No. SleekView reads the underlying tables directly — learndash_user_activity, learndash_user_activity_meta, the learndash_pro_quiz_* family — so you don't need ProPanel to get the activity and quiz views described here. ProPanel adds visualisation; SleekView adds composability. The two can coexist if you want both, but neither requires the other.

Yes. Course progress is computed from learndash_user_activity rows where activity_type is course (with steps tracked as related lesson and topic activity rows). SleekView aggregates them into a per-student progress percentage column. The aggregate is heavier than direct columns, so opt in per view rather than including it in every list.

Quiz answers live in learndash_pro_quiz_statistic_ref, linking each attempt to per-question answers. SleekView exposes that as a related child table so you can drill from a quiz score down to what the student actually answered. Useful for grading manually-reviewed quizzes and for spotting questions where most students get the same wrong answer.

Where SleekView uses LearnDash's APIs (course completion, lesson completion, topic completion, quiz grading), the standard hooks fire — certificates issue, notifications send, group progress updates as expected. Direct table edits skip hooks by design for back-fill scenarios where you don't want notifications. Pick per-view based on whether side effects are wanted.

Yes. Group-scoped views are supported — filter activity by user IDs that belong to a given groups custom post type membership. Useful for cohort-based programs (corporate clients with sub-groups, university course sections) where reporting needs to be scoped per group rather than across the whole site. Group leaders can have their own SleekView gated to their group.

Yes. SleekView exports any view to CSV or JSON, so you can hand reports to external tools (Tableau, BI dashboards, learner-record stores) without recreating the query each time. Useful when an L&D team needs to combine LearnDash data with HRIS data — export filtered SleekView output, join externally, and the LearnDash side stays consistent across exports.

Queries hit indexed columns (user_id, activity_type, activity_status, activity_started). Pagination is keyset where possible. Aggregate columns (course progress percentage) are opt-in per view since they're heavier — keep them off list views where you're scanning many rows, and on per-student detail views where the aggregate cost is bounded by one user.

Yes — pivot learndash_pro_quiz_statistic with student rows and quiz columns to get a gradebook-style view. The pivot is per-cohort to keep it readable; full-catalogue pivots get unwieldy quickly. Combined with the per-question difficulty view from learndash_pro_quiz_statistic_ref, instructors get both ends of the data they need for course iteration.