AI-UX Assistant

Open your dashboard, connect your site, and let the assistant map real visitor behavior in minutes. AI-UX Assistant by Plerdy pulls clicks, scrolls, taps, and session replays into one view. Set goals (signup, checkout, lead submit), choose key pages, and watch heatmaps reveal dead zones, rage clicks, and missed CTAs. Configure sampling rates, exclude internal traffic, and tag issues as you watch recordings. Attach timestamps, add notes, and export clips for your team. In the same workflow, generate a focused UX brief: who struggled, where it happened, why it likely occurred—plus quick impact estimates from observed drop-offs.

Use it to run fast optimization sprints. Start with a hypothesis (e.g., “shorter form increases trial starts”), then let the tool surface friction points from journeys and usability tests. Score ideas with ICE or RICE, and let observed drop-off data inform the impact score automatically. Draft a variant in the built-in prototyping canvas, add micro-animations for state changes, and push it to unmoderated testers. The assistant aggregates task success, time on task, and qualitative notes, then recommends the simplest fix first. Move the winner to production and track uplift against baseline automatically—no manual spreadsheets, just clear deltas.

For content teams, iterate headlines, hero copy, and CTA labels without guessing. Compare scroll depth and click clusters before and after edits, and flag wording that sparks confusion in recordings. For product managers, audit the entire path from acquisition to activation: identify where users abandon, match issues to device type, and prioritize mobile fixes when taps miss targets. Developers get precise reproduction steps from screen activity recordings, including environment details, so bugs move from vague reports to clear tickets. Export annotated clips and notes to your docs or issue tracker to finalize acceptance criteria.

When feedback piles up, triage by business impact. The assistant highlights patterns (e.g., “coupon field causes backtracking on mobile”) and builds a prioritized queue. Share live reports with stakeholders, subscribe to alerts for spikes in abandonment, and schedule weekly progress digests. Over time, compare cohorts, measure the cost of friction removed, and keep a clean history of what changed and why. With a simple loop—observe, prototype, test, ship, measure—you turn scattered feedback into steady conversion gains and happier users across web and mobile.