Launching today
Elvan
Turn customer feedback into decisions with AI
177 followers
Turn customer feedback into decisions with AI
177 followers
Next-generation, AI-native feedback platform to collect NPS, CSAT, and CES across product, email, embed, and tools like Zendesk and Salesforce. Trigger surveys at the right moment across every touchpoint, then analyze every response with AI to uncover sentiment, themes, and churn signals. Responses stream to Slack in real time so teams can act instantly. No complex builders. No manual tagging. Just clear signals that help you build better products.
Elvan
Hey Product Hunt 👋
I’m Ravi, co-founder of Elvan.
We built Elvan on @Vercel with a simple goal. Make customer feedback as actionable as product analytics.
🧩 What is Elvan?
Elvan is a next-generation, AI-native feedback platform that helps you collect and understand customer feedback across every touchpoint.
You can collect feedback via:
In-product (Web SDK)
Email
Embedded forms
Shareable links
Shopify, Intercom, Salesforce, and your website
It is built for true omnichannel feedback collection, not just one channel.
🚨 The Problem
Most teams already collect NPS or CSAT.
But:
Feedback is collected too late
Signals are spread across tools
Responses sit in CSV exports
Teams read comments manually
Churn signals are missed
Feedback gets collected, but it does not drive decisions.
💡 The Solution
Elvan turns feedback into a real-time signal layer.
Capture feedback at the right moment based on real user events
Collect across channels like product, email, and your existing tools
Automatically analyze responses with AI
Route insights to where your team already works
You go from raw responses to clear, structured insight your team can act on immediately..
⚡ Why Elvan is Different
We did not start with surveys and add AI later.
We built Elvan from scratch to focus on one thing. Turning feedback into action.
No complex builders
No manual tagging
No enterprise bloat
🧠 Features & Benefits
Elvan automatically:
Detects sentiment
Clusters recurring themes
Surfaces early churn signals
Identifies feature requests
Generates summaries you can share with leadership
Feedback collection can be triggered directly from tools like Zendesk and Salesforce when key events happen, such as ticket resolution or deal closure.
Responses stream into Slack in real time, so your team sees customer feedback as it happens and can act immediately.
Instead of reading 200 responses, you get a few clear actions to focus on.
👥 Who is this for?
SaaS founders and product teams
Customer Success and CX leaders
Product-led growth teams
Indie hackers
Especially teams that already collect feedback but struggle to act on it.
🔧 Use Cases
NPS after onboarding
CSAT after support interactions
In-product feedback after feature usage
PMF surveys
Post-purchase feedback for eCommerce
🎁 Launch Offer
We are offering 40% off for the first 12 months
Use code: PRODUCTHUNT
Early users will also get direct access to me for feedback and roadmap input.
Earth.fm
Elvan
@1mirul You nailed it, timing is everything with feedback, and most tools get it wrong.
Elvan uses both: you can trigger surveys based on specific user actions (like completing a key workflow or hitting a milestone) or set time-based rules if you prefer.
The goal is to catch users at the moment when their experience is freshest.
Happy to walk you through the setup if you'd like!
Wion - Audio Dating
Elvan
@tanjum That's exactly the pain we built Elvan to solve - feedback scattered across support threads, emails, and random docs is nearly impossible to act on.
And yes, Elvan works great even with a few dozen active users!
The analysis would actually be more focused at smaller scale since patterns emerge cleanly from a tight user group.
Give it a try and let us know what you think! 🙌
Does Elvan differentiate between heavy users and people who just signed up?
Elvan
@jared_salois Great question! Not natively just yet.
Right now you can trigger surveys based on user actions and timing, but built-in segmentation between new signups and power users is on our roadmap. That said, if you pass in custom user properties, you can work around it today. Would love to hear your use case — it'd help us prioritize this feature!