Unboxable

Predict your hiring and career decisions with 93% accuracy

33 followers

Predict your hiring and career decisions with 93% accuracy

33 followers

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Prediction matching platform for Talent & Employers, cutting through resume culture and replacing poor predictors of success with precise, personalized data. Build a code-free Job Simulator to accurately predict a great hire based on skills and compatibility.

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Launch tags:Hiring•Analytics•SaaS

Launch Team

Framer AI AgentsDesign and publish professional sites with AI

Promoted

Im a bit confused. I have a few questions and would love to hear your thoughts. - How do you measure fit? How do you make sure whatever input that goes in is accurate? I find fit a very complicated and constantly changing concept: change in managers, change in goals, not understanding one's own motivations clearly enough, etc. - How do you make sure the Job Simulator is accurate? I understand these are confidential topics to your startup, but would be great to hear whatever you can share. If you can actually solve these topics, I'd love to be a user. Tbh I'm still confused after reading your comments above.

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5yr ago

Unboxable

Maker

@dung_bui95 Thanks for your questions, and yes, it is definitely a very complex problem to solve, so we have been working very thoroughly with scientist, neuropsychologist, devs, and experts in the field. To your 1st question: - you mention the KEY to this: "constant change"...our job simulators are contextual and take under consideration the hiring manager, their shape of talent, the current expectation and a series of other layers that accurately represent the context TODAY. We see both companies and talents as breathing organisms, that are constantly morphing, and thats what we surface. - regarding "not understanding one's motivations" its clear that this is one of the biggest topics. Avoiding self reporting and giving talent the immediate value of a report of him/herself around that is also a winning point for us. - accuracy can be measured in many ways, but the most important one is REAL LIFE: do people stay, enjoy, perform highly and are considered a great cultural fit after a year...that's BIG YES for us

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5yr ago

KaraboAI

I am assuming you are using ai in the background to make predictions. AI has been shown to have bias, especially in hiring decisions - because it is working off known data-points, which generally have bias. How do you overcome that? How do organisations continue to be progressive in hiring (giving new, under-represented groups a chance), without the risk of making bad-hires?

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5yr ago

@berthakgokong Thanks for your question. Besides removing the gender and hints of bias through names (because people can apply anonymously), we focus on two layers of predictions: a. Professional fit, by decoding the contextual need of the company and understanding the shape of the position needed. B. We use a reliable relational fit, that checks the compatibility between the hiring manager and the talent. This way, from day zero, we are allowing both sides to see an accurate picture based on deep data, where people that otherwise would have been rejected for the wrong reasons are being seen. It not only helps companies avoid bias, but also allows them to tap into hidden pools of talent.

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5yr ago

KaraboAI

@danielunboxable Thanks for the response, that makes sense. Congratulations on the launch and I am sure this product will do well, I know a couple of people who need this already, I will share with them.

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5yr ago

Are you hiring? I haven't applied for a job in 3 years, but damn, this is a product I would love to help develop and grow! Do you have a job simulator for your own team? :D

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5yr ago

Unboxable

Maker

@laura_oliveira2 write me stephie@unboxable.com

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5yr ago

So much experience, data and passion has been put into this product. Heard great feedback already. I can't wait to try it.

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5yr ago

Unboxable

Maker

@nili_goldberg Thanks! true about passion and data! We have accumulated deep and interesting data around shape of talents and shape of positions of the current state of the art of the market. We will start sharing soon through reports and our new knowledge base :)

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5yr ago

In my opinion nothing beats the human touch when it comes to assessing talent, but this personalized simulation functionality definitely looks like it has a whole lot of potential.

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5yr ago

Unboxable

Maker

@osbennn Hi Ben, we totally agree with you, that's why we are the only ones in the market with a prediction on Human Compatibility, basically "will you thrive under this specific manager?" which is a question that normally both sides -talent & company, only know once the hire is already working. We are replacing that guess work with accuracy from Day 0 and by that, changing the game when it comes to hire and get hired with 100% confidence.

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5yr ago

I sense there is a huge gap between what HR think candidate wants and what candidate wants. We want to be treated as people. sadly such automation in most cases makes recruiters forget they work with people not machines.

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5yr ago

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Maker

@konrad_bujak We agree with you: automation with no human component is the wrong use (or abuse) of technology. Our product is there to surface the HUMAN components that otherwise cant be seen in the process, and of course neither on a static CV.

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5yr ago

I’ve been a client for almost a year and they find me candidates all the time, including several hires in my team right now. If you get the chance to work with them, take it!

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5yr ago

Unboxable

Maker

@daniel_skolnick BIG FAN OF YOURS, Daniel! <3

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5yr ago

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