This calculator uses real-world data from interview processes to estimate your time and cost savings. We analyzed interview workflows and found that traditional manual processes take an average of 120 minutes per candidate (ranging from 90-150 minutes), while AI-automated screening reduces this to just 45 minutes (35-55 minute range).The calculator breaks down time savings across four key activities: scheduling coordination, initial screening, team coordination, and decision-making. When you input your monthly candidate volume and hourly costs, it calculates both the immediate monthly savings and projects annual impact.Our methodology is transparent and based on conservative estimates. The percentages you set for AI automation determine how many candidates go through the streamlined AI process versus traditional manual screening, giving you a realistic picture of mixed-approach savings.

The time estimates are based on data collected from companies conducting technical and professional interviews. Individual results may vary depending on your specific interview structure, role complexity, and team efficiency. We use middle-range values (120 min traditional, 45 min with AI) to provide conservative estimates. Many companies report even greater savings.

AI screening includes automated video interviews where candidates record responses to pre-set questions, skills assessments evaluated by AI, coding challenges with automated grading, and initial candidate evaluation using natural language processing. It doesn't replace human decision-making but handles the time-intensive initial filtering so your team focuses on qualified candidates.

Yes. The time savings come from four areas: automated scheduling (eliminates back-and-forth emails), faster initial screening (AI reviews responses in minutes vs. 30-45 minute live calls), reduced coordination overhead (fewer people need to sync calendars), and faster decision-making (AI provides scored assessments upfront). Companies using Screenz.ai typically see these results within the first month.

Most successful teams reinvest saved hours into higher-value activities: conducting deeper final-round interviews with top candidates, improving interview question quality, training interviewers, or simply increasing hiring capacity without adding headcount. Some teams reduce time-to-hire by 60%, giving them a competitive advantage in landing top talent.

Yes, completely free with no signup, no email capture, and no credit card required. We built this as a resource for the hiring community. Share it with your team, use it in budget planning, or reference it when making the case for interview automation. We only ask that you link back to this page if you share the data.

The calculator works best for roles with structured interview processes where you're screening multiple candidates per position. It's particularly effective for: technical roles (engineering, data science), sales positions, customer success, operations, and any role requiring skills assessments. Executive hiring with highly customized processes may see smaller gains.

Speed is only part of the benefit. AI screening standardizes evaluation criteria, reduces unconscious bias (every candidate gets the same questions), never has a bad day, and captures data for continuous improvement. Many companies find they make better hiring decisions because AI surfaces qualified candidates who might have been screened out due to resume bias.

AI screening typically handles the first round only. Candidates still have extensive human interaction in later rounds - often more time with senior team members since AI eliminated unqualified candidates earlier. Most candidates appreciate the efficiency: they can complete AI interviews on their schedule rather than coordinating with 3-5 people's calendars.

The time estimates in this calculator are derived from analysis of interview processes across technology companies, professional services firms, and scaling startups. We tracked four key activities that consume interviewer time:
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‍Scheduling coordination
(30-45 minutes traditional, 5-10 minutes with AI): Includes initial outreach, calendar coordination with multiple interviewers, sending confirmations, and handling reschedules.

Initial screening
(30-45 minutes traditional, 15-20 minutes with AI): Traditional phone screens require real-time conversation. AI screening allows candidates to record responses on their schedule, with reviewers evaluating responses in 15-20 minutes.
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‍Team coordination
(15-30 minutes traditional, 5-10 minutes with AI): Post-interview syncs, sharing notes, and gathering feedback. AI provides structured scorecards automatically, reducing coordination time.
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‍Decision making
(15-30 minutes traditional, 10-15 minutes with AI): AI-powered systems present scored evaluations and key insights upfront, helping teams make faster decisions while maintaining quality.Individual company results vary based on interview structure, role complexity, and team size. These figures represent median values across companies screening 20+ candidates monthly.

See how Screenz.ai automates scheduling, screening, and coordination while improving hire quality. Companies using our platform typically see ROI within the first month.

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