Got CSV files of survey responses, in-app feedback, or product reviews to analyze? Running user research on Typeform, SurveyMonkey or other apps? Viable sorts, tags, and analyzes your qualitative data, turning it into voice of the customer insights you can use to keep dreaming up new ways to delight.
High quality customer feedback from multiple sources, normalized
Viable brings together qualitative feedback from multiple sources on an ongoing basis so you can ask user research questions from all your customer inputs at any time. No need to wait for surveys to be manually tagged and analyzed separately from support tickets, online reviews, or tweets.
First party data sorted and scored
Viable's natural language processing assigns sentiment and emotion to qualitative feedback. It also counts topics and trends instantly, turning qualitative data into a quantified dataset that’s detailed and highly accurate. See the stories and trends with just a few clicks.
Ask questions iteratively with text analysis from GPT-3
Manual text analysis used to take days or weeks. Now, get customer insights at the speed you need with answers in seconds. Ask, “how do people feel about the new color scheme?” or “which features are frustrating?” Drill down in the structured qualitative data to find out what to prioritize, powered by GPT-3.
Hear your customers loud and clear
Engineering, customer service, marketing, leadership—you listen to everyone’s needs, and find a way to bring it all together. We know the feeling. Viable analyzes qualitative data across all your customer feedback channels constantly so you can make crucial decisions with the latest and most complete customer insights. In a way, it’s kind of like a product team for your product team.
Add an AI UX researcher to your team’s Slack
Instant customer insightsAsk @viable a question in Slack, and get an answer right away. Anyone in the channel has access to the qualitative analysis that summarize what your customers think.