Strella Insights

Most research tools sell you a faster survey. Strella sells you more conversations, which is a different promise and a harder one to fake. The AI moderator listens for hedges like "it's not perfect, but it works" and follows up on them — that's the behavior that used to require a trained human interviewer in every session, and at 100 interviews it simply wasn't affordable. We'd reach for this when a product team needs directional signal before a launch decision and can't wait three weeks for a research firm. Concept testing, prototype usability, and message testing all fit the mold: you define the objective, review the generated guide, apply recruitment filters, and read synthesized themes the next morning. The Aug 28, 2026 card sort similarity matrix and the Aug 21 automatic response coding matter more than they sound. Coding used to be the tedious middle of qualitative work, and removing it is what makes 100 interviews actually readable instead of a pile of transcripts. Report downloads in Word are a quiet but real unlock for teams whose stakeholders live in documents, not dashboards. Where it bites: this is qualitative depth, not statistical rigor. If your study needs quota control, skip logic, weighting, or significance testing, Strella is the wrong instrument and Qualtrics or a quant survey platform is the right one. Teams that insist every session be human-moderated should also pass — Strella will do it, but you're paying for automation you're not using. The closest alternative depends on your bottleneck. UserTesting gives you a self-serve seat you can expense this afternoon; Strella gives you more interviews and AI synthesis, delivered through a sales conversation. That tradeoff is the whole decision. Practically, run one small study first. Ship a