Jevy brings your business closer to your customers.

Jevy continuously learns what customers need, why their experiences succeed or fail, and what your teams and AI agents should do differently.

TRY THE DEMO

What Jevy does differently

Your customers have more to say than a static survey can capture.

Get deeper customer feedback

Jevy replaces static surveys with contextual conversations that adapt to each customer and ask intelligent follow-up questions. More feedback, richer answers, a clearer picture of what customers actually experienced.

Answer the questions your business cares about

Tell Jevy what you want to understand, validate, or improve. Jevy weaves those learning goals into the customer conversations already happening — no new research project every time.

Turn customer learning into action

Jevy automatically shares what it learns across the business and directly with your AI agents, so every team and system improves based on what customers actually need.

The survey experience

Try a live Jevy survey, see how it adapts to what you say.

Try a sample Jevy-powered survey below. See how different answers trigger different follow-up questions.

What you're seeing

Tamara bought a 5GB J Mobile bundle. We're asking how it's working out.

A personalized question tied to CSAT

We start each survey with a personalized question based on the customer's past experience.

Follow-up based on their CSAT score

Our follow-up questions uncover the why behind their initial score.

Voice and quick replies increase response rates

Customers can record a voice note or tap quick replies to answer.

Insights

Uncover what's driving poor customer experience and fix it.

We turn feedback into themes and opportunities. Ask Jevy a question, and we'll either surface the answer or draft a follow-up survey to find an answer.

Customer insights

Ask Jevy

Type a question, or tap a chip.

How Jevy works

Send customer learnings back into your AI agent.

Decide what learnings you want to send to your AI agent and easily ship them through MCP.

Learning extend-near-limit

First-time cap-out: extend 30%

Ran out too fast Backend: within 10% of the limit. First time they asked.

whencustomer says the data ran out too fast for the first time, and remaining usage is within 10% of the cap

dogrant a free 30% extension on this package in the conversation. Keep them happy. Do not send them to buy another pack.

Learning right-fit-plan

Before the sale: recommend the right-fit pack

Ran out too fast Last 6 months: ~2GB/month. They are buying a 1GB add-on.

whencustomer is purchasing a pack and six-month usage does not match the add-on they are about to buy

doread usage history first. Ask a few qualifying questions so they pick the right upgrade pack.

Backpack

Empty. Select learnings, then add them.

MCP · connected

Waiting to ship. Select learnings, add them to the backpack, then push them to a connected agent.

Shipped

Ships into