Rekap replaces scattered notes and missed follow-ups with Smart AI Notes that remember, extract, and act. No more replaying calls or re-asking what got missed. One agent captures everything, who said what, what’s next, and where it goes.
Discover why interviews are often a black box and how interviewer quality impacts hiring. Learn how calibration, AI-driven coaching, and transparency can unlock better hiring decisions. We need to address the reality that interviews today are often a black box—a mysterious process where we can't be sure of what’s actually happening. Are interviewers extracting meaningful insights, or are they relying on gut feelings? This uncertainty poses a serious risk to hiring quality. In our latest blog, we explore how to bring transparency, accountability, and real-time feedback to the interview process. By transcribing interviews, providing candidates with artifacts, and using AI coaching to assess interviewers, we can ensure every interview is a meaningful, high-quality experience. It’s time to crack open the black box and elevate the quality of interviewers for better, fairer hiring outcomes.
Let’s be real: interviews today are a black box. We assume a lot about them, but we know surprisingly little about what really happens when that virtual or physical door closes. We put our trust in hiring managers, leaders, and panelists to make critical decisions—decisions that shape the future of our teams and our company—but do we have any real insight into how those decisions are being made?
Here’s the uncomfortable truth: we don’t. And that’s not good enough.
Interviews are often treated as private, subjective experiences. But what if we looked at interviews for what they actually are—a high-stakes mission to gather evidence that will shape whether someone belongs in our company? What if, instead of relying on gut feelings, we started demanding transparency, accountability, and continuous improvement from everyone involved in the interview process?
It’s time to get real about how we’re interviewing—and who’s doing the interviewing. Because even the best leaders need feedback, and even the best interviews can be improved.
Right now, every interview we conduct is like Schrödinger’s Box. Until we “open” it—by seeing how the candidate performs on the job—we just don’t know if it was effective. Was it insightful? Was it a waste of time? Was the interviewer fair? Did they ask the right questions? We’re dealing with too many unknowns.
The problem is that by the time we finally get the answers, it’s too late. We either missed out on a brilliant candidate or, worse, we hired someone who’s not a fit, all because our interviews were not designed to extract meaningful, actionable evidence.
And let’s be clear: this isn’t just a problem of bad interviewers. This is about the system we’ve built, where we trust interviews without holding them to objective standards. No one questions it when a hiring manager says they had a “good feeling” about someone, but let’s be honest—gut feelings aren’t a strategy. If your hiring process depends on vibes, you’re taking risks you can’t afford.
Here’s another truth: training alone doesn’t make someone a great interviewer. It’s easy to sit through an hour-long training session and then go back to interviewing the exact same way as before. Real growth doesn’t happen in a training room—it happens in the interview room, with real-time feedback and opportunities to improve.
Think of interview training like learning to drive a car. You can read the manual, watch someone else drive, and take a couple of lessons. But if you never have an instructor sitting beside you, giving you pointers on the road, are you really going to get any better?
If we want to stop operating in the dark, we need to bring visibility to the interview process. Here’s how we do that:
We need to ask ourselves a tough question: do we really know what’s happening in our interviews? Most of us assume we do, but the reality is, unless we’re gathering data, analyzing performance, and making our interviewers accountable, we’re in the dark.
We trust that our panelists are doing the best they can—and I believe they are—but trust isn’t a strategy. If we want to hire exceptional talent, we need more than good intentions. We need real feedback, real accountability, and a system designed to improve with every single interview.
Let’s stop aiming for “good enough” interviews. Let’s set our sights higher. Interviews aren’t just about vetting candidates—they’re a reflection of us as an organization. They show how much we value people, how much we invest in making fair, informed decisions, and how willing we are to look at our own processes and improve.
The truth is, every interviewer can improve. And if we’re serious about building the best teams, we need to treat interviews as the dynamic, evolving skill they are. We need to crack open the black box, bring transparency to the process, and commit to growth—not just for candidates, but for interviewers too.
It’s time for action. We need to bring radical transparency to interviews. To use AI to coach interviewers, to hold ourselves accountable, and to turn every interview into a learning opportunity for everyone involved.
Because gut feelings and vibes are not a hiring strategy. It’s time we did better—by our candidates, by our companies, and by ourselves. Let’s treat interviews as what they truly are: evidence-gathering missions, where we’re committed to fairness, growth, and making the right choices for our future.
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Rekap replaces scattered notes and missed follow-ups with Smart AI Notes that remember, extract, and act. No more replaying calls or re-asking what got missed. One agent captures everything, who said what, what’s next, and where it goes.
Rekap builds your AI Agent in 43 minutes to handle follow-ups, chase tasks, and shut down wasteful meetings. No code. Just upload, tag, and link. It listens, remembers, and drives work forward while you focus on real thinking.