Between recruiting the right participants, conducting interviews and usability tests and synthesizing mountains of data, completing a user research study can take weeks to complete.
We built Wondering to help test your assumptions and make informed and research-backed decisions within a few hours with the help of AI-moderated studies and AI-powered analysis.
Let’s break down five key reasons why Wondering is your ideal user research platform.
1. You want to do product discovery continuously You need to collect user insights to validate every product decision. However, setting up research studies takes time, recruiting the right participants is hit-or-miss, and analyzing responses can be time-consuming.
Put simply, lengthy research studies can make it difficult to keep pace with development cycles and may leave your team stretched too thin.
The result? Delayed decisions on one end and missed opportunities on the other.
But you don’t have to trade off meaningful user research to meet product development timelines.
Wondering enables continuous product discovery to collect valuable user feedback and build your product in tune with user teams. You can achieve this with a much shorter time to insight.
With Wondering, you can quickly create a comprehensive research study by simply adding a prompt about your goals and subject. Design AI-moderated interviews, multilingual surveys, and prototype tests with ease. Then, recruit participants from a global panel of 150,000 vetted candidates—all in a fraction of the time it would take using traditional methods.
Benefits to explore Wondering removes friction from the user research process by automating several tasks. You can launch a study and get insights within minutes. Here’s how Wondering can benefit product teams:
Effortlessly create studies : Quickly design and customize research studies with an AI-powered study builder. Create your own questions and choose from multiple question types. Share with vetted participants : Access a pool of qualified participants ready to provide valuable feedback. Or embed these studies within your product to collect in-the-moment insights.AI-powered analysis: Use AI for data crunching while your team focuses on interpreting the insights to make strategic decisions for your product. How Butternut Box do continuous product discovery with Wondering’s AI For Butternut Box’s product team, conducting continuous product discovery was an uphill battle. With a rapidly growing customer base, they wanted to build features closely aligned with user preferences and behaviors. But, traditional research methods were slow, tedious, and inaccurate.
Wondering turned this challenge into an opportunity for Butternut Box.
With Wondering, the user research process became a breeze. The team could quickly create, customize, and share studies. AI analytics allowed them to quickly identify patterns and insights, ultimately fast-tracking their decision-making process.
Read the case study 2. You’re trying to scale and democratize research in your organization In many organizations, user research is siloed within specific teams, which creates a disconnect between different teams. Product, sales, marketing, and customer support—each team has its own understanding of customer needs.
This means crucial insights can be lost in translation, creating discrepancies in how you build and sell your product.
One of the main reasons teams aren’t on the same page is the complexity of conducting user research. It requires technical expertise, a time commitment, and analytical knowledge. This often limits research to a few people, leaving other teams in the dark about what users truly want.
This is where Wondering democratizes user research for your entire organization.
With an intuitive interface and AI-powered automation, Wondering empowers anyone in your company to set up, share, and analyze research studies without a specialized skill set in UX research . It ensures that user research isn’t confined to the UX and product teams.
Marketers can gain customer insights to launch targeted campaigns, salespeople can understand buyer expectations to improve their tactics, and support teams can identify critical pain points.
Benefits to explore With Wondering, every team can tap into the power of user research and work from the same set of data to make meaningful decisions. It brings all your strategies together to create stronger alignment within your org. Here’s how Wondering can benefit teams in the long run:
Collaborative research approach : Build a culture of collaboration within your organization and empower every team member to benefit from user research. Effortless setup and adoption : Ditch the complicated process of launching research studies and adopt a simplified method to collect actionable insights quickly. How StreamElements scale their research with Wondering Product teams at StreamElements struggled to guide their product development efforts based on customer insights. Traditional research methods took up to 3 weeks to gather valuable data.
An added challenge was keeping their marketing and customer support teams on the same page about new feature releases. A disconnect between different teams disrupted the user experience and increased customer complaints.
This is where Wondering helped the team build a scalable user research setup. Teams could conduct continuous product discovery and make data-backed decisions. As a result, they completed 50% more research studies in the first six months than before.
Read the case study 3. You want to use AI to interview participants in different languages Conducting user research across borders is no small feat. To overcome language barriers, you have to coordinate with a local team of translators and spend extra time (and money) analyzing data to derive meaningful insights.
With traditional research methods, this process is tedious, resource-intensive, and can be prone to errors. You might end up with fragmented insights where things get lost in translation.
Wondering breaks down these language barriers to make multilingual user research a breeze.
With over 50 supported languages, Wondering’s powerful AI can instantly translate your research studies into your chosen languages. It’ll also translate participants’ responses into your preferred language for easy analysis. With Wondering, you can create once and translate forever!
Here’s the best part: Wondering’s AI understands the nuances of each language to translate your questions and make them culturally relevant.
