Fluent Forms' survey field types (rating, NPS, Likert, multi-choice grids) write their values into the same fluentform_submissions.response JSON column as any other field. The default reporting tab shows aggregate charts; the entries tab shows responses one at a time. Neither lets ops slice respondents by another answer.

SleekView parses the response JSON at query time and exposes each survey question as a named column. NPS score, Likert position, rating, multi-choice selection, all addable to the table with filters that compose. "Detractors who also rated support poorly" is one saved view.

Inline edits go through Fluent Forms' submission API where field types allow. Cross-survey views with form_id as a column let analysts compare onboarding, post-purchase, and support surveys in the same table.

Survey reports usually stop at the chart. NPS distribution, rating histogram, response volume by question, all aggregated, all averaged, all detached from the individuals who answered. The default Fluent Forms reports tab follows that template, and for at-a-glance reading it's fine.

The operational gap opens the moment someone asks a question the chart can't answer. Which detractors also rated support poorly? Which promoters opened the follow-up email but never replied? Which respondents from the onboarding survey churned in the same quarter? Every one of those needs the underlying respondent-level data, sliced and filtered with multiple conditions at once. The data is already there, sitting in fluentform_submissions.response as a JSON payload.

SleekView parses it into columns and lets ops compose the views their actual workflows demand. The chart layer stays useful for monthly summaries; the table layer becomes the daily working surface for CX, product research, and marketing analysis.