How To Scale Coaching Quality with AI Call Analytics: TripleTen’s Success Story
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Kehinde Fatosa - 10 min read
Scaling quality in high volume online learning programs is a challenge many education companies face. TripleTen, an online bootcamp helping thousands break into tech, struggled with over 100 learning coaches meeting students weekly – with no clear visibility into performance. Traditional methods like hiring assessors were not sustainable at scale. That’s when they turned to AI powered call analytics through Insight7.
The Challenge: Scaling Coaching Quality Across Hundreds of Coaches
Eli Dietrich, Chief Product Officer at TripleTen, explains: “We had this problem where we had over 100 learning coaches meeting with students every week and we had no idea how they were performing.” Initially, they tried recording calls and hiring a senior assessor to evaluate a small subset. But with thousands of weekly interactions, manual evaluation wasn’t scalable.
“We realized we needed something smarter – something that could scale without sacrificing quality,” Eli adds.
The Solution: AI-Powered Call Analytics with Insight7
Within a week, TripleTen integrated Zoom with Insight7, analyzing over 2,000 learning coach calls per month. Insight7 applied the same rubrics used by the human assessor but at scale, delivering:
Automated dashboards highlighting what went well and where improvement was needed
Actionable coaching tips for learning coaches without requiring manager training
Consistent evaluation across all calls
Eli emphasizes: “Not only did we not have to train our managers on the rubric, but Insight7 also provided coaching tips automatically. It was amazing.”
The Impact: Scale and Consistency for the Cost of One Manager
With Insight7, TripleTen now evaluates over 6,000 calls per month for the cost of a single project manager. The platform ensures coaching quality remains consistent and actionable insights are immediately available.
Looking ahead, TripleTen plans to integrate text messages, emails, and project reviews into Insight7, creating a single hub for evaluating all student facing interactions.
Why This Matters for Education and EdTech Leaders
For any organization with high-volume coaching or customer-facing teams, Insight7 demonstrates how AI call analysis can transform performance management:
Scale evaluations without increasing headcount
Ensure consistency and fairness in coaching
Turn every interaction into an actionable insight
Free managers to focus on strategic improvement rather than manual grading
Conclusion
TripleTen’s journey showcases how AI powered call analytics isn’t just about automation – it’s about scaling quality, consistency, and actionable insights across hundreds of coaches. Platforms like Insight7 make it possible for education organizations to maintain high performance, even at scale.
Analyze & Evaluate Calls. At Scale.
Frequently Asked Questions
Do managers still need to train learning coaches manually?
No. Insight7 automates coaching tips and rubric application, reducing the need for managers to spend time on manual evaluation or training.
Why is AI powered call analytics important for EdTech teams?
It allows organizations to scale coaching quality, maintain consistent evaluations, provide actionable insights, and free managers to focus on strategic improvement rather than manual grading.
How does call analytics help evaluate learning coaches?
Insight7 automatically analyzes Zoom calls, applies standardized rubrics, generates dashboards, and provides coaching tips, ensuring consistent evaluation across hundreds of interactions without manager training.
Analyze & Evaluate Calls. At Scale.
