Ship features users actually asked for.
Stop guessing from comment walls.

Revuloop runs PMF, beta, feature, and churn surveys with adaptive AI follow-ups : turning vague user comments into themed, ranked product signal.

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Updated August 15, 2026Reviewed by the Revuloop teamPMF · Beta · Feature requests · Churn

Quick answer: Revuloop for product feedback

Revuloop runs PMF, beta, feature-request, and churn surveys with adaptive AI follow-ups: turning vague user comments into themed, ranked product signal. Ships an Embed SDK (@revuloop/embed), a 99+ endpoint REST API, HMAC-signed webhooks, and native Slack, Zendesk, Notion, Mailchimp, Zapier, Segment, and Make integrations. An MCP server with 30+ tools lets Claude, Cursor, Windsurf, and n8n run research from a natural-language prompt. Free plan includes unlimited active surveys, 150 responses/month, and 200 AI tokens.

You have 600 user comments.
None of them is a roadmap.

Product teams drown in feedback and still struggle to pick the next thing to build. Static surveys don't probe, don't rank, and don't cluster.

Static Surveys

Why static product surveys waste PM time

  • Feature requests come in without severity, frequency, or workaround context.
  • PMF surveys ask the score but not the follow-ups that define the ICP.
  • Cancellation reasons are half-truths from a pre-baked dropdown.
  • Beta feedback is unstructured and impossible to triage at volume.
  • Themes get tagged manually, weeks after the decision needed to happen.
Revuloop Adaptive AI

How Revuloop runs product surveys

  • Adaptive AI follow-ups qualify every request with severity and context.
  • Sean Ellis PMF test with auto-follow-ups on 'very disappointed' users.
  • Churn surveys probe past the first excuse to the real trigger.
  • In-product triggers via API, webhook, or embed SDK fire at the right moment.
  • Auto-themed, sentiment-tagged insights drop right into roadmap reviews.

From “I'd be disappointed”
to a sharper ICP in three turns.

Here's how Revuloop turns a single PMF answer into a qualified signal your product team can actually use.

Smart Survey
Q1 / 4

How would you feel if you could no longer use our product?

AI-adapted
Continue
Qualitative Insight
Waiting for the conversation

Every product feedback loop on one platform.

From PMF tests to beta feedback to churn triage. Stop stitching together five tools and start running product research on an AI-native platform.

Test it before you send it

Run your draft past AI respondents first. They answer it the way a rushed customer would, then tell you which questions confused them and where they would have quit. Free on every plan.

Feature Request Intake

Capture feature ideas with follow-ups that qualify severity, frequency, and current workarounds, so your PM team prioritizes on signal, not volume.

Product-Market Fit Surveys

Run the Sean Ellis PMF test with adaptive follow-ups for 'very disappointed' respondents. See exactly what the must-keep users love.

Beta & Usability Feedback

Ship a beta, ship a survey. Adaptive AI asks testers the right follow-up for the bug, workflow, or confusing state they hit.

Churn & Cancellation Surveys

Static 'Why are you leaving?' dropdowns lie. Adaptive follow-ups get past the first excuse to the real reason, and flag save-able accounts.

In-Product Triggers

Fire surveys from your app via API, webhooks, or the embed SDK: post-onboarding, after a key event, or when usage drops.

Roadmap-Ready Insights

Themes and sentiment are auto-tagged and exportable. Drop them straight into your PRDs, retros, and roadmap reviews.

Product teams ask us these first.

What is a product feedback survey platform?

Revuloop is an AI-powered product feedback platform for capturing feature requests, beta feedback, churn reasons, and product-market fit signal from real users. Revuloop's adaptive AI engine asks tailored follow-up questions in real time and auto-extracts themes, patterns, and segments so product teams act on signal instead of scrolling a wall of comments.

Does Revuloop support the Sean Ellis PMF test?

Yes. Revuloop ships a dedicated PMF Blueprint template that runs the Sean Ellis disappointment question and uses adaptive AI follow-ups on 'very disappointed' respondents to surface the core value driver, alternative tools, and the most-affected user role. You can preview the template at /templates/product-market-fit.

Can I trigger surveys from inside my product?

Yes. Revuloop ships an Embed SDK (@revuloop/embed) with popup, slider, and inline widgets, plus a REST API (99+ endpoints) and webhook triggers: all available on the Pro plan ($49/mo). Fire surveys on onboarding completion, post-activation, after a key event, or on usage drops, with short-lived rlet_ embed tokens for secure in-product rendering.

How does Revuloop handle churn and cancellation surveys?

Revuloop runs churn surveys with adaptive follow-ups that probe past the first excuse to the real trigger, and emits RESPONSE_SUBMITTED and RESPONSE_FILTERED webhook events with HMAC signatures. Route them to Slack, Zendesk, or any webhook to flag save-able accounts the moment a cancellation survey lands.

Does Revuloop's analytics pipeline extract themes from open-text feedback?

Yes. Revuloop's 4-phase AI analytics pipeline (aggregation → chunk analysis → synthesis → finalization) runs as a background job via Inngest and extracts themes, sentiment, patterns, and segment profiles from every response. Output is exportable and drops straight into PRDs and roadmap reviews.

Can AI assistants like Claude or Cursor create surveys in Revuloop?

Yes. Revuloop ships a Model Context Protocol (MCP) server at @revuloop/mcp-server with 30+ tools for creating surveys, running adaptive sessions, and analyzing results. The server installs in Claude Desktop, Cursor, Windsurf, Claude Code, and n8n, so product teams can run research from a natural-language prompt inside their AI assistant.

How is Revuloop different from Typeform for product research?

Typeform is a static form builder; Revuloop is an AI-adaptive research platform. Revuloop's Smart Surveys ask tailored follow-ups per respondent, auto-theme the results, expose 99+ REST API endpoints, ship an Embed SDK, and integrate natively with product tools via Slack, Zendesk, Segment, Notion, Zapier, and Make. The Revuloop free plan includes unlimited static surveys, 1 active Smart Survey, and up to 150 responses per month.

Is Revuloop free for small product teams?

Yes. Revuloop's free plan includes unlimited static surveys, up to 150 responses per month, 20+ question types, AI survey generation from a plain-English prompt, 200 one-time AI tokens (usable on any AI feature), and 1 active adaptive Smart Survey at a time. The $19/month Starter plan removes Revuloop branding and adds the full analysis, email campaigns and the REST API. The $49/month (or $539/year) Pro plan removes the Smart Survey cap and adds full analytics, sentiment tracking, custom branding, 2,500 tokens/month, and the Embed SDK, REST API, and webhooks for in-product triggers. The $149/month (or $1,639/year) Business plan adds SSO, white-label, and executive dashboards.

Turn raw feedback
into a prioritized roadmap.

Start free and run your next PMF, beta, or feature survey with adaptive follow-ups, or book a 30-minute demo and we’ll walk through a live example with your team.

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