SleekView Charts for Quiz And Survey Master
Read directly from wp_mlw_results, wp_mlw_quizzes, and wp_mlw_questions. Build pass-rate donuts, per-quiz score averages, and attempt-volume trends as chart cards instead of paging through a flat results list.
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Quiz attempts as charts, not a paginated list
QSM keeps quiz definitions in wp_mlw_quizzes, questions in wp_mlw_questions, and every attempt in wp_mlw_results with score, time_taken, time_started, the user, per-question answers as serialised data, and any custom contact form fields the quiz collected. The default QSM results page is a flat list that works for spot-checking attempts but breaks at scale — a compliance quiz across two hundred staff or a survey with thousands of responses turns into a paging exercise.
SleekView Charts reads those same tables and turns them into a dashboard. A Number card counts attempts this week. A Pie card breaks attempts down by pass and fail share. A Bar card averages score per quiz. An Area card plots attempt volume over time so launch effects and reminder campaigns are visible at a glance.
Custom contact form fields become extra dimensions too. Group a Bar card by department from a contact field and the compliance dashboard tells HR which teams are lagging without an export. Filter the whole dashboard by quiz, date range, or a specific contact field and every card recomputes against the subset.
Workflow
Build a QSM dashboard from the results table
Source from results
wp_mlw_results as the base. Score, time_taken, time_started, and user_id are direct columns; per-question correctness and contact fields are available through the serialised result data.
Join quizzes and questions
wp_mlw_quizzes for quiz titles and pass thresholds and wp_mlw_questions for per-question difficulty cards.
Configure cards
Save per role
Sample dashboard
Charts you can build from Quiz And Survey Master data
Attempts this week
Count
Pass vs fail share
Count
group by pass_status
Average score per quiz
Average(correct_score)
group by quiz_id
Attempt volume trend
Count
group by time_started
Comparison
Default QSM admin vs SleekView Charts
Default QSM admin
- Results page is a flat list, not a dashboard
- Pass-rate share isn't a saved Donut card
- Per-quiz score averages need manual aggregation
- Attempt-volume trends aren't a built-in chart
- Custom contact fields aren't usable as chart dimensions
SleekView Charts
- Attempt-count Number card from wp_mlw_results
- Pass-share Donut computed against each quiz's pass threshold
- Per-quiz score Bar grouped by quiz_id
- Attempt-volume Area from time_started timestamps
- Custom contact fields available as chart dimensions
Features
What SleekView Charts gives you for Quiz And Survey Master
Per-quiz score Bar
Average correct_score grouped by quiz turns the flat results list into a leaderboard. Trainers see which quizzes work and which need revision instantly.
Pass-share Donut
Pass and fail share computed against each quiz's pass threshold. Filter to a compliance quiz and the donut tells HR exactly what attestation looks like.
Contact field segmentation
Marketing surveys carry custom contact fields (company, role, department). Chart cards group by any of them so segmentation becomes a filter, not an export.
Audience
Who builds QSM charts dashboards with SleekView
Trainers and instructors
Per-quiz score Bar, pass-share Donut, and attempt-volume Area on a learner-focused dashboard. Identify weak quizzes and struggling cohorts in one glance.
Marketing teams
Survey-segmentation dashboard grouped by contact field. Pie cards on company size, Bar cards on role, Area on response volume. Campaigns get specific, fast.
Compliance officers
Attestation Number card, department-grouped pass-share Donut, and attempt trend by mandatory-quiz launch date. Compliance reporting becomes a saved view.
The bigger picture
Why analysts and trainers need chart-ready quiz data
QSM gets used in two very different ways: as a learning tool where instructors care about who passed and who needs help, and as a survey tool where marketers care about how respondents segment. The default results page treats both as a flat list, which works for nobody once volume crosses a few hundred entries. A compliance officer running a mandatory quiz across two hundred staff needs the attestation dashboard, not page 9 of results.
A marketing team running a customer survey needs a segmentation dashboard, not exports for every cohort. SleekView Charts turns the results table into a real dashboard. Same underlying data, same hooks intact for any inline edits routed through the API, dramatically more useful as a daily operational surface for the people who actually live in the quiz.
Questions
Common questions about SleekView Charts for Quiz And Survey Master
Yes. SleekView Charts queries wp_mlw_results, wp_mlw_quizzes, and wp_mlw_questions directly. That keeps the dashboard fast on large attempt sets and means chart cards can group on any indexed column without postmeta workarounds.
Yes. The serialised answers on each result row decode into per-question rows, so a Bar card grouped by question_id with average correctness shows per-question difficulty across all attempts. Useful for survey analysis and quiz revision.
Yes. Page-level filters (quiz, date range, contact field) propagate to every card. Pick a quiz in the filter bar and the Number, Pie, Bar, and Area cards all recompute against that subset.
Yes. Each card can link to a SleekView Table with the same filters applied. A low slice on the per-quiz score Bar opens that quiz's failed-attempt list, ready for review.
Yes. Certificate-related fields (certificate ID, download status) become extra chart dimensions when the add-on is active. Group attempts by certificate-issued status, or surface count of pending certificates as a Number card.
Yes. time_taken is a direct column on every result row. A Bar card grouped by quiz_id with average time_taken surfaces rushed completions or quizzes where learners struggle. Combine with score for suspicious-attempt detection.
Yes. Bulk anonymise runs on the underlying rows so personal fields clear while score and timing stay for analytics. Chart exports respect the anonymisation, so compliance teams can hand reports to external auditors without re-cleaning.
Yes. Each subsite has its own QSM tables and SleekView Charts reads the current subsite. Cross-site aggregations aren't supported, but per-site dashboards behave as expected with role-scoped views per subsite.
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