Metaview’s tool records interview notes so that hiring managers don’t have to

Metaview’s tool records interview notes so that hiring managers don’t have to post thumbnail image

Siadhal Magos and Shahriar Tajbakhsh have been working at Uber and Palantir, respectively, after they each got here to the belief that hiring — notably the method of interviewing — was changing into unwieldy for a lot of company HR departments.

“It was clear to us that an important a part of the hiring course of is the interviews, but additionally probably the most opaque and unreliable half,” Magos instructed TechCrunch. “On prime of this, there’s a bunch of toil related to taking notes and writing up suggestions that many interviewers and hiring managers do every little thing they will to keep away from.”

Magos and Tajbakhsh thought that the hiring course of was ripe for disruption, however they wished to keep away from abstracting away an excessive amount of of the human aspect. In order that they launched Metaview, an AI-powered note-taking app for recruiters and hiring managers that information, analyzes and summarizes job interviews.

“Metaview is an AI note-taker constructed particularly for the hiring course of,” Magos mentioned. “It helps recruiters and hiring managers focus extra on attending to know candidates and fewer on extracting information from the conversations. As a consequence, recruiters and hiring managers save a ton of time writing up notes and are extra current throughout interviews as a result of they’re not having to multitask.”

Metaview integrates with apps, cellphone programs, videoconferencing platforms and instruments like Calendly and GoodTime to routinely seize the content material of interviews. Magos says the platform “accounts for the nuances of recruiting conversations” and “enriches itself with information from different sources,” akin to applicant monitoring programs, to focus on probably the most related moments.

“Zoom, Microsoft Groups and Google Meet all have transcription inbuilt, which is a attainable different to Metaview,” Magos mentioned. “However the info that Metaview’s AI pulls out from interviews is way extra related to the recruiting use case than generic options, and we additionally help customers with the following steps of their recruiting workflows in and round these conversations.”


Picture Credit: Metaview

Actually, there’s loads unsuitable with conventional job interviewing, and a note-taking and conversation-analyzing app like Metaview may assist, not less than in idea. As a bit in Psychology In the present day notes, the human brain is rife with biases that hinder our judgement and determination making, for instance an inclination to rely too closely on the primary piece of data provided and to interpret info in a method that confirms our preexisting beliefs.

The query is, does Metaview work — and, extra importantly, work equally nicely for all customers?

Even the perfect AI-powered speech dictation programs undergo from their very own biases. A Stanford research confirmed that error charges for Black audio system on speech-to-text companies from Amazon, Apple, Google, IBM and Microsoft are nearly double those for white speakers. One other, more moderen research revealed within the journal Laptop Speech and Language discovered statistically vital differences in the way two leading speech recognition models treated speakers of various genders, ages and accents.

There’s additionally hallucination to think about. AI makes mistakes summarizing, together with in meeting summaries. In a current story, The Wall Avenue Journal cited an occasion the place, for one early adopter utilizing Microsoft’s AI Copilot software for summarizing conferences, Copilot invented attendees and implied calls were about subjects that were never discussed.

When requested what steps Metaview has taken, if any, to mitigate bias and different algorithmic points, Magos claimed that Metaview’s coaching information is numerous sufficient to yield fashions that “surpass human efficiency” on recruitment workflows and carry out nicely on standard benchmarks for bias.

I’m skeptical and a bit cautious, too, of Metaview’s strategy to the way it handles speech information. Magos says that Metaview shops dialog information for 2 years by default until customers request that the info be deleted. That looks as if an exceptionally very long time, and candidates would in all probability.

However none of this seems to have affected Metaview’s potential to get funding or clients.

Metaview this month raised $7 million from buyers together with Plural, Coelius Capital and Vertex Ventures, bringing the London-based startup’s whole raised to $14 million. Metaview’s consumer rely stands at 500 firms, Magos says, together with Brex, Quora, Pleo and Unbelievable — and it’s grown 2,000% year-over-year.

“The cash shall be used to develop the product and engineering workforce primarily, and provides extra gas to our gross sales and advertising efforts,” Magos mentioned. “We are going to triple the product and engineering workforce, additional fine-tune our dialog synthesis engine so our AI is routinely extracting precisely the best info our clients want and develop programs to proactively detect points like inconsistencies within the interview course of and candidates that seem like shedding curiosity.”

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