aytm (Ask Your Goal Market) introduced the launch of Dialog AI, a big enhancement to its insights know-how platform and Skipper suite of AI-enabled analysis instruments. Dialog AI empowers researchers to conduct dynamic, AI-driven interviews concurrently throughout respondent samples, transferring past static inquiries to seize wealthy, conversational qualitative knowledge that may be systematically analyzed and quantified.
“Capturing real human perspective typically requires an actual dialog, not only a easy Q&A,” stated Lev Mazin, CEO of aytm. “Dialog AI is designed to facilitate that pure back-and-forth dialogue, probing deeper into the ‘why’ behind responses—permitting researchers to disclose qualitative depth at quantitative scale, all in the identical venture.”
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Key capabilities unlocked by Dialog AI:
- Dynamic AI interviews: Have interaction respondents in responsive, human-like dialogues that discover matters in better depth.
- Richer contextual knowledge: Seize the nuances, feelings, and reasoning behind shopper decisions by real dialog.
- Concurrent qualitative exploration: Conduct deeper interviews concurrently throughout respondent teams, scaling qualitative depth past conventional strategies.
- AI-powered thematic coding and quantification: Robotically determine, code, and quantify key themes rising from conversations, enabling charting and evaluation at scale.
“It’s not nearly having deeper conversations at scale, but additionally about making sense of wealthy, unstructured knowledge with the utmost effectivity,” Mazin added. “Dialog AI facilitates the dialogue, after which, with Skipper’s assist, constructions these qualitative findings into quantifiable themes.”
Dialog AI leverages superior pure language processing, enabling researchers to design dialogues the place an AI assistant interacts dynamically with respondents, asking follow-up questions and exploring responses extra completely. This course of yields richer, extra genuine qualitative knowledge. Subsequently, aytm’s AI analysis companion, Skipper, assists in processing these conversations to determine, code, and quantify emergent themes. This important step permits researchers to visualise qualitative patterns, monitor sentiment, and combine these deeper insights seamlessly into their total evaluation, delivering on the promise of qual insights at quant scale.
