Trigger adaptive AI surveys the moment a learner finishes a module. The 4-phase AI analytics pipeline tags content gaps, cohort patterns, and applied-behavior signals, so your team stops reading free-text and starts fixing training. Built for LMS platforms, L&D teams, and cohort-based courses.
Revuloop is the feedback layer your LMS was supposed to have. Your LMS posts a checkpoint.completed webhook and Revuloop fires an adaptive AI survey to the learner, then aggregates themes, content gaps, and applied-behavior signals across the cohort. Works with Docebo, Absorb, Thought Industries, Continu, Northpass, LearnUpon, TalentLMS, and any platform that can emit a webhook. GDPR-ready for EU training programs with Article-18 processing restrictions enforced inside the AI analytics pipeline.
Most LMS platforms ship a 5-star course rating and call it feedback. That tells you nothing about whether the content worked, whether learners can apply it, or whether the program moved a business outcome.
Most LMS platforms only capture a 5-star course rating at the end. Revuloop is built to collect richer, event-triggered feedback at every point in a learner's journey, and to surface themes across every moment.
Capture how a learner felt about a session the moment they finish. Adaptive AI follow-ups ask exactly what fell flat, not a one-word 'good' or 'bad'.
Multi-format surveys (rating, scale, multiple choice, ranking, open text) measure what a learner retained and how confidently they feel they could apply it.
Fire a follow-up survey from any event your system emits. A manager check-in, a work-product submission, or a milestone hit. Revuloop launches the survey; you pick the trigger.
Per-cohort analytics across instructors and content versions surface where training is (and isn't) landing. Push the aggregated signal to your BI or data warehouse via webhooks.
Here's what adaptive AI looks like when a learner finishes a module and says they're not confident they can apply it.
How confident are you that you could apply what you just learned? (1-5)
From the first-module reaction to applied-behavior check-ins triggered by your own system events, Revuloop is the feedback layer your LMS was supposed to have.
Your LMS fires a webhook; learners get contextual surveys inline, not an email invitation three days later that nobody opens. Maps to Revuloop's generic partner-event schema so any platform that speaks webhooks can integrate.
Compare feedback across cohorts, instructors, and content versions. The 4-phase AI pipeline extracts themes, patterns, segments, and correlations, without anyone on your team hand-coding open-text responses.
Docebo, Absorb, Thought Industries, Continu, Northpass, LearnUpon, TalentLMS. If your LMS can post a webhook or call an API, Revuloop integrates. Generic event mapping, no platform-specific connector needed.
Revuloop ships a pre-built event-feedback strategy that auto-segments respondents by satisfaction signal and routes branching follow-ups. Adapt it for module reaction, knowledge-check, or instructor feedback workflows.
Run an LMS? Embed Revuloop under your brand and subdomain via the Partner Program. Your customers get native-feeling feedback without you building an evaluation engine.
When a cohort consistently misunderstands the same concept, Revuloop's AI analytics pipeline surfaces it as a tagged theme with example learner quotes. Your content team gets a priority list, not a spreadsheet.
Revuloop triggers an adaptive AI survey when your LMS emits a lifecycle event: most commonly checkpoint.completed. The learner sees a branded survey inline (embed, popup, or email), adaptive follow-ups dig into the concepts they struggled with, and results flow into Revuloop's analytics pipeline automatically.
Revuloop works with any LMS that can emit a webhook or call an API. Platforms like Docebo, Absorb, Thought Industries, Continu, Northpass, LearnUpon, and TalentLMS all support webhook integrations that map directly to Revuloop's generic partner-event schema (checkpoint.completed, user.activated, resource.event_ended). No platform-specific connector required.
Revuloop runs a 4-phase AI analytics pipeline (aggregate → chunk-analyze → synthesize → persist) via Inngest background jobs. It extracts themes, patterns, cohort segments, content gaps (concepts learners consistently misunderstand), and correlations, and persists the analysis for every new response without L&D teams manually coding open-text.
Yes. Revuloop's smart-survey engine (powered by a Root Cause Analyzer that applies the 5-Whys technique) asks contextual follow-ups based on each learner's previous answer. A learner who rates their confidence a 2 gets asked 'which part felt unclear?', then 'would a worked example have helped?', not a generic open-text box.
Yes. Revuloop ingests generic partner events (checkpoint.completed, user.activated, user.suspended, resource.event_ended) via POST /api/v1/partner/events/inbound. Any system event your platform emits (module completion, manager check-in, work-product submission, milestone hit) can map to a Revuloop survey.
Most LMS platforms ship a 5-star course rating and call it feedback. Revuloop is purpose-built for training effectiveness: adaptive AI follow-ups surface the exact concept learners missed, the 4-phase analytics pipeline auto-tags content gaps across cohorts, and integrations push signal to your BI or data warehouse: capabilities most LMS-native feedback tools don't ship.
Yes. The Revuloop Partner Program gives LMS platforms one-click customer-organization provisioning, custom subdomains, full partner branding (logos, colors, hideRevuloopBranding flag), and four flexible billing models. LMS customers get a native-feeling feedback layer without the LMS vendor building an evaluation engine from scratch.
Revuloop fires webhooks on response events (RESPONSE_SUBMITTED, SMART_ANALYTICS_GENERATED) and ships integration providers for data warehouses and BI exports. L&D teams can route feedback signal into the same BI stack where they track business KPIs, so training impact is measurable alongside other investments.
Yes. Any metadata you attach to a partner event (cohort ID, instructor ID, content version, learner role, tenure) is passed as context into the survey session and becomes available for automatic segmentation in Revuloop's analytics pipeline. You can drill into 'which respondents belong to this segment' and see the actual responses that produced each theme.
Yes. Revuloop ships GDPR infrastructure: explicit processing-restriction enforcement (Article 18) checked inside the AI analytics pipeline, data export tooling, and data-retention cleanup jobs. L&D teams running training programs across the EU inherit these controls by default.
Book a 30-minute demo tailored to your LMS or training program, or start free and fire your first checkpoint-triggered survey today.