Sajoki – AI-Powered Personality Tests for Smarter Hiring

Hi Hacker News,

I’m thrilled to share Sajoki, a platform we’ve built to revolutionize hiring and talent management using AI-driven personality and soft skill assessments.

The Problem: Traditional hiring processes rely heavily on resumes and subjective interviews, which can lead to inefficiencies, biases, and costly bad hires. Research shows that 89% of hiring failures are due to a lack of soft skills, yet many companies struggle to evaluate these effectively.

What Sajoki Does: Sajoki provides role-based personality tests tailored to specific job requirements. Using AI, we help companies:

Identify the right fit by assessing personality, soft skills, and team compatibility. Reduce hiring costs by up to 40% through smarter, data-driven decisions. Avoid bad hires and build high-performing, complementary teams. Why It Matters: Hiring mistakes can cost businesses up to 30% of an employee’s annual salary, and teams suffer when there’s a poor fit. Sajoki empowers HR professionals to make precise, bias-free decisions while giving candidates a modern, transparent hiring experience.

We’d love your feedback, and feel free to ask me anything about our journey or product.

Looking forward to hearing your thoughts!

4 comments

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tanviremu 1y ago ↗

I am excited to see Sajoki tackling the biggest hiring challenge—soft skills. When done right, AI-driven assessments can eliminate bias and help teams perform at their best.

asifkhan66 1y ago ↗

This sounds like a game-changer for hiring! The focus on soft skills and personality fit is crucial, especially since technical skills can be taught, but cultural fit is harder to assess. How does Sajoki ensure the AI-driven assessments remain unbiased and fair across different industries and roles? Would love to hear more about the science behind the personality evaluations!

choyondev 1y ago ↗

Sajoki tackles a major hiring challenge by using AI to assess soft skills and team fit. Traditional methods often miss these key factors, leading to costly mistakes. Excited to see how it helps companies build stronger teams!

thaumiel 1y ago ↗

I tried it out. It did not feel like a good tool to use in the current iteration, multiple choice questions, with 4 very distinct and narrow choices. It was way too easy to skew the results. If I would have been given the test/assessment in a real process, I would not have been able to complete the test/assessment, because none of the choices fit my answer for the question. The concept is interesting, but they really need to polish a lot more before it will be useful.