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Leveraging Perceptional for user research proved invaluable for quickly validating a new business idea and conducting thorough market research. This approach avoided the delays typically associated with traditional user interviews and offers 4x more depth than online surveys. This case exemplifies how startups can utilize AI tools to accelerate the validation phase and make informed decisions early in the product development cycle.

In this post, we explore effective techniques for identifying and engaging the right participants for your user research, an essential step that will help you build products people love. We'll cover practical tools and platforms that streamline the process, from utilizing LinkedIn & Apollo for precise targeting to combining human-moderated and AI-moderated interviews in your outreach. Whether you're new to user research or a seasoned pro, this guide provides some valuable insights and strategies to get you going.

Susgrainable, a CPG brand specializing in healthy baking mixes, wanted to delve into consumer purchasing habits for a new snack product they are planning to launch. They integrated Perceptional into their research, using AI-moderated interviews that provided 4x more depth. This approach provided actionable insights within 48 hours, saving weeks of work. The qualitative data collected through Perceptional was instrumental in guiding Susgrainable's branding, packaging, and pricing decisions. They validated their findings through supplementary research methods including surveys and secondary research.

ScheduLink saved over 40 hours and several weeks of work by leveraging AI-moderated user interviews through Perceptional. By quickly gathering detailed insights from high-volume photography studios like Artona, ScheduLink was able to make fast, informed product decisions. Learn more about how Perceptional streamlines qualitative data collection and accelerates product research.

For the past few months, I’ve been telling our customers that “Perceptional outperforms traditional online surveys for qualitative feedback” - mostly based on early feedback and anecdotal experience. With this blog post, I wanted you to join me on that journey to validate (or invalidate) that statement!

Artificial Intelligence is becoming increasingly vital in product management, transforming how product teams approach market analysis, decision-making, and user interaction. As AI technology advances, it's expected to integrate seamlessly into daily tasks, helping teams with both long-term strategy and daily tactical execution.

Are you looking for a more efficient and scalable way to collect qualitative data from users? In this article, we'll explore the basics of AI-moderated user interviews and how they compare to traditional surveys and user interviews. We'll also take a look at the future of AI in user research and provide predictions on how AI-moderated user interviews are likely to evolve in the years to come.