Conversational AI agents guide respondents through questions one at a time in a chat-style interface, which reduces cognitive load and keeps participants engaged longer. Studies show chatbot-based surveys achieve 60-80% completion rates compared to the 15-45% typical of traditional online forms. The conversational format also tends to produce more detailed open-ended responses because participants feel like they are talking, not filling out a form.

The agent supports multiple choice, single select, rating scales (including Likert and NPS), ranked preference lists, open-ended text fields, and conditional follow-up questions. It handles all of these within a single conversational flow, so respondents experience a natural dialogue rather than switching between different input formats. You can also add screening and qualification questions at the start to filter participants.

Yes. Tars connects natively with Google Sheets, Salesforce, HubSpot, and Zoho CRM for direct data routing. For specialized research tools and custom analytics platforms, you can use Zapier or configure webhook endpoints to push structured response data to virtually any system. All integrations