Userlytics’ one-click Quant Reporting
Covered by Signal Brief for B2B SaaS product managers — one of 5 tools in Issue #10 · einpresswire.com
What it does
Userlytics announced Thursday Quant Reporting, the newest release in a wave of AI features for its UX research platform. From a completed study’s Metrics tab, one click compiles the entire study into a polished, shareable report — every rendered chart paired with an AI-generated summary of what the data means — built asynchronously, so researchers keep working while it generates and get notified in the study timeline when it is ready. Quant Reporting rides on two releases beside it: Study Pulse, a live workspace that gives every study a real-time status header across setup, recruitment, and analysis plus an event timeline that logs each milestone and suggests the next step, unlocking AI insights once roughly 35 percent of target participants have completed instead of waiting for the full sample; and on-demand AI Chart Summaries that interpret SUS, NPS, and write-in responses with logic tailored to each activity type. Session transcripts can now be translated in-platform across 15 languages, synced to the video player and fully editable. CEO Alejandro Rivas-Micoud: as AI compresses build cycles, user testing becomes essential, with the researcher, PM, or designer “always at the helm.”
Why it matters for PMs
As AI compresses how fast teams build, research that moves slower than the release cycle becomes the bottleneck, and this release aims squarely at research tempo. The artifact matters: a chart-plus-interpretation report is what stakeholders actually read, and one-click executive-ready synthesis removes the manual write-up that delays most readouts — while CSV export stays for analysts, the right pairing of AI summary for alignment and raw data for trust. Two smaller ideas worth stealing: unlocking directional analysis at roughly 35 percent completion (decide explicitly when an early read is good enough for the decision at hand), and in-platform transcript translation, so global teams can run a study in one language and analyze it in another. If research at your company is a queue people wait on, this is the template for turning it into a continuous signal your roadmap can actually steer by.
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