LifterLMS Groups lets you run cohort programs where multiple students share courses, instructors, and reporting. The platform stores the cohort as an llms_group custom post type, links members through user postmeta, and assigns leaders who can see group progress reports.

SleekAI maps the llms_group posts, the wp_lifterlms_user_postmeta enrolment records, and the group leader role data. The chatbot answers learner questions about which courses are in the cohort, leader questions about member progress, and admin questions about cohort completion rates across many groups, with every reply grounded in live data.

Generic chatbots cannot see any of that. They treat each student as if they belong to a single global course catalog, which destroys the cohort experience. SleekAI keeps the cohort scope intact through display conditions and per-variable filtering, so one bot config can serve everyone correctly.

Cohort learning works because students do not feel alone. They feel part of a group going through the same week at the same time. The biggest threat to that feeling is silence in the first seven days.

A learner who never gets oriented in week one rarely comes back in week two. A SleekAI chatbot grounded in LifterLMS Groups data shrinks that silence. New cohort members can ask the bot what their group is, what courses are in it, and who else is enrolled.

The bot answers without forcing them to discover the LifterLMS dashboard layout. Group leaders win in parallel. Reporting that used to require opening the LifterLMS Group Reports screen now happens in a normal chat.

The leader asks how the cohort is tracking and gets a one-line answer. They can drill into a single learner without navigating away. Admins on the same widget see across cohorts, so a corporate L&D team can manage many groups from one conversational surface.

The privacy story stays clean. Variables filter by group membership and leader assignment at request time. Roles can be checked the same way.

A learner cannot fish for another cohort's data, and a leader cannot accidentally see cohorts they do not lead. That keeps the LifterLMS Groups privacy model intact while making it dramatically more accessible.