Product & UX

Measures how users locate, recognize, and evaluate in-product features. Designed for product and UX research teams to diagnose navigation friction, benchmark discoverability, and prioritize information-architecture improvements.

Measures online shoppers' goal completion, friction points, competitive behavior, and retention drivers to prioritize high-impact UX and service improvements.

Evaluates digital accessibility barriers, assistive technology usage patterns, and task completion experiences to identify WCAG compliance gaps and prioritize UX improvements for users with diverse access needs.

Find your biggest opportunities by measuring the same attributes twice — how much each matters, and how well you deliver it today. The gaps become your priority list, and slider matrices keep it fast enough that people actually finish. AI follow-ups dig into the biggest gap each respondent reports.

Measures the ease, clarity, and outcomes of consent revocation across web, email, SMS, app, and support channels to identify friction points and inform GDPR/CCPA compliance improvements.

Measures stakeholder perceptions of canary and staged rollout communication clarity, channel effectiveness, and confidence. Designed for DevOps, product, and engineering teams seeking to reduce release risk through better communication.

Collects stakeholder rankings of proposed product features across three dimensions—impact, urgency, and adoption speed—to provide data-driven input for roadmap prioritization decisions.

A structured post-session debrief for prototype usability tests, measuring task completion, perceived difficulty, friction points, and improvement priorities to inform iterative design decisions.

Assesses User Acceptance Testing plan quality, feedback loop efficiency, and release confidence from the perspective of UAT participants. Designed for QA, product, and engineering teams seeking to diagnose process gaps and prioritize improvements.

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.

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.

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.

Evaluates the discoverability, relevance, clarity, and control of search-filter experiences from the end-user perspective. Ideal for UX researchers and product teams seeking actionable feedback on faceted navigation.

Measures developer satisfaction with API endpoint clarity, error diagnostics, and authentication workflows to identify friction points and inform API roadmap priorities.

Evaluates user comprehension, actionability, and satisfaction with error messages and troubleshooting flows. Designed for product and UX teams seeking to improve in-app error guidance based on recent user incidents within 30 days.

A recurring pulse survey for collecting structured user feedback on app or website speed, uptime, and error frequency over a 7-day window. Designed for product and engineering teams seeking to prioritize performance improvements and track reliability trends.

Measures behavioral patterns, value perceptions, and retention intent among high-frequency e-commerce shoppers to identify churn risk factors and inform loyalty strategy.

Measures user experience across mobile, tablet, and desktop devices, focusing on gesture usability, layout navigation, readability, accessibility feature usage, and cross-device consistency. Designed for UX research teams evaluating responsive design quality.

Validates category labels and information architecture by measuring label clarity, task-based findability, perceived overlap, and usage priorities. Designed for UX and product teams evaluating taxonomy structures.

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.