Product & UX

Measures how easily shoppers find products, move through checkout, and trust your site with their payment details — with an AI follow-up that reconstructs the exact moment shoppers got stuck or almost abandoned their cart, rather than just a satisfaction score.

Captures a complete brief for an internal or client graphic design request — project type, goal, audience, brand constraints, and priority trade-offs — so designers stop guessing what 'good' looks like. An AI follow-up interview digs into the real goal behind the ask and surfaces conflicting stakeholder expectations before work begins.

Evaluates how people actually use an interior design planning tool or app — from room visualization to furniture shopping — and where they get stuck. Closed questions surface satisfaction and feature priorities; an AI follow-up interview digs into the specific moment the experience broke down, giving product teams a concrete story instead of a vague complaint.

Captures how people actually use your product or service, which features matter most, and where the experience breaks down — with an AI follow-up that digs into the specific moment a respondent got stuck or frustrated. Built for product, UX, and service design teams shaping a roadmap.

Measures how easily shoppers scan, pay, and recover from errors at self-service checkout kiosks, and prioritizes which fixes matter most. An AI follow-up interview reconstructs exactly what happened during a recent frustrating attempt instead of relying on vague complaints. Built for retail UX and store operations teams.

A short on-site intercept that profiles who is visiting your website, why they came, and whether they accomplished their goal — paired with an AI follow-up that reconstructs the actual task a visitor was trying to complete and where it broke down. Built for product and UX teams who need more than traffic analytics to understand visitor intent.

Measures whether visitors can find, understand, and trust the content on your website — covering findability, accuracy, completeness, and currency — for product, content, and UX teams auditing site content. An AI follow-up interview reconstructs what actually happened when a respondent hit a dead end, instead of relying on vague satisfaction ratings.

Measures how easily visitors find music, artists, tickets, or content on your website, where they hit friction, and what improvements matter most. Built for music platforms, label sites, and artist hubs, with an AI follow-up interview that reconstructs exactly where a visit broke down instead of relying on vague satisfaction scores.

Measures how satisfied shoppers are with a retailer's website — from site speed and navigation to checkout and security trust — and where friction costs sales. Built for e-commerce and CX teams benchmarking site performance, with an AI follow-up that digs into the specific moment a shopper's last visit went right or wrong.

Captures what visitors came to your site to do, whether they succeeded, and where they got stuck — with an AI follow-up that reconstructs the actual browsing journey behind any failed or frustrating visit. Built for product, UX, and marketing teams who want more than a bounce-rate number.

Measures how well a makeup product performs in real routines — application, wear time, and repurchase intent — plus what actually drives the buy decision. An AI follow-up interview digs into the specific moment a product over- or under-delivered, surfacing details closed questions miss.

A team health survey for product, design, and engineering members that measures process clarity, cross-functional collaboration, time allocation, and the biggest blockers to shipping — with an AI follow-up that digs into a real recent example behind the top-ranked blocker instead of settling for a vague complaint.

Captures a specific feature request in the requester's own words, gauges how urgent and impactful it would be, and benchmarks it against other candidate ideas using a best-worst trade-off exercise. Built for product teams triaging inbound requests, with an AI follow-up that reconstructs the exact workflow the feature would unblock and what the person does today without it.

Captures how easily visitors find, use, and hear back from your website's contact channels — form, email, chat, or phone — with an AI follow-up that digs into the specific moment things got confusing or slow.

Measures how easily visitors navigate your site, how the visual design lands, and which design elements most need work — with an AI follow-up that reconstructs the exact moment a visitor got confused or stuck instead of just a satisfaction score. Built for product, UX, and marketing teams evaluating a live site or redesign.

A short on-site pop-up survey that captures why a visitor came, whether they accomplished their task, and where they hit friction — with an AI follow-up that reconstructs the exact moment things went wrong instead of relying on a vague satisfaction score. Built for UX and product teams running always-on site feedback.

Measures how easily visitors accomplish what they came to do on your website, how the site rates on speed, navigation, design, and trust, and how likely they are to recommend it — with an AI follow-up that digs into the exact moment things got confusing or broke down. Built for product, UX, and marketing teams running periodic site health checks.

Measures how satisfied users are with your app, where they hit friction, and which improvements matter most — for product and mobile teams tracking release health. An AI follow-up interview digs into the story behind each user's satisfaction score, surfacing the specific moment or feature that shaped it.

Captures how satisfied customers are with a product, which attributes matter most, and where the experience falls short — for teams tracking product quality, value, and repurchase intent. An AI follow-up interview digs into the real story behind each score instead of a generic star rating.

Identifies what actually pushes users toward 5-star versus 1-star app store reviews — crashes, speed, ads, pricing, support — and what specifically would change their rating. Built for product and growth teams; the AI follow-up reconstructs the real incident behind each respondent's rating instead of generic complaints.