Sales Effectiveness

What percentage of reps hit quota, and what the best teams do differently

What percentage of reps hit quota, and what the best teams do differently

What percentage of reps hit quota, and what the best teams do differently

Maxim Dsouza

Sections

Contents

The question

Simulation training in medicine

Deliberate practice and its critics

What carries over to sales

Where the evidence is thin or absent

Conditions for practice to work

Eubrics’ own data

FAQ and conclusion

Improve Closure Rates with Realistic AI Roleplay Practice

Improve Closure Rates with Realistic AI Roleplay Practice

Top-performing sales teams don’t rely on theory. They simulate real buying conversations. AI roleplay training enables your team to practice high-pressure sales situations and close more deals.

Top-performing sales teams don’t rely on theory. They simulate real buying conversations. AI roleplay training enables your team to practice high-pressure sales situations and close more deals.

Learn more about

Still Training Sales Teams with Manual Methods?

Still Training Sales Teams with Manual Methods?

Train sales reps on real customer personas and objections using AI roleplays that deliver instant feedback and measurable performance improvement.

Train sales reps on real customer personas and objections using AI roleplays that deliver instant feedback and measurable performance improvement.

Try our AI Roleplay Bots for Free

Reduce Ramp-Up time by

47%

and double your sales productivity

Co-founder & CTO

Co-founder & CTO

Maxim Dsouza is the Chief Technology Officer at Eubrics, where he drives technology strategy and leads a 15‑person engineering team. Eubrics is an AI productivity and performance platform that empowers organizations to boost efficiency, measure impact, and accelerate growth. With 16 years of experience in engineering leadership, AI/ML, systems architecture, team building, and project management, Maxim has built and scaled high‑performing technology organizations across startups and Fortune‑100. From 2010 to 2016, he co‑founded and served as CTO of InoVVorX—an IoT‑automation startup—where he led a 40‑person engineering team. Between 2016 and 2022, he was Engineering Head at Apple for Strategic Data Solutions, overseeing a cross‑functional group of approximately 80–100 engineers.

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