SleekView Charts for DW Question & Answer: Q&A dashboards
DW Question & Answer stores questions and answers as dwqa-question and dwqa-answer post types in wp_posts, with view counts and vote totals in wp_postmeta. SleekView Charts reads those rows directly and turns them into Number, Pie, Bar, and Area dashboards.
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From DW Question post types to a dashboard
DW Question & Answer uses two custom post types: dwqa-question and dwqa-answer. Answers link to their question through post_parent. The plugin writes per-question counts to wp_postmeta using keys like _dwqa_views for views, _dwqa_votes or _dwqa_question_votes for vote totals, and _dwqa_answers_count for answer count. A question category and tag taxonomy organize the topic mix.
SleekView Charts treats those rows and meta as the chart source. A card can filter wp_posts to questions and count rows for a top-line KPI, group answers by post_parent to find the most-answered questions, or rank users by total votes summed from the meta. Time-series cards group by post_date for daily question and answer trends without any custom SQL.
Admins running DW Question & Answer get a Q&A dashboard with a Number card for new questions this week, an Area card for daily activity, a Pie card for category share, and a Bar card for top-viewed questions. The same rows that drive the front end drive the dashboard, so the data never drifts.
Workflow
Build a DW Question dashboard in four steps
Filter wp_posts to DW types
wp_posts to dwqa-question or dwqa-answer. SleekView Charts handles the WHERE clause so the card only ever sees Q&A rows.
Group and aggregate
post_date. Aggregate Count, Sum, Average, Maximum, or Minimum over _dwqa_views, _dwqa_votes, or any related meta.
Pick a chart shape
Save and share
Sample dashboard
Charts you can build from DW Question data
New questions this week
wp_posts rows with post_type = dwqa-question and post_date inside the last seven days, with the previous week below for context.
Count
Daily Q&A activity
post_date on wp_posts, scoped to the DW Question post types. Shows rhythm and weekend dips.
Count
group by post_date
Questions by category
Count
group by dwqa-question_category
Top viewed questions
_dwqa_views postmeta. Surfaces the threads pulling search traffic and worth featuring on the home page.
Sum(_dwqa_views)
group by post_id
Comparison
Default DW Question admin vs SleekView Charts
Default DW Question admin
- Questions and answers appear in separate post-type list screens with no aggregates
- View and vote totals are stored as postmeta but never charted
- No daily or weekly trend of question and answer volume
- Category-level breakdowns need manual filtering inside each list
- Top-viewed or top-voted questions can be sorted but not visualized
SleekView Charts
-
Count, Sum, and Average across DW Question post types in
wp_posts -
Time-series Area cards from
post_dateon questions and answers - Per-category Pie cards from the DW Question taxonomy
-
Top-question Bar cards from
_dwqa_viewsand vote-total meta - Save dashboards per role for moderators, managers, and growth
Features
What SleekView Charts gives you for DW Question & Answer
Cards over wp_posts and dwqa meta
Every card runs against wp_posts filtered to the DW Question post types and the matching _dwqa_* postmeta. No second database, no nightly export, so dashboards always match the live Q&A.
Number, Bar, Pie, Area
Build a weekly KPI in Number, a top-viewed leaderboard in Bar, a category share in Pie, a daily trend in Area. Seven shapes cover the typical Q&A questions in two clicks per card.
Role-scoped views
Save a dashboard per role and gate it by capability. Moderators land on unanswered, managers on activity, growth on top-viewed, all from one SleekView install.
Audience
Who runs charts on DW Question
Moderators
Unanswered questions per category and a daily question area, so moderation focus shifts to the categories and days that actually need a staff answer this week.
Community managers
Weekly KPIs for new questions and answers plus a per-category pie, confirming whether the topic mix broadens or stays narrow over time.
SEO and growth
Top-viewed questions from _dwqa_views, refreshed against live data. The questions pulling search traffic become obvious instead of hiding in pagination.
The bigger picture
Why DW Question needs a dashboard, not list tables
DW Question & Answer stores a lot in wp_postmeta, but very little of it surfaces as a chart. Views accumulate against each question, votes pile up under their own meta keys, answers grow as post_parent rows, and categories spread across the taxonomy. Admins reading the list screens see a row at a time, not the shape of the community.
SleekView Charts builds the shape. A Number card for new questions this week, an Area card for daily Q&A volume, a Pie card for category share, and a Bar card for top-viewed threads all live on one dashboard, refreshed against the live tables. The team sees trends and outliers in one screen rather than scrolling list tables, and the data on the dashboard is exactly the data the front end serves the next visitor.
Questions
Common questions about SleekView Charts for DW Question & Answer
Cards read wp_posts filtered to dwqa-question and dwqa-answer and the matching wp_postmeta keys (_dwqa_views, _dwqa_votes, _dwqa_answers_count). Term tables back the question category and tag taxonomies, so per-category cards work out of the box.
Yes. _dwqa_views is the postmeta key DW Question uses to track question views. A Bar card grouped by post ID, aggregated by Sum over _dwqa_views, ranks questions by total views, with titles resolved from the same row.
Filter wp_posts to dwqa-question and join to the answer count meta where it is zero (no children with post_type = dwqa-answer and the question as parent). A Bar grouped by category shows where the unanswered backlog lives.
Yes. Vote totals live in postmeta on the question and answer rows. A Bar card aggregated by Sum over the vote-total meta ranks the most-upvoted questions. An Area card grouped by post_date trends voting activity if the plugin stores per-vote rows in a log.
Yes. DW Question registers its own category taxonomy. Pie or Bar cards group on that taxonomy, with one slice or bar per category, so admins see which topics drive the most activity.
Charts run against the live wp_posts and wp_postmeta tables every time a dashboard loads or a card refreshes. There is no nightly cache between the source and the chart.
Cards use indexed queries against the same tables DW Question uses for the front end. A busy Q&A site loads dashboards at admin-list speed. For very large datasets, scope cards by date range to keep aggregations responsive.
Yes. Save a dashboard, gate it by capability or role, and moderators, managers, and growth each land on the saved view that fits their job. One install handles several personas at once.
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