Wimmi utilizes an AI-powered chatbot to conduct 500 user interviews, enabling UX research teams to gather qualitative data efficiently. This approach addresses the challenge of obtaining actionable insights from user feedback while automating participant recruitment and data collection.
Funding
Funding not disclosed
Founders
Product
Problem
UX research teams face challenges in efficiently gathering qualitative data from user interviews. Traditional methods are time-consuming and costly, hindering the ability to obtain actionable insights from user feedback at scale.
Solution
Wimmi offers an AI-powered chatbot platform that automates user interviews to collect qualitative data for UX research. The platform recruits participants, conducts interviews, and generates reports with summaries, action items, and audio recordings. By mimicking focus group techniques using generative AI, Wimmi provides marketing teams with insights into user opinions, creative ideas, and ad perception. The platform enables teams to gather and analyze feedback from a large number of users, providing qualitative data at scale.
Target Audience
The primary users are advertising agencies and UX research teams seeking to efficiently gather qualitative data from user interviews.
Features
- AI-powered chatbot conducts user interviews
- Automated participant recruitment from integrated research panel
- Generative AI mimics focus group techniques to gather diverse opinions
- Reports include conversation summaries, action items, quotes, and audio recordings
- Analysis of user opinions, creative ideas, and ad perception
- Raw data export with a link to a designed report summarizing top insights