Stop spending $5,000-$15,000 per research round on manual user interviews—Juno automates the discovery process while capturing deeper, more honest customer insights.
Juno is an AI-led interview platform that conducts one-on-one user research conversations at scale, automatically transcribing, analyzing, and synthesizing findings into actionable insights. Instead of scheduling calls, writing discussion guides, and manually coding responses, you set up your research goals and Juno's AI conducts natural, adaptive interviews with real customers. The platform records everything, identifies patterns across dozens of conversations, and delivers insights ready for product decisions—cutting your research timeline from weeks to days.
For small product teams, agencies, and SaaS companies, this means you can validate features, understand customer pain points, and make data-driven product decisions without hiring a research consultant or burning internal hours on scheduling and note-taking. You get the rigor of professional user research at a fraction of the time and cost.
SaaS and software companies running product validation cycles, digital agencies conducting client research, e-commerce businesses testing new features or messaging, UX design studios managing multiple research projects, and any small business needing regular customer insights without a dedicated research budget. Works especially well for companies doing quarterly product planning or rolling out features that need customer validation.
Freemium model with free tier offering limited interviews; paid plans start around $200-$500/month depending on interview volume and features needed.
Most small teams spend 40-80 hours per research cycle on recruiting, scheduling, interviewing, and analysis—time your product manager or designer can't spend building. Juno cuts that to under 10 hours. At a fully-loaded cost of $75/hour, that's $2,250-$5,250 saved per cycle. Beyond time savings, faster research cycles mean product decisions get made weeks earlier, compressing your time-to-market and reducing the risk of building features nobody wants. Teams report conducting 3-4x more research projects annually because the friction is gone—turning customer insights from a quarterly event into a continuous feedback loop.