SleekView Charts for LifterLMS Advanced Quizzes: attempt and score dashboards
SleekView Charts reads llms_quiz attempts via lifterlms_user_postmeta and the quiz score postmeta directly. Total attempts, pass rate, score distribution and attempt trend render as Number, Pie, Bar and Area cards inside WP Admin.
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Quiz results are in WordPress. The dashboard is not.
LifterLMS Advanced Quizzes records each quiz attempt as a row in lifterlms_user_postmeta with meta keys for grade, status and start time. The quiz post itself is a llms_quiz with postmeta for the passing threshold and per-question detail. The data is correct and complete, but the default LifterLMS reporting screen lists the attempts and never visualises the things a course operator actually cares about: pass rate, score distribution, attempts per quiz, attempt trend over time.
A scaled course site that runs hundreds of quiz attempts a week needs that visual. A drop in pass rate against a flat enrolment trend is the first signal that a question was rewritten in a way that nobody on the team intended, or that a recent reorder of the lesson stack put the assessment in front of learners who had not seen the new content yet. The information is in lifterlms_user_postmeta. The friction is that it is not rendered as a chart.
SleekView Charts reads lifterlms_user_postmeta and the llms_quiz postmeta directly. A Number card counts attempts this month. A Pie splits attempts across pass, fail and pending. A Bar ranks quizzes by attempt count. An Area trends average score per week against the catalogue release calendar. The whole quiz health picture lives on one screen, inside WP Admin, against the live data the LMS itself queries.
Workflow
Turn LifterLMS quiz data into a dashboard
Map quiz and attempt sources
Compose the chart cards
Save and scope the dashboard
Share or export
Sample dashboard
Charts you can build from LifterLMS quiz attempt data
Quiz attempts this month
Count
Attempts by status
Count
group by status
Top quizzes by attempts
Count
group by post_id
Average score over time
Average(grade)
group by attempt_date
Comparison
Default LifterLMS reporting vs SleekView Charts
Default LifterLMS reporting
- Attempt list shows the rows but never visualises pass rate or score distribution
- Per-quiz attempt ranking requires building a custom report from scratch
- Score trend across weeks is not a default visual against catalogue changes
- Stuck-in-pending attempts hide in the list view rather than spike on a chart
- Stakeholders without admin access cannot see the operational quiz picture
SleekView Charts
-
KPI card for monthly attempts from
lifterlms_user_postmeta - Donut split of pass, fail, pending and incomplete attempt statuses
-
Bar ranking quizzes by attempt count via
post_id - Area trend of average score across weeks against catalogue changes
- Capability-gated views so instructors and operations each see the right slice
Features
What SleekView Charts gives you for LifterLMS Advanced Quizzes
Quiz health in WP Admin
Render lifterlms_user_postmeta and the llms_quiz post type as four chart cards. The dashboard sits next to the quiz library instead of in a separate analytics tool.
Filter by quiz or status
Filter to a single quiz post_id or to failed attempts only and the underlying attempt rows stay in sync. Same lifterlms_user_postmeta query, two surfaces, no duplicate filter logic.
Share with course owners
Send a course owner a URL of the quiz health dashboard. They see attempt volume, pass rate and score trend without needing the LifterLMS reporting screen or an admin tour.
Audience
Who builds LifterLMS quiz charts dashboards with SleekView
Course admins
Audit which quizzes are doing the work. A donut split across attempt status reveals that two quizzes account for most of the volume and that one of them has a pass rate dropping each week.
Instructors
Watch the area chart of average score across weeks. A drop that lines up with a content edit usually means the question text shifted in a way that did not survive the new lesson order.
Learning operations
Spot pending and incomplete attempt spikes on the pie chart. A jump in pending attempts often signals a timer or browser issue that needs a tech-side fix before more learners get stuck.
The bigger picture
Why quiz attempts deserve a dashboard
Quiz attempts are the most actionable signal a course site produces. A learner who attempts an assessment has engaged with the content all the way through, and the result tells the team whether the content landed. LifterLMS records every attempt with grade, status and timing in lifterlms_user_postmeta, but the default reporting screen renders that data as a row-by-row list.
A list answers a specific question the operator already knew to ask. A dashboard answers the questions the operator forgot to ask: a pass rate that has been sliding for three weeks, a quiz that absorbs an hour of learner time per attempt, a pending-status spike that started the day a browser update shipped. Putting attempts on a Number, Pie, Bar and Area card collapses the weekly review into a thirty-second glance and turns silent quality drift into a visible chart.
Same lifterlms_user_postmeta, dramatically more operational insight.
Questions
Common questions about SleekView Charts for LifterLMS Advanced Quizzes
The lifterlms_user_postmeta table for the attempt rows (meta keys like _llms_quiz_attempts, grade, status, attempt date) and the llms_quiz post type for the configuration side (passing threshold, question count). The two join via the post_id column on each attempt.
 No. It reads the same source data and renders a different view. The built-in reporting screen lists attempts row by row. SleekView Charts renders them as Number, Pie, Bar and Area cards. Both can run side by side without conflict.
 Yes. The llms_quiz post has parent context for the lesson and course, so the same chart cards filter to a single lesson, a single course or the union of both without rewriting the underlying query.
 Yes. A Bar chart grouped by grade bucket against a fixed quiz post_id renders the score distribution. Useful for spotting a question that everyone gets wrong (bimodal distribution) versus a quiz that is calibrated correctly (bell curve around the threshold).
 The cards render against the live lifterlms_user_postmeta table. There is no aggregation job and no separate analytics store. An attempt LifterLMS has already recorded shows up on the dashboard at the next render.
 Yes. The plugin's own reports and SleekView read the same underlying tables but render different views. SleekView focuses on volume, mix and trend at the dashboard level, complementing the per-attempt detail the plugin already provides.
 No. lifterlms_user_postmeta uses standard meta indexes on user_id, post_id and meta_key. Sites with millions of attempt rows still render the dashboard well under a second on typical Kinsta or WP Engine hardware.
 Yes. Every dashboard exports the underlying attempt rows to CSV or JSON. Useful for sending a per-quiz audit to a course owner or for combining LifterLMS attempt data with HR or compliance records outside WordPress.
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