BarRaiser offers "Interview as a Service" (IaaS), positioned as a complete interview outsourcing solution that helps engineering leaders delegate technical rounds to expert interviewers, allowing internal engineers to focus on product delivery.
Purpose: Used for outsourcing and evaluating the interview stage in corporate recruiting, especially for technical roles, and also covering roles such as sales and customer support. Through structured interviews, standardized scoring, and unbiased ratings, it improves hiring quality and fairness.
Main capabilities:
- After uploading a JD, AI generates a structured interview plan based on the tech stack and role.
- Structured interviews are conducted by 4,000+ trained expert interviewers, covering more than 20 domains (backend, frontend, product, data science, etc.), with 24/7 scheduling support.
- Candidates can book interview times themselves, without requiring coordination effort from the company's team.
- Every interview is recorded to support evidence-based hiring decisions and quality assurance.
- AI interview highlights: automatically extracts key moments and insights from interviews.
- Fast feedback: candidate reports can be obtained within 2 hours, and the overall evaluation scorecard from candidate upload to completion is usually less than 2 days.
- Detailed scorecards include skill-by-skill ratings, behavioral insights, and clear hire/no-hire recommendations.
- Standardized rating scales and structured frameworks ensure evaluation consistency.
- AI proctoring: detects cheating and safeguards fair and authentic assessments.
- Communication integration: can integrate with BarRaiser to get real-time interview updates.
- Provides 5,000+ pre-built templates and objective evaluation metrics, supporting DEI (diversity, equity, inclusion).
How to use:
- Upload the job description and role requirements.
- AI generates an interview plan matched to the role.
- Expert interviewers conduct structured interviews, and candidates book on their own.
- Obtain detailed scorecards and hiring recommendations, based on which the company makes the final decision. The platform is a web browser service; candidates do not need to install a special app and can start the interview by clicking a link. Companies can schedule interviews within minutes through automated scheduling.
Applicable scenarios:
- Technical role recruiting, such as backend, frontend, product, data science, DevOps, etc.
- Scenarios requiring fast high-volume hiring, where 100+ candidates can be interviewed simultaneously.
- Companies with limited recruiting resources that want to reduce the interview burden on internal teams.
- Startups, small and medium-sized enterprises, and even schools hiring teachers.
- Organizations with requirements for fairness and diversity that want to reduce interview bias.
Results and data (from the platform introduction):
- The platform has conducted 400,000+ interviews.
- Candidates recommended by BarRaiser have a 70% probability of reaching the final round and receiving an offer.
- Overall turnaround time is less than 2 days.
- From application to offer is about 2 weeks.
- 4,000+ expert interviewers.
- Candidate rating 4.5+, based on 100,000 pieces of candidate feedback.
- One customer closed 120 positions within three months.
- Comparison: unstructured interviews require about 24 interviews per hire (4% conversion); BarRaiser structured interviews require about 2 interviews per hire (50% conversion).
Limitations and notes:
- The final hiring decision is still made by the company.
- The materials do not provide information on specific fees, pricing plans, free trials, or other commercial terms.
- The materials do not provide details on the platform's specific integration methods, API documentation, or technical limitations.
- AI can be used to track answers, check facial expressions, and predict fit, but humans retain the final decision.
