Clarity That Coaches: How AI is Changing Counselor Training in Admissions
- teegemettille
- Sep 1
- 1 min read
Every admissions leader knows their team. They know who connects naturally with students, who gets results, and who needs more support. But knowing who needs help is different from knowing how to help them.
Most training programs are broad, covering everyone with the same advice. Most feedback is anecdotal, based on the few calls or emails a leader has time to observe. That’s not because leaders don’t want to go deeper—it’s because they can’t realistically listen to every conversation or read every message. The result? Counselors get generic coaching when what they need is personal, precise guidance.
That’s exactly the gap we explored in our latest white paper, Clarity That Coaches. Using enroll ml’s Reasoning and Guidance engine, we looked for patterns in counselor outreach, tone, personalization, message sequencing, and more, across real student interactions already stored in the CRM. The AI didn’t grade performance. It revealed why certain approaches worked and where small adjustments could make a big difference.
From identifying transactional SMS habits to highlighting missed opportunities to connect student goals to the institution’s mission, the system surfaced clear, actionable insights for each counselor, insights that could be turned into coaching plans immediately. No guesswork. No generic “do better” messages. Just targeted recommendations, tailored to each individual’s communication style and strengths.
If you’ve ever wished you could pinpoint why a counselor is struggling, and give them feedback that actually sticks—you’ll want to read this.
