The initial setup was straightforward, and getting started was quick.
The assessments often feel generic and do not truly reflect the candidates' abilities or potential.
While it automates the interview process, I found that it lacks the depth needed for technical roles, leading to missed opportunities.
The customization options are fantastic. I can tailor the assessments to match specific job descriptions, which really helps in finding suitable candidates.
Sometimes, the AI's evaluation can be overly strict, leading to potentially good candidates being scored lower than they should be.
It streamlines the recruitment process and allows us to focus on more strategic hiring tasks instead of manual screening.
I appreciate the live coding feature which lets me test candidates in real-time. It gives a more accurate assessment of their coding skills.
The user interface feels a bit outdated, and it can be hard to navigate through the various options during interviews.
It reduces the time spent on candidate screening significantly. However, it still requires human oversight to ensure accurate evaluations.
The ability to conduct interviews in multiple programming languages is a strong point.
The AI sometimes struggles with understanding nuanced answers from candidates, which can lead to misinterpretation of their skills.
It helps automate parts of the interview process, but I find that it still requires significant human involvement for accurate results.
I love that it offers real-time feedback, which is valuable for making quick hiring decisions.
The pricing plans could be more flexible; I wish there were options for smaller teams.
It helps in reducing bias in hiring by providing objective scoring based on performance rather than gut feeling.
Scribe How automatically generates AI-driven how-to guides, including SOPs and training manuals, for enhanced efficiency and understanding.