Roundtable
About Roundtable
Roundtable is a cutting-edge platform that streamlines survey data cleaning and fraud prevention for market research agencies. Utilizing AI technology, it effectively identifies and flags suspicious responses, ensuring high-quality data that saves users time and resources in managing open-ended survey responses.
Roundtable offers flexible pricing plans tailored to varying needs. Each tier includes features like real-time data cleaning and API access. Users benefit from enhanced data quality and efficiency, enabling them to focus on critical analysis. Discounts are available for longer subscription terms.
The user interface of Roundtable is designed for ease of navigation, allowing users to effortlessly access its powerful data cleaning features. Its clean layout integrates real-time monitoring tools and user-friendly dashboards, enhancing the browsing experience and ensuring effective data management.
How Roundtable works
Users begin by signing up for Roundtable and integrating the API with their survey systems. Once connected, the platform automatically analyzes incoming data in real-time, flagging any suspicious or low-quality responses. Users can easily monitor these markers through an intuitive dashboard, streamlining their survey management process.
Key Features for Roundtable
AI-assisted Survey Data Cleaning
Roundtable’s AI-assisted survey data cleaning feature streamlines the quality control process for market research agencies. By automatically identifying and flagging suspicious responses, Roundtable saves users significant time, allowing them to focus on valuable insights rather than manual checks.
Real-time Behavioral Tracking
With Roundtable, real-time behavioral tracking detects unnatural typing and programmatic entries promptly. This feature enhances data integrity by ensuring that the responses collected are genuine, ultimately leading to more reliable and actionable insights for researchers and data analysts.
Dynamic Clustering
Roundtable’s dynamic clustering feature efficiently identifies and groups duplicate responses across multiple participants. This unique capability streamlines data analysis and helps researchers maintain a cleaner dataset, ensuring that insights derived are based on genuine user feedback.
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