Introducing AI Confidence Scores for Deeper Interview Insight: June 2025 Product Round-Up

Every update we make at interviewstream is designed with one thing in mind: making hiring faster and more efficient. We recently introduced our AI Interview Summary tool—designed to save your team time by automatically summarizing candidate video responses into clear, actionable bullet-pointed interview notes. Since its launch, it’s helped teams cut review times, collaborate more effectively, and focus on the candidate insights that matter most.

We’re excited to take AI Interview Summary a step further. In our June 2025 Product Release, we’re launching AI Confidence Scores to go along with interview summaries. This feature gives you deeper insight into the accuracy of each interview summary, based on the candidate’s complete response.

This update adds a layer of transparency and trust to our AI tools, helping your team understand not just what AI found important in a candidate’s response, but how confident it is in those key points.

Let’s take a closer look:

What Is an AI Confidence Score?

AI Confidence Scores are a simple, visual way to check the accuracy of your AI-generated interview summaries.

Behind the scenes, AI analyzes the full candidate video response. It looks at the language and context of the response to determine how certain it is that a summarized point accurately reflects what the candidate said.

Behind the scenes, confidence scores are evaluated using the following metrics:

• Textual Overlap: Does the language used by the candidate match up with the language in the summary?
• Key Concept Matching: On a broader level, do the concepts mentioned by the candidate match up with the concepts in the summary?
• Factual Consistency: Does the summary reflect what the candidate said around concrete claims or experience? Has anything been added or changed by AI?
• Gap Analysis: Did the AI summary leave anything out that the candidate might have mentioned in the interview?

These scores are designed to give you even more clarity without adding extra work.

Why This Matters to Hiring Teams

When you’re reviewing multiple candidates, every bit of efficiency (and accuracy) counts. But just as important is having confidence in the tools you use to make decisions.

Here’s how confidence scores help when used in partnership with AI Interview Summary:

• Faster Reviews: Quickly gauge the accuracy of each interview summary at a glance.
• Better Collaboration: Team members are all on the same page with a shared view of the full interview, comprehensive notes, and their accuracy.
• Smarter Decisions: Confidence scores help you balance speed with accuracy and make informed calls faster.
• More Transparency: You see exactly what the AI sees and how sure it is about each of the auto-generated notes.

And because we know that not every team or interview requires the same level of detail, AI Summaries and Confidence Scores can be toggled on or off at multiple levels, including by user role, requisition, or even specific interview questions. You’re in control of when and how AI insights are generated and shared.

Want to see how AI summaries and confidence scores work in real hiring workflows? See a quick demo.

Share Links: Bring AI-Powered Insights to Every Stakeholder

Along with the addition of confidence scores to interviewstream, AI Summaries and Confidence Scores can now be included in interview share links. This means when you send a candidate interview to a hiring manager, department lead, or external stakeholder for review, they’ll have access to the same clear, bullet-pointed summaries and visual confidence scores that you do.

How It Works:

When you generate a share link for a recorded interview, recipients will be able to view the video alongside AI-generated summaries and confidence indicators for each key point. It’s a seamless way to provide context and clarity without needing to copy/paste notes or schedule a sync-up.

• Speed Up Stakeholder Reviews: Make it easy for others to quickly grasp candidate highlights and AI confidence levels.
• Avoid Miscommunication: Everyone reviewing the interview sees the same insights in the same format.
• Support Collaborative Decisions: Give every voice in the hiring process the context they need to provide input quickly and effectively.

Of course, just because you can share AI insights widely doesn’t mean you have to. Granular permissions let you decide exactly who can view AI summaries and confidence scores—whether it’s based on user roles, job requisitions, or even individual questions within an interview.

Whether you’re looping in a manager, principal, department head, or cross-functional teammate, share links with integrated AI summaries and confidence scores makes collaboration easier—and faster—than ever.

Where AI Summaries + Confidence Scores Make a Big Impact

Adding human-centric AI into your interview process gives you access to strategic tools designed to help your team work more efficiently across a variety of hiring workflows. Here are a few places where they shine:

Multi-Stage Hiring Processes

In multi-step hiring processes, keeping everyone aligned should be top of mind. AI-generated summaries—now enhanced with confidence scores—make it easy to pass key takeaways from early interviews up the chain. Hiring managers in later rounds get a fast, accurate snapshot of what’s already been covered and where to dig deeper.

Distributed or Large Hiring Teams

When you’re working with a big team, standardizing evaluations and keeping feedback organized can be a challenge. Summaries provide a consistent foundation across reviewers, while confidence scores help everyone understand how solid the insight is, making your team’s decisions more unified, even when spread out across locations.

Pro-Tip: interviewstream’s AI summaries and confidence scores are easily shareable and exportable. Allowing you to quickly and easily share interview notes with other team members.

Fast-Paced Collaboration

Sometimes hiring decisions need to be made quickly, and that means getting insights into the hands of key stakeholders ASAP. With AI summaries and visual confidence indicators, recruiters and hiring managers can share, review, and act on interview results without delay. No bottlenecks. No guesswork.

Whether you have a small hiring team, a large team hiring at scale, you’re streamlining your process, or just trying to save time, interviewstream’s AI tools are designed to support every step of your workflow.

Ready to See It in Action?

Curious how AI Interview Summary and Confidence Score fit into your hiring process? Our latest update is built to save your team time and improve decision-making at every stage.

Check out a quick demo to see how these new tools fit into your process today.

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.