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A conversational survey replaces static forms with a natural, two-way AI dialogue. Instead of presenting a fixed list of questions, the AI adapts in real time — asking intelligent follow-ups based on each person's answers. This produces richer, more honest responses and dramatically higher completion rates than traditional surveys. Sarina by Datanautix is purpose-built for this kind of conversational AI surveying.

Unlike Typeform or SurveyMonkey, which present pre-set question lists, Sarina is an AI survey tool that conducts a genuine conversation. It listens to each response and follows up intelligently, capturing the nuance and context that checkbox and rating-scale surveys miss. Sarina has achieved 10× higher response rates than post-event email surveys and 15–20% in-venue response rates without any prompting from staff.

AI text analytics is the automated analysis of open-ended, qualitative feedback — such as survey responses, online reviews, or customer emails — using natural language processing (NLP). It identifies recurring themes, sentiment drivers, trends over time, and differences between customer segments, without requiring manual hand-coding or a data analyst. Ana by Datanautix is an AI text analytics engine designed for exactly this purpose.

Ana can analyze any open-ended text data: conversational survey responses from Sarina, online reviews, customer support emails, fan feedback from events and sports venues, hospitality guest feedback, voter opinion survey responses, and uploaded CSVs or Excel files. Ana requires a minimum of 1,000 comments to surface statistically meaningful insights.

Yes. Sarina is purpose-built for in-venue and post-event feedback collection. Fans scan a QR code and engage in a natural AI conversation about their experience — capturing sentiment about entertainment, concessions, seating, and atmosphere while the experience is still fresh. Datanautix has deployed Sarina with clients including the Harlem Globetrotters, achieving 15–20% in-venue response rates at live events.

Yes. While NPS gives you a single number, Datanautix gives you the story behind it. Sarina collects rich, open-ended responses through AI conversation, and Ana automatically identifies the themes, drivers, and trends that explain why customers feel the way they do — so you can act on the feedback, not just measure it.

In an independent evaluation at UCF Rosen College of Hospitality Management, Ana performed almost as well as a team of professors and outperformed a graduate student at deriving actionable insights from qualitative data — completing the analysis in less than 5% of the time it took the human team.

Ana accepts CSV files, Excel spreadsheets, Sarina survey exports, plain text, and online review exports from platforms like Google, TripAdvisor, and Yelp. Any open-ended text data with at least 1,000 responses can be analyzed. No special formatting or tagging is required before upload.

Most datasets are fully analyzed in seconds to a few minutes, depending on size. A dataset of 5,000 responses typically returns theme discovery, driver analysis, and sentiment scoring in under 2 minutes — compared to days or weeks for a human analyst team.

Yes. Sarina is purpose-built for political opinion research as well as commercial feedback collection. Rather than presenting fixed rating scales, Sarina engages voters in open-ended dialogue that reveals the nuanced concerns, values, and priorities driving their views — far richer data than standard voter surveys deliver.

No. Sarina is deployed with a QR code or link — no app development or technical setup. Ana accepts standard CSV or Excel uploads and returns results in plain English. Neither product requires a data scientist, developer, or analyst to operate.

Sarina and Ana serve any industry that collects open-ended feedback: sports and live events (fan feedback), hospitality (guest experience surveys), higher education (student and alumni feedback), healthcare (patient experience), retail (customer feedback), politics (voter opinion research), and corporate CX programs.