For a vast majority of the product and user research teams we’ve spoken with, time is the limiting factor that stops them from speaking to their users. Speaking to your users takes too long.
Over the past few years, we’ve spoken to hundreds of user research and product teams at companies ranging from small startups to established enterprises. Through these conversations, it’s become clear that several challenges prevent modern product teams from making user-centered decisions and building product experiences their customers love.
That’s why today, we’re announcing a new AI-powered user insights platform and changing our name from Ribbon to Wondering. We believe AI-assisted user research and discovery can transform how product and go-to-market teams make decisions, empowering them with actionable insights at a speed and scale previously unimaginable.
Keep reading to learn more about our new offering, and how you can join our Beta program.
Our new AI Interviewer complements methods like user interviews, usability tests, and surveys and makes it easier for product, research, and marketing teams to ensure continuous discovery to build better products and more effective go-to-market strategies.
AI-assisted research is a completely new way of thinking about user research, so let’s go through how Wondering can help you get actionable user insights faster than before.
Wondering’s AI-assisted study builder guides you in building a new study in minutes. As you design your study, Wondering detects and rectifies errors and biases in your questions, ensuring you generate the most effective study you can to glean the insights you seek.
After crafting your research questions, Wondering dynamically creates a research study that asks relevant follow-up questions to your participants until you’ve uncovered the data you’re after. Just like user researchers do during normal user interviews. Wondering’s GPT-powered, purpose-built AI models have been trained on a large sample of user research data to make sure it follows best practices and can deal with the wide range of scenarios that can come up during conversations with customers and participants.
AI-assisted studies allow collection of responses as voice recordings, open-text, ratings, and multiple-choice queries. You can even combine them with interactive prototype tests using popular prototyping tools like Figma, InVision, Adobe XD, or live-website tests from other platforms
To help you answer even more of your research questions, we’ve also launched our own research panel of over 120K global participants, powered by Prolific. When you launch a research study in Wondering, you can quickly recruit participants from our panel, filtering participants based on criteria such as location, interests, and experiences.
You can also still recruit research participants directly from your websites using our WebSDK, enabling you to gain contextual insights to optimize conversion rates, reduce customer churn, and enhance your product's overall usability.
Each response you collect in Wondering is analyzed in real-time, helping you decide what you should do next by pulling out key themes, summaries, and quotes from your studies. As you collect more research data, Wondering continuously updates your insights and recommendations, allowing you to stay in sync with what your customers need.
With the help of AI-powered research tools like Wondering, resource constrained teams can gather actionable user insights faster, without compromising on research quality. Want to start running AI-assisted research studies to help you build products your customers love? Join our Beta program and we’ll reach out to get you onboarded as we gradually roll out Wondering.
Founder & CEO of Wondering