Benefits to explore 50+ languages : Publish your research studies in multiple languages and let participants decide their preferred language. Conversational AI : Make your interviews and surveys engaging with an AI-moderated conversation in a chosen language. Thematically analyzed data : Wondering converts all responses into your preferred language and thematically organizes data for further interpretation.How Matsmart interview customers internationally with multilingual AI-moderation Matsmart, an eco-conscious food retail brand, wanted to get a better understanding of its audience and discover their diverse preferences. The UX teams targeted buyers in the Nordic region but struggled to conduct multilingual research with their existing user research setup.
After integrating Wondering into their research process, they could quickly collect insights from people across Nordic countries. It helped the team gather rich insights and better understand their diverse audiences.
Lead User Researcher at Matsmart, Sofia Dunemann, shares, "It's really good that we can use it to interview customers in the Nordic smaller markets. We can trigger studies in any language. That was a big limitation with tools we have used in the past."
Read the case study 💡 Further reading: The guide to multilingual user research with AI
4. You want to recruit the right participants faster Ask any UX researcher about the most taxing part of a research project, and they’ll likely tell you the same thing: recruiting the right candidates.
Participant recruitment can be a lengthy and overwhelming process for many teams.
That’s primarily because you have to build a database of interested candidates and individually verify whether they’re a good fit for your project. Then, share necessary details, schedule interviews or surveys, and keep going back and forth.
This is where Wondering makes a big difference to win time back for UX researchers.
Instead of spending days (or weeks) searching for the right candidates, you can simply filter a database of 150,000 vetted participants on Wondering Panel . Apply multiple filters like location, age, role, and more to narrow your search and find the best-fit candidates.
Benefits to explore Powerful search filters: Choose from over 300 filters—like income, gender, language, relationships, interests, and more—to make your search as specific as possible.Shorten time-to-insight: Roll out your research studies quickly and reach participants through the Wondering app instead of switching between different platforms to create and share a study.In-the-moment insights : Deploy in-product studies to collect in-the-moment insights. Use targeted segmentation to trigger these studies for the right audience and gather meaningful data.How Gousto recruit the right participants with AI Gousto, a UK-based meal kit delivery service, wanted to actively involve its target audience and customers to enhance its service. The team worked with existing participant databases and recruitment agencies to find the right candidates for its research surveys.
However, they soon realized these participants weren’t aligned with Gousto’s target audience. Plus, most participants offered practiced responses instead of genuine answers because they’d participated in several other studies. The 14-day turnaround time for this data made matters even worse.
Things changed for the better when Gousto’s product team started using Wondering to collect in-product insights from real customers.
The team embedded research studies on their website to validate product decisions, run design tests, and collect real-time feedback. These studies also drastically reduced the response time from 2 weeks to just 2 minutes.
Read the case study 5. You want to uncover patterns and insights in your user research data with AI Analyzing user research data is another major challenge for researchers, especially those not well-versed in analytical methods.
Feedback from various sources can pile up a mountain of data. Transcribing, organizing, and analyzing these large volumes of data is as challenging as it gets. You also face the risk of human error and oversight, leading to overlooking key patterns and missing insights.
Wondering takes away the burden of manual data analysis with its AI-powered analytics solution .
The platform automatically analyzes data by transcribing and translating responses. It also identifies key themes in the responses and curates supporting quotes (without the manual data entry process). You’ll also find a dashboard for all individual responses with metrics like device used, time spent, and more.
Benefits to explore Thematic analysis: Thematically organize and analyze responses to identify key patterns, trends, and highlights in the data. Auto-transcribe responses: Automatically transcribe responses in your chosen language and analyze the transcript to discover the primary themes in the data.Detailed insights and quotes: Get a curated list of quotes and voice responses to support each theme and give you firsthand insights from participants.How KatKin turn responses into insights with AI analysis KatKin, a pet food company, couldn’t embrace a continuous product discovery process due to the long time to insight with traditional research methods. The team spent several weeks collecting and analyzing user feedback.
KatKin’s product team adopted Wondering to reduce this time to insight from weeks to a few days and hours. Wondering’s AI-powered analytics drastically reduced the time and manual effort spent on data analysis.
Matilde Betti Canuti, Senior Product Designer at KatKin, mentions, "We completed a full research project in just 3 days with detailed interviews with more than 30 users, which would have taken 2 weeks to complete previously."
Read the case study Level up your user research approach with Wondering Even with so many tools in the market, user research continues to be a long-drawn and painstaking process for many. As a result, product teams often rely on guesswork to build new capabilities and struggle to drive adoption. We built Wondering to change this equation.
Wondering is a secure and responsible AI-powered platform to keep your customers at the heart of your product development efforts through streamlined user research.
Sign up for a free trial to see Wondering in action.
