a large language model (LLM) will immediately respond with a summary of the most important details, exact data points, and underlying insights based on what was mentioned during the interview.
- The function expands on Metaview’s AI-powered interview summary, which frees recruiters from having to take extensive notes so they can concentrate on engaging with applicants in a meaningful way.
- In order to save time, make better judgments, and enhance the applicant experience, Metaview Answers offers a new AI-enabled paradigm for how recruiters may extract information from unstructured, information-dense interviews.
The first AI-powered conversational interface for interviews has been made available by Metaview, the AI recruiting technology firm backed by VVUS, Fly Ventures, Seedcamp, and Village Global. The feature makes use of the most recent developments in large language models (LLMs), such as GPT-4 from OpenAI.
The function aids recruiters by providing them with quick access to the most crucial data about potential applicants in their pipeline: the details they divulged during the interview process. Simply by typing in a query about a candidate, recruiters can get an answer from Metaview’s AI based on the conversation that took place during the interview. For instance, a recruiter might inquire about the candidate’s stated expectations regarding remuneration or request a recap of the main issues that were covered. Additionally, underlying insights produced by Metaview’s AI include a candidate’s stated reasons for looking for a new job.
According to co-founder Siadhal Magos, “Metaview Answers is the most recent example of how we’re leveraging advancements at the cutting edge of AI to help increase recruiters’ efficiency and equip them with insights and data to be more effective at the human elements of recruiting.” “With Answers, it’s like recruiters have their own assistant ready to recall any information they need to support hiring teams in developing relationships with candidates and making informed decisions,” says one recruiter.
As a result of conducting higher-quality interviews, customers who use Metaview experience increases in productivity and efficiency. On average, each recruiter saves 5 to 10 hours per week, and the time to hire is 20% shorter.
Companies including Genentech, Quora, Robinhood, and Brex use Metaview to enhance the caliber and effectiveness of their interviewing procedures. Metaview was founded by Siadhal Magos and Shahriar Tajbakhsh in 2018.
Source: HRTech Series