What is Whyser?
Getting deep, meaningful feedback from your users is crucial, but traditional interview methods can be slow, costly, and difficult to scale. You need rich qualitative insights to build better products and experiences, but finding the time and resources for extensive one-on-one interviews often feels impossible.
Whyser bridges this gap. We provide an AI-powered qualitative insights platform designed to streamline your customer research. Featuring Pia, your dedicated AI agent, Whyser conducts engaging, in-depth user interviews on your behalf, allowing you to uncover valuable insights quickly and efficiently. Now, research that might have been shelved due to resource constraints can happen, empowering you to make user-centered decisions with confidence.
Key Features You'll Use
🎙️ Conduct AI-Moderated Interviews: Let Pia engage participants in natural, voice-based conversations. Pia dynamically adapts questions based on responses, probing deeper to uncover the motivations and nuances behind user feedback – insights often missed by static surveys.
⏱️ Set Up Studies in Minutes: Launch tailored research studies rapidly using our assisted setup. It guides you through best practices while offering full customization to meet your specific research goals.
🔎 Access an Insight Knowledge Vault: Forget sifting through hours of transcripts. Query your cumulative research findings using simple questions and get instant answers, always backed by direct participant quotes for verification and context.
📈 Achieve Qualitative Depth at Scale: Combine the rich, nuanced understanding gained from in-depth interviews with the broad reach typically associated with quantitative methods. Gather insights from dozens or hundreds of users concurrently.
🌐 Recruit or Bring Your Audience: Easily invite participants by sharing unique links, embedding invites directly in your product, or tapping into our partner networks to reach specific demographic profiles.
How Whyser Works in Practice
Validating a New Feature Concept (Product Managers): Before committing development time to a new feature idea, you need to gauge real user interest. With Whyser, you can quickly deploy a study targeting relevant users. Pia interviews them asynchronously, exploring their needs and reactions to the concept. Within days, you receive synthesized insights and direct quotes, giving you the data to confidently proceed, refine, or pivot your plans – potentially saving weeks of development effort.
Scaling Discovery Research (User Researchers): Your team needs to understand user frustrations within a specific product journey, but manually interviewing 50 users is impractical. Using Whyser, you define the research scope and audience. Pia handles the interviews simultaneously, adapting conversations to each individual. You get continuous analysis updates and can query the Knowledge Vault for emerging themes, enabling large-scale discovery without overwhelming your team.
Testing Campaign Messaging (Marketers): You've crafted several compelling messages for an upcoming campaign but need to know which resonates most effectively. Whyser allows you to quickly gather feedback from your target audience. Pia presents the messaging concepts and delves into the why behind participant preferences through conversational interviews. You receive nuanced feedback and actionable insights swiftly, helping you optimize your campaign for maximum impact before launch.
Make Smarter Decisions, Faster
Whyser empowers your team to integrate deep user understanding into your daily workflow. By automating the time-consuming aspects of interviewing and analysis, you gain speed, scale, and accessibility to crucial qualitative insights. Move faster, build with greater confidence, and ensure your efforts consistently align with what your users truly want and need.
More information on Whyser
Launched
2024-04
Pricing Model
Free Trial
Starting Price
Global Rank
Follow
Month Visit
<5k
Tech used
Google Analytics,Google Tag Manager,Webflow,Amazon AWS CloudFront,Cloudflare CDN,Google Fonts,jQuery,Gzip,HTTP/3,OpenGraph,HSTS
Whyser was manually vetted by our editorial team and was first featured on 2025-04-15.
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