Blix Adds New Options for Unstructured Text

Tel Aviv-based, AI-powered analysis platform Blix has added new features designed to make tracking and recurring studies faster and easier to analyze. The upgrades include more integration with existing workflows; and options to extend and reuse existing codebooks.

Led by CEO and co-founder Gal Orian Harel, Blix helps clients analyze text feedback at scale, including open-ended survey responses and customer reviews. The platform can automate verbatim coding, perform sentiment analysis and extract meaningful insights' from qual data, within 'minutes.'

Blix says that once a researcher has set up an initial codebook, analyzing large volumes of new responses should take 'just a few clicks', with no need to start from scratch or repeat the same work with every new wave. Now, with continuous analysis, users can add more data to any project at any time - for example new waves of data for tracking studies, for which Blix will automatically code new responses using the same codebook.; and incoming responses from surveys still in field, where initial findings have been reported early. Users who are asking the same question across multiple studies can now load a codebook directly from a previous Blix project, allowing consistency in coding across studies.

A new Text Analysis API lets clients integrate Blix coding directly their existing tools and automated research workflows, including the ability to stream coded data into live dashboards, and to connect Blix to survey platforms and panels.

The firm is online at www.blix.ai .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.