May 21, 2024

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Metaview’s instrument data interview notes so hiring managers do not must

4 min read

Siyadhal Magos and Shahryar Tajbakhsh had been working at Uber and Palantir, respectively, once they each realized that recruiting — significantly the interview course of — was changing into cumbersome for a lot of company HR departments.

“It was clear to us that the most important part of the hiring process is the interview, but it is also the most opaque and unreliable part,” Magos instructed TechCrunch. ,Additionally, taking notes and writing suggestions takes plenty of effort, which many interviewers and hiring managers do their finest to keep away from.”

Magos and Tajbakhsh thought the recruitment course of is likely to be disrupted, however they needed to keep away from eliminating an excessive amount of of the human factor. in order that they launched metaviewAn AI-powered note-taking app for recruiters and hiring managers that data, analyzes, and summarizes job interviews.

“MetaView is an AI note-taker built specifically for the hiring process,” Magos mentioned. “This helps recruiters and hiring managers focus extra on attending to know candidates and fewer on extracting knowledge from conversations. As a outcome, recruiters and hiring managers save plenty of time taking notes and are extra current throughout interviews as a result of they do not must multitask.”

MetaView integrates with apps, cellphone techniques, videoconferencing platforms, and instruments like Calendly and GoodTime to robotically seize interview content material. Magos says the platform “takes into account the nuances of recruiting conversations” and “enriches itself with data from other sources,” resembling applicant monitoring techniques, to spotlight probably the most related moments.

“Zoom, Microsoft Teams, and Google Meet all have transcription built-in, making it a potential alternative to MetaView,” Magos mentioned. “But the data Metaview’s AI extracts from interviews is much extra related to the recruiting use case than generic alternate options, and we additionally assist customers in and round these conversations with the following steps of their recruiting workflow. “


Image Credit: metaview

Of course, there are many issues fallacious with the standard job interview, and a note-taking and conversation-analyzing app like Metaview may assist, a minimum of in concept. As an excerpt from Psychology Today notes, The human mind is filled with biases Which hinder our judgment and choice making, for instance the tendency to rely an excessive amount of on the primary piece of knowledge offered and to interpret the data in a method that confirms our pre-existing beliefs.

The query is, does MetaView work – and, extra importantly, work equally nicely for all customers?

Even the very best AI-powered speech dictation techniques endure from their very own biases. A Stanford examine confirmed that error charges for Black audio system on speech-to-text companies from Amazon, Apple, Google, IBM and Microsoft are This is sort of double for white audio system, A newer examine printed within the journal Computer Speech and Language discovered statistically vital Differences in the way in which the 2 main speech recognition fashions deal with audio system Of completely different genders, ages and accents.

there additionally Maya to think about. AI makes errors brieflyare included in assembly abstract, In a current story, The Wall Street Journal cited an instance the place an early adopter used Microsoft’s AI Copilot instrument to summarize conferences. Copilot invented attendees and implied calls had been about matters that had been by no means mentioned,

When requested what steps Metaview has taken to mitigate bias and different algorithmic points, Magos claimed that Metaview’s coaching knowledge is numerous sufficient to supply fashions that “surpass human performance” on recruiting workflows. are” and carry out nicely on in style benchmarks for bias.

I’m skeptical and just a little cautious of the way in which Metaview handles speech knowledge. Magos says MetaView shops dialog knowledge for 2 years by default except customers request that the info be deleted. This looks as if an exceptionally very long time, and candidates will most likely do this.

But this doesn’t seem to have had any impression on Metaview’s capacity to get funding or prospects.

Metaview raised $7 million this month from traders together with Plural, Coelius Capital and Vertex Ventures, bringing the London-based startup’s whole funding to $14 million. Magos says Metaview’s buyer base has reached 500 corporations, together with Brex, Quora, Plio, and Improbable — and it is grown 2,000% year-over-year.

“The money will be used primarily to grow the product and engineering team and further boost our sales and marketing efforts,” Magos mentioned. “We will triple the product and engineering team, further improve our conversation synthesis engine so that our AI can automatically extract exactly the information we need for our customers, and proactively address issues such as inconsistencies in the interview process and candidates who appear to be candidates.” Can develop techniques to detect it successfully. “Interest is waning.”


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