SleekView Charts for UserFeedback
SleekView Charts reads the survey responses UserFeedback stores in its custom tables and post types, and renders response volume, sentiment, top questions and per-page completion as Number, Pie, Bar and Area cards instead of a single results screen.
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Surveys produce real data. The default report is one perspective among many.
UserFeedback (by the Awesome Motive team behind MonsterInsights) embeds on-site surveys: rating questions, multiple choice, free text and follow-ups. Responses land in the plugin's custom tables (response and question records keyed by survey_id) and the questions themselves are managed as custom post types. The default analytics screen aggregates each survey individually, which is the right starting point and the wrong place to stop for teams running several surveys at once.
SleekView Charts reads the same response tables and renders cross-survey insight as chart cards. A Number card counts responses received in the last seven days across every active survey. A Pie splits responses by survey type so product leads see whether NPS, satisfaction or feature-request surveys dominate this quarter. A Bar ranks pages or post types by response count so the team knows where surveys actually fire. An Area trends daily responses so a survey launch produces a measurable line, not just a one-off summary.
The dashboard reads the data UserFeedback already collects, no second tracker added. Filters carry between the table view of raw responses and the chart view of aggregates, so a filter for one survey narrows both surfaces.
Workflow
Turn UserFeedback responses into a dashboard
Read the response tables
Compose the chart cards
Save and scope the dashboard
Share or export
Sample dashboard
Charts you can build from UserFeedback data
Responses last 7 days
Count
Response mix by survey
Count
group by survey_title
Responses by page
Count
group by page_url
Responses per day
Count
group by created_at
Comparison
Default UserFeedback analytics vs SleekView Charts
Default UserFeedback analytics
- Per-survey screen aggregates one survey, not a portfolio across all of them
- No cross-survey KPI for responses in a rolling window
- Cannot split response mix across active surveys visually
- No per-page breakdown of where surveys actually fire and convert
- No combined daily trend across surveys for product reviews
SleekView Charts
- KPI card for total responses across every active survey
- Pie of response mix to surface which survey actually generates signal
- Bar of responses by page to reveal where surveys fire and where they sit silent
- Area trend of daily volume to measure launch impact and decay
- Filters carry between table view and chart view on the same dataset
Features
What SleekView Charts gives you for UserFeedback
Portfolio dashboard, not per-survey
Render every active survey's responses on one canvas so product and marketing leads see the full feedback picture in a glance.
Filters span table and chart
Filter to one survey, one page or one date range in the chart view and the raw-response table narrows to the same cohort.
Share a read-only snapshot
Send a product lead the URL of the feedback dashboard or export the filtered cohort to CSV. Weekly product pulses use one source of truth.
Audience
Who builds UserFeedback charts dashboards with SleekView
Product teams
Track NPS, satisfaction and feature-request surveys side by side, pivot on response_value for sentiment and watch daily volume after every product release.
Customer support
Watch the responses-by-page bar for help-doc pages with elevated feedback and pair it with the raw-response table to triage qualitative comments fast.
Marketing leads
Survey landing pages, then split responses by page and by survey to evaluate which messages collect signal and which placements need a redesign.
The bigger picture
Why on-site surveys need a portfolio dashboard
UserFeedback turns on-site surveys into one of the cleanest first-party feedback channels a WordPress site has. The plugin captures the responses precisely; the default analytics screen reads them one survey at a time, which is the right entry point and the wrong place to stop when a team runs five surveys in parallel. The shape of the dashboard matters: a KPI of total responses anchors weekly product pulses, a survey-mix pie surfaces which questions actually generate signal, a responses-by-page bar reveals which placements work and a daily trend confirms whether a launch moved the line.
Same userfeedback_responses rows, same survey definitions, completely different posture toward the data. The grid renders what the plugin already collects as a portfolio dashboard, which is the difference between reading one survey's report and understanding the whole feedback program.
Questions
Common questions about SleekView Charts for UserFeedback
Only the records UserFeedback already writes to its userfeedback_responses, userfeedback_surveys and userfeedback_questions tables, plus the question custom post types. Standard columns like survey_id, response_value, page_url and created_at are read directly. No second tracker is added.
Yes. Conditional questions write rows tied to the parent response. The dataset exposes parent_response_id and question_id so a follow-up question can be charted on its own or alongside the question it branches from.
Yes. Rating questions store the numeric value in response_value. A Number card with Average aggregation gives a live CSAT, and a derived NPS column (promoters minus detractors) supports a Number card or a per-page Bar.
Yes. The chart view and the table view share the dataset, so a filter for one survey or one page narrows both surfaces. Product teams pivot between qualitative reading and quantitative summary without rebuilding any filter.
Yes. Group by created_at with an Area or Line card and aggregate as Count to see daily, weekly or monthly volume. Useful for evaluating launches and seasonal patterns in feedback collection.
No. The dashboard is read-only over the response tables. Survey firing, conditional logic and MonsterInsights integration stay untouched, which keeps response capture exactly as configured.
Yes. Combine a WordPress capability gate with a filter for specific survey_ids so the product team sees only its surveys and the support team sees only its own, while leadership sees the full portfolio.
Yes. Any filtered cohort behind a chart card exports as CSV with the same columns the table view would show, including response value, page URL and timestamps. Product leads typically use the export for quarterly NPS reports.
Pricing
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