Help Desk Software for Education: Improve Student Support & Engagement

Admissions counselors and student support staff working for edtech companies, universities, and colleges have to handle hundreds of conversations each day through calls, chat, and social media channels. It is difficult to spot a missed follow-up with a high-intent lead, an unsupported support request, or an inconsistent counselling approach by manual inspection, and even more difficult to correct such issues on a large scale when an organisation reaches a few thousand interactions a month.

Convozen is a platform for conversation intelligence and AI-powered agents. In the education sector, it enables all admissions calls, counselling sessions, and other support conversations to be converted into structured and actionable data, incorporating automated ticket routing and quality checks. It does not function as an independent IT help desk or ticketing system featuring SLA management, a knowledge base, or asset tracking. Convozen’s role is to provide the layer which makes the conversations that feed into your support and admissions activities trackable, scoreable, and consistent.

Multilingual Conversation Intelligence for Education

In India and in other similar markets, admissions and support conversations seldom take place in just one language or through just one channel. The speech and language processing component of Convozen is designed to cope with this variety, enabling QA scoring and ticket routing to be carried out on the conversation just as it actually occurred, not on a cleaned-up transcript.

Zell Education: Improving Lead Conversion and Counselling Quality

Zell Education, which is one of India’s most rapidly growing edtech companies offering finance and accounting courses, employed Convozen’s AI agents in order to improve the quality of its counselling as the number of learners it served expanded past 1.5 lakh in the metropolitan and Tier 2/3 Indian areas.

Before using Convozen, Zell had no established method for evaluating counselling performance, for identifying where pitches failed, or for systematically picking up on missed follow-ups with high-intent leads. With Convozen, automated call scoring based on a scorecard containing more than ten parameters was introduced, together with the automatic detection of key points such as objections and commitments to follow up, as well as rep-level dashboards.

Ankit Singh, who is the VP of Business Development at Zell Education, said that we could suddenly see various things such as the number of calls that were actually completed, how long the successful ones lasted, which representatives were consistently better, and where the script was failing.

The outcome was an increase of more than 7% in the lead-to-conversion rate, complete visibility into all counselling conversations, and a reduction in manual QA effort of more than 60%.

How ConvoZen Complements Education Help Desk Software

Most education help desks or service management tools are based on IT ticketing, including case management, SLA tracking, self-service portals, and the management of assets for IT requests made by students and staff. Convozen education support system was not designed to take the place of that kind of system; instead, it has been developed to operate on the conversation side of student support and admissions, where calls and chats take place, and to convert those conversations into routed tickets, QA scores, and performance data.

How ConvoZen Supports Education Teams

• The system’s ability to handle AI ticket routing across different channels. Convozen automatically tags, prioritises, and routes the conversations and support requests that come in through calls, chat, and social channels, ensuring that student queries are sent to the appropriate team without the need for manual sorting.
• There is automated quality assurance for each conversation. Rather than manually reviewing a small proportion of counselling or support calls by sampling them, Convozen evaluates 100% of the conversations using a predefined framework, and this framework includes checks for pitch adherence, follow-up commitments, and objection handling.
• The assessment of student rep and counsellor performance involves Convozen evaluating the way in which individual reps deal with both prospective and current students, identifying those who consistently achieve conversions and determining where coaching is required.
• Analysis of sales and enrollment rejection cases. By examining the recorded counselling conversations, Convozen enables admissions teams to identify the common reasons why students decide not to enroll, allowing them to improve their pitches and the way they handle objections based on evidence rather than on guesswork.
• Onboarding and the completion of checklists: Convozen ensures that counsellors and support representatives carry out the required onboarding or disclosure steps in each interaction, not just relying on random inspections.

If the team of your organisation is dealing with admissions counselling or student support conversations through a number of channels and requires consistent quality assurance and routing without having to hire more staff, then arrange a demo to see how Convozen’s AI agents can be applied to your particular workflow.