How To Scale Interview Quality with AI Call Evaluation: Fresh Prints’ Success Story
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Kehinde Fatosa - 10 min read
Running hundreds of interviews every month is a challenge for any fast-growing company — especially when hiring at scale.
For Fresh Prints, a custom apparel startup that recruits and trains student entrepreneurs to run campus-based businesses, the challenge was massive.
Their growth team reviews over 700 recorded Loom interviews every month, evaluating each candidate’s engagement, clarity, and cultural fit. Keeping these evaluations consistent — and spotting red flags across such a high volume of calls — was nearly impossible.
That’s when they turned to Insight7’s AI-powered call evaluation to streamline and scale their QA process.
The Challenge: Scaling Interview Evaluation Across Hundreds of Calls
Fresh Prints’ talent model depends on selecting the right student entrepreneurs, people who can sell, lead, and represent the brand on their campuses.
Before Insight7, the growth team had to manually review hundreds of interview recordings, taking notes and scoring candidates by hand. With over 700 interviews each month, the workload quickly became unsustainable.
“Running hundreds of interviews every month used to be a huge challenge for us,” Santiago Villaronga shared. “Keeping evaluations consistent and spotting red flags across many interviews was nearly impossible.”
The process slowed down hiring decisions, made feedback inconsistent across evaluators, and introduced risk, good candidates could slip through the cracks simply because there wasn’t enough time to review every call thoroughly.
The Solution: AI-Powered Interview Evaluation with Insight7
To solve the problem, Fresh Prints adopted Insight7, integrating it directly with Loom, their existing call recording tool.
“Since adopting Insight7, our QA process has completely changed. It integrates seamlessly with Loom, automatically pulling in recordings and applying our customer evaluation criteria.”
Instead of relying on manual reviews, Insight7 now automatically analyzes every interview using Fresh Prints’ evaluation rubrics. It assesses factors like candidate engagement, clarity, and cultural fit, surfacing patterns and potential concerns without requiring the team to listen to full calls.
“We can now analyze interview quality at scale without listening to every minute of our call. Insight7 surfaces trends, flags red flags, and delivers actionable coaching insights in a fraction of the time.”
The Impact: Quality, Fairness, and Scale
The results have been transformative.
Fresh Prints’ growth team now evaluates hundreds of interviews with speed, accuracy, and consistency, all while maintaining fairness across candidates.
With Insight7:
QA reviews are automated, ensuring every interview is evaluated with the same criteria.
Red flags are identified instantly, enabling faster hiring decisions.
Actionable insights are delivered automatically, helping improve interviewer performance.
The team saves hundreds of hours every week, freeing them to focus on scaling recruitment instead of manual analysis.
“It’s fast, accurate, and saves our team hundreds of hours every week, giving us confidence to keep scaling hiring without sacrificing quality or fairness.”
Why This Matters for Talent and Growth Teams
For any organization running high-volume interviews, AI-powered call evaluation offers a way to scale quality and fairness simultaneously.
With tools like Insight7, hiring and QA teams can:
Analyze hundreds of calls instantly without manual effort
Maintain consistent evaluation standards across all interviewers
Identify trends and red flags early in the process
Free up time for strategy, training, and candidate engagement
Conclusion
Fresh Prints’ journey shows how AI call evaluation doesn’t just make interview analysis faster, it makes it smarter.
By integrating Insight7 into their QA process, they’ve transformed hiring from a manual, time intensive bottleneck into a data-driven, scalable, and fair system.
The result? A growth team that’s confident, consistent, and ready to scale, without ever compromising on quality.
Analyze & Evaluate Calls. At Scale.
Frequently Asked Questions
How does AI call analytics help recruitment teams?
It automates call reviews, applying consistent evaluation rubrics across interviews while highlighting red flags and improvement areas.
Does Insight7 work with Loom?
Yes. Insight7 integrates seamlessly with Loom to pull recordings automatically for analytics and insight generation.
Why is automation important in hiring QA?
It ensures fairness, speeds up evaluation, and enables recruiters to make data-driven hiring decisions without wasting hours on manual review.
Analyze & Evaluate Calls. At Scale.
