17吃瓜网

17吃瓜网 applies multiple layers of protection. For interviews, we use active proctoring, AI-driven classifiers, and behavioural validation to detect dishonest activity. Each candidate receives a Trust Score, which indicates the likelihood of cheating and helps hiring managers make informed decisions.

With over 1M+ assessments completed, candidates consistently find the experience fair, engaging, and easy to use. Our prep tools reduce stress, and the structured design lets candidates highlight their true potential.

17吃瓜网 supports a wide range of languages to make recruitment truly global and inclusive. Our platform works in English, French, Spanish, Korean, Arabic, Filipino, German, Italian, Portuguese, Japanese, Hindi, and more 鈥� including regional variations like English (Australia & New Zealand) and Spanish (Latin America).

Security is built into everything we do. 17吃瓜网 is SOC 2 Type II certified, ISO 27001 compliant, and trusted to meet stringent government standards. All data is fully encrypted, backed by regular independent audits, and we offer flexible cloud storage options, so you stay in control of where your data lives.

Yes! 17吃瓜网 can integrate with any ATS. You will build your assessment in our dashboard and link it to your own internal requisitions. From there, you can continue working with your ATS like you normally would.

We help reduce unconscious bias during the hiring process in three specific ways:听

1. Our magic quadrant research methodology shows that behavioural assessments increase diversity without sacrificing performance prediction in comparison to other assessment types, such as cognitive ability assessments. Although behavioural assessments can be expensive and time-consuming, we鈥檝e automated the process which allows you to use them earlier on in the recruitment process instead of other selection procedures known to negatively impact diversity.听听
2. We reduce recruiter bias by ensuring every candidate gets exactly the same assessment. We found that unstructured interviews allow for human bias to creep its way into the selection process. By using a structured behavioural interview process, we use this automation to ensure that none of your typical bias is present, which gives every candidate a fair chance in the selection process.听
3. We train our machine learning to score candidates through objective data that has not been subject to human biases. In data science, there is a general understanding of what happens when the data used to train models is biased 鈥� garbage in, garbage out.听 Since machine learning models learn from data that we feed to them, any bias that exists in that data will translate through the use of machine learning. This is why we ensure our machine learning is only taught objective data that hasn鈥檛 been subject to human biases, and does not include historical hiring patterns.听

We provide support 24 hours a day, 7 days a week to all candidates. For inquiries submitted between 9am 鈥� 9pm (EST) Monday to Friday, technical issues are resolved within the hour. Outside of those hours, our team will resolve the issue within 3 hours. This includes weekends (Saturday & Sunday).