zenAI for Web

Transforming user research with zenAI

zenAI is a smart interviewing platform built to modernize how companies gather customer feedback. It reduces the need for manual coordination, speeds up research cycles, and helps teams focus on interpreting results rather than running logistics.

Main advantages

• Run hundreds of interview sessions in parallel, accelerating validation and iteration.
• Use adaptive question flows and instant feedback to raise the quality of each conversation.
• Produce in-depth deliverables that reveal user personas, priorities, and daily workflows.
• Apply AI moderation to condense, analyze, and surface the most relevant findings automatically.
• Cut down repetitive administrative work by automating scheduling, interviewing, and basic follow-ups.
• Choose from several subscription models to match team size and research needs.

How zenAI works

zenAI orchestrates the entire interview lifecycle. After you define goals and target participant profiles, the platform recruits or accepts your participants, executes interviews (one-to-one or at scale), and captures responses. Built-in adaptive logic changes follow-up questions based on real-time answers, while the AI moderation engine highlights trends and flags notable quotes for your team to review.

Reports and actionable outputs

• User personas that summarize motivations, behaviors, and typical workflows.
• Prioritized pain points and unmet needs to guide product decisions.
• Scenario-based summaries that show how users approach common tasks.
• Executive summaries and raw transcripts so both strategists and practitioners can dig into the data.

Pricing and plans

zenAI offers tiered subscriptions to accommodate solo researchers, growing startups, and enterprise teams. Plans vary by interview volume, analysis depth, and support level. Contact sales or check the product page for current tiers, overage policies, and enterprise customization options.

Why teams choose zenAI

Organizations adopt zenAI to speed up discovery, reduce research costs, and make decisions backed by a larger sample of user input. By automating operational tasks and delivering structured insights, the platform helps teams close the loop faster between user feedback and product improvements.