Let's explore how companies like Butternut Box, Katkin, Matsmart and StreamElements are usingAI-powered research to scale their user research, get insights faster and build better products.
1. Gather insights 16x faster At the core of Wondering’s value is the speed at which it helps teams gather actionable insights. The traditional process of user research—recruiting participants, scheduling interviews, analyzing responses—can take weeks. With Wondering’s AI-moderated research, that process is compressed to just a few days or even hours.
For example:
Butternut Box reports a 42x reduction in time-to-insight Katkin saw a 4x faster time-to-insight Across the board, Wondering’s AI-powered research has delivered a 16x decrease in time-to-insight By cutting down on the time it takes to gather and analyze insights, Wondering enables teams to stay ahead of the competition and continuously iterate on their products.
2. Improving product metrics like conversion and reducing churn The insights gathered on Wondering don’t just save time—they drive real product improvements. Wondering’s customers use the data they collect to refine their user experiences, leading to improved KPIs like higher conversion rates, reduced churn, and fewer customer support tickets.
Here are some examples:
StreamElements improved their product conversion rates by 20% 50% after using Wondering to gather targeted insights from their users. By testing product features and identifying friction points, they’ve been able to directly improve the user experience.Gousto reduced their lead-time for gathering feedback from 14 days to just 5 minutes These results highlight how AI-moderated research can directly impact key business metrics, driving growth and improving user satisfaction.
3. Saving time for teams running user research projects Traditional user research methods often require large amounts of manual work—from participant recruitment to running interviews and analyzing data. With Wondering, much of this work is automated, freeing up valuable time for teams to focus on strategic decision-making.
Matsmart StreamElements saw a 50% increase in the number of research studies they could run, without adding extra resources. By automating much of the research process, they’ve been able to gather insights faster and more efficiently.This time-saving element of Wondering not only speeds up decision-making but also allows companies to do more with their existing teams, reducing the need for additional resources.
4. Democratizing access to insights and scaling research One of the key benefits of AI-moderated research is how it democratizes access to insights. Teams across an organization can quickly gather user feedback, without needing to rely on a central research team. This helps companies scale their research practices and make more informed decisions at every level.
For example:
Matsmart scaled their research efforts across Europe by using Wondering’s AI-powered study moderation and translation capabilities. Before adopting Wondering, they were limited to conducting interviews in just two languages (English and German). Now, they can run studies in 50+ languages , allowing them to gather insights from customers in countries they couldn’t previously reach.StreamElements grew their research output by 50% , running more studies and gathering feedback faster than ever before. With Wondering, research isn’t limited to a small group of experts—any team member can launch a study and access the insights they need.By making research more accessible and scalable, Wondering empowers teams to act on insights faster and with more confidence, leading to better product decisions.
How are other companies using AI-moderated research to scale customer insight?
Matsmart scale research across markets with AI-translated research studies
Katkin reduce time-to-insight by 4x
StreamElements increase product conversions and reduce customer churn
Butternut Box shorten time-to-insight from 14 days to 8 hours
The results speak for themselves: companies using Wondering are able to gather insights faster, improve product metrics, and scale their research practices more effectively. By leveraging AI to streamline the user research process, Wondering customers are achieving real ROI—saving time, improving product performance, and growing their revenue.
If you’re ready to see these benefits for yourself, try AI-moderated user research with Wondering today and unlock the full potential of your product.
