Elvan

What is Elvan?

Elvan is an AI-powered NPS and CSAT survey platform that helps teams collect customer feedback and turn responses into insights. The platform lets you launch surveys like NPS and CSAT quickly, then uses AI to analyze responses and surface sentiment and key themes.

Its core purpose is to reduce manual effort in reading and interpreting open-ended feedback by providing leadership-ready summaries and highlighting early warning signs based on incoming responses.

Key Features

• AI analysis of survey responses: Automatically uncovers sentiment and key themes so you can understand what customers mean without manually reviewing every response.
• NPS and CSAT built-in: Supports standard NPS and CSAT surveys while also allowing fully custom surveys within the same platform.
• Smart survey builder with customization: Lets you modify questions and adjust branding/design so surveys match your voice and style.
• Multi-channel distribution: Collect responses via email, web links, or an embedded widget; a lightweight JavaScript SDK is also mentioned for collecting feedback across channels.
• Instant insights in dashboards: Provides insights as responses come in, with initial patterns emerging within hours and deeper AI summaries after enough responses are collected.

How to Use Elvan

1. Sign up and start a new survey using Elvan’s survey builder.
2. Choose or build your questionnaire (NPS, CSAT, or a fully custom survey), then apply branding and design settings.
3. Distribute the survey using email, a web link, or an embedded widget (and optionally via the JavaScript SDK for broader channel coverage).
4. Review insights in Elvan’s dashboards as responses arrive; use the AI summaries to identify themes and sentiment shifts.

Use Cases

• Launching an NPS program for product teams: Send an NPS survey to customers and use AI-generated sentiment and theme insights to interpret the drivers behind scores.
• Running a CSAT survey for support quality: Collect CSAT after customer interactions (via email, link, or widget) and monitor early warning signs as patterns emerge.
• Analyzing open-ended feedback without manual review: Use the AI summaries to extract themes behind responses instead of reading large volumes of comments in spreadsheets or documents.
• Gathering feedback across multiple touchpoints: Use the multi-channel setup (email, web link, widget, and JavaScript SDK) to collect responses from different customer channels in one place.
• Creating custom surveys beyond NPS/CSAT: Build questionnaires tailored to specific goals (e.g., feature feedback or onboarding impressions) and analyze results using the same AI processing.

FAQ

• What output does Elvan provide after responses are collected? Elvan processes responses with AI and surfaces what matters through sentiment and theme insights, including leadership-ready summaries.

• How quickly will insights appear? Initial patterns are described as emerging within hours, and deeper AI summaries are available once you’ve collected 100+ responses.

• Can I customize the look and questions in the survey? Yes. The survey builder supports customizing questions and branding/design so the NPS questionnaire matches your style.

• How accurate is the AI analysis? The site states the AI analyzes sentiment and themes with 95%+ accuracy and continually learns from new feedback to improve over time.

• How can I distribute surveys to collect responses? The platform supports email, web links, embedded widgets, and a lightweight JavaScript SDK for collecting responses across channels.

Alternatives

• Traditional NPS/CSAT survey tools without AI theme extraction: These can collect scores and basic results but typically require more manual review of qualitative feedback.
• Generic survey platforms (questionnaires + basic reporting): Useful for custom surveys and distribution, but they may not provide AI-generated sentiment and theme summaries tailored to NPS/CSAT workflows.
• Customer feedback management platforms: Often combine feedback collection with categorization and analytics; depending on the tool, AI insights may be less focused on NPS/CSAT-specific outputs.
• Product analytics or VOC (voice-of-customer) systems: Can connect customer sentiment to product behavior, but may require more setup or integration work compared with a dedicated NPS/CSAT survey flow.