How to Improve Quality of Hire with Video Interviews and AI Summaries
Quality of hire is the metric that separates reactive recruiting teams from strategic hiring teams. It reflects not just who you hire, but how well those hires perform, stay, and thrive in your organization. But here’s the challenge: improving quality of hire can often feel like chasing a moving target.
Between packed schedules, inconsistent evaluations, and resume-padding bots, many hiring teams are making decisions with incomplete or misleading information. The result? New hires who may look great on paper, but don’t stick around or meet expectations.
Enter video interviewing and AI-powered interview summaries, a powerful combination that helps recruiters and hiring teams make smarter, faster, and more data-informed decisions. In this post, we’ll show you how you can implement these tools to work together to improve quality of hire and contribute to not only long-term employee success, but the long-term success of your organization.
What Is Quality of Hire, And Why It’s So Hard to Measure
Many HR leaders define quality of hire using a mix of post-hire success categories:
- Retention
- Manager satisfaction
- Ramp-up time
- Performance reviews
- Cultural or team fit
Quality of hire is one of the most important hiring KPIs, with up to 89% of global hiring professionals agreeing that it’s an increasingly important metric to measure, according to LinkedIn. Why? Because traditional interviews and hiring processes are often inconsistent, overly subjective, and poorly documented, leading to unsuccessful hires.
If you don’t have structured interviews or a reliable way to assess what was said in an interview, it’s difficult to tie hiring decisions to outcomes, and improve on your processes.
How Video Interviewing Supports Higher-Quality Hiring Decisions
Video interviewing platforms offer structure, flexibility, and documentation that traditional interviews lack. Whether live or one-way, video interviews empower recruiters and hiring managers to assess candidates more fairly, efficiently, and collaboratively.
Here’s how video interviews elevate quality of hire:
- Consistent Evaluation Criteria: For screening interviews (and even later round interviews), all candidates answer the same questions in the same format, allowing for better comparison between candidates.
- Reduced Scheduling Bottlenecks: With tools like interview on demand, recruiters can review responses on their own time, speeding up decision-making.
- Improved Collaboration: Hiring teams can share candidate interviews, leave feedback, and collaborate asynchronously.
- Built-in Documentation: Video responses are stored and easily referenced if you need to revisit a candidate’s interview later.
Want to learn more? Check out our Guide to Video Interviewing
Adding AI Summaries: Better Data, Faster Decisions
Now, what if you could take those video-streamlined interviews and distill them into key takeaways, themes, and a confidence score?
That’s the power of AI-generated interview summaries.
By analyzing the recorded interviews, AI tools generate concise interview notes that highlight:
- Key qualifications and skills
- Past performance
- And include confidence scores to give you peace of mind that your AI-generated interview summaries are correct.
These summaries aren’t meant to replace human judgment; they’re designed to enhance it, giving hiring teams a fast and reliable foundation for comparison and discussion.
Pro-Tip: AI summaries help reduce bias by surfacing insights based on what was actually said, rather than how a candidate “seemed.”
Tying It All to ROI and Long-Term Success
It’s not just about hiring faster (though that is a great outcome), it’s about hiring better. Organizations that implement structured hiring processes see measurable improvements in downstream metrics like:
- Time savings of up to 40 minutes per interview.
- Increased hiring accuracy by up to 47%.
- Improved candidate satisfaction with the interview process.
According to interviewstream’s ROI analysis of video interviewing, organizations using these tools report:
- Streamlining up to 70% of the hiring process.
- Cost savings linked to faster candidate screening and reduced turnover.
- Faster hiring & higher quality hires through consistency and better screening.
Putting it all together, that means stronger teams, lower hiring costs, and better outcomes.
Final Thoughts: Start Small, Scale Smart
Improving quality of hire doesn’t require a massive overhaul. Start by introducing video interviewing software for high-volume or screening interviews. Then layer in AI summaries to reduce time spent on feedback and improve alignment across your team.
Track your metrics, and review your hires after 90 days and 6 months. You’ll start seeing a clearer connection between structured, insight-driven interviews and long-term employee success.
Ready to Improve Your Quality of Hire?
Explore how video interviews and AI summaries can help your hiring team make smarter, faster, and more consistent decisions.
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About The Author
Drew Whitehurst is the Director of Marketing, RevOps, and Product Strategy at interviewstream. He's been with the company since 2014 working in client services and marketing. He is an analytical thinker, coffee enthusiast, and hobbyist at heart.
About
For over 20 years, interviewstream has been committed to driving hiring success for a diverse range of clients, including K-12 school districts, healthcare organizations, government agencies, emerging businesses, mid-sized companies, large enterprises, and institutions of higher education.
