SleekView for UserFeedback
SleekView reads the userfeedback_responses, userfeedback_surveys and userfeedback_questions tables UserFeedback writes for every survey submission, and renders the dataset as a sortable, filterable per-row audit grid inside WP Admin instead of a per-survey results screen.
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Surveys collect rows. A table reads them as rows.
UserFeedback (by the Awesome Motive team behind MonsterInsights) embeds on-site surveys: rating questions, multiple choice, free text and conditional 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 reads the same response tables and renders cross-survey responses as a per-row table. Each row is one response with survey, question, response_value, page_url, visitor type and timestamp. Filter to NPS detractors on the pricing page, scope to last-7-days responses across every active survey, or sort by response_value to triage the most negative free-text comments first. Saved per-role views land product on the satisfaction grid, support on the help-doc audit and marketing on landing-page surveys.
Because the table reads what UserFeedback already writes, no second tracker is added. Survey firing and conditional logic continue to be the plugin's job; the table is the row-level audit surface the per-survey screen does not expose.
Workflow
How SleekView surfaces UserFeedback data
Point at the response tables
Compose the columns
Filter and sort like a database
Save and gate the view
Sample columns
A typical UserFeedback response audit view
userfeedback_responses + userfeedback_surveys + userfeedback_questions
| Survey | Question | Response | Page | Visitor | Created |
|---|---|---|---|---|---|
| Quarterly NPS | How likely to recommend? | 3 | /pricing | Returning | May 14 09:12 |
| Help doc CSAT | Did this answer your question? | Yes | /docs/setup | New | May 14 08:48 |
| Quarterly NPS | How likely to recommend? | 9 | /dashboard | Returning | May 13 17:21 |
| Launch feedback | What feature would help most? | Bulk export | /features/launch | New | May 13 14:05 |
| Help doc CSAT | Did this answer your question? | Partly | /docs/billing | Returning | May 13 11:38 |
Comparison
Default UserFeedback analytics vs SleekView
Default UserFeedback analytics
- Per-survey screen aggregates one survey, not a queryable cross-survey grid
- Free-text responses are listed per survey, not filterable by page or visitor type
- No way to scope multiple surveys to the last 7 days in one view
- Per-page response audits require export plus spreadsheet work
- Conditional follow-ups are not exposed alongside their parent question as columns
SleekView
- Read directly from userfeedback_responses with surveys and questions joined
- Cross-survey grid with response, page, visitor type and timestamp as columns
- Filter to NPS detractors on one page or CSAT below threshold in a click
- Save filtered views per role ("Detractors this week", "Help-doc feedback")
- Same dataset the chart view reads, so table and dashboard stay in sync
Features
What SleekView gives you for UserFeedback
Responses as a real grid
Render userfeedback_responses rows with survey, question, response value and page as configurable columns instead of one per-survey leaderboard.
Conditional follow-ups, inline
Each follow-up response links to its parent via parent_response_id. SleekView exposes both as columns so a branched answer reads in the same row as the trigger question.
Compose precise filters
Combine survey, question, response value, page URL, visitor type and date into one saved filter. A view like "NPS under 7, /pricing, last 30 days" is one query.
Audience
Who uses SleekView for UserFeedback
Product teams
Track NPS, CSAT and feature-request responses side by side, filter detractors by page and triage free-text comments with the most negative ratings first.
Customer support
Filter Help-doc CSAT responses to "No" or "Partly" on a single docs URL and triage the qualitative feedback row by row with the page context attached.
Marketing leads
Survey landing pages, then group responses by page_url and visitor type to evaluate which messages collect signal and which placements need a redesign.
The bigger picture
Why on-site surveys deserve a row-level audit grid
UserFeedback turns on-site surveys into one of the cleanest first-party feedback channels a WordPress site has. The plugin captures 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. SleekView reads userfeedback_responses, userfeedback_surveys and userfeedback_questions directly and renders the dataset as a cross-survey grid with response, page, visitor type and timestamp as columns.
Product filters detractors by page, support triages help-doc CSAT on a single URL, marketing evaluates landing-page feedback against placement and message. Same responses, same survey definitions, completely different posture toward the data. The table renders what the plugin already collects as a row-level audit, which is the difference between reading one survey's report and understanding the whole feedback program.
Questions
Common questions about SleekView 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 answer can be filtered on its own or read alongside the question it branches from.
Yes. Rating questions store the numeric value in response_value. Filter to scores under 7 for the detractor cohort, group by page_url for placement-level CSAT, or compute a derived nps_bucket column for promoter/passive/detractor splits.
Yes. The dataset exposes survey_id, survey_title and page_url as filterable columns. Stack them with a date range and visitor type for a per-survey, per-page audit in one view.
Yes. Where the row supports edits, updates route through the plugin's CRUD layer, so any integration listening for response updates reacts the way it would from the default admin.
No. The table 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 view exports as CSV with the same columns the table shows, including response value, page URL and timestamps. Product leads typically use the export for quarterly NPS reports.
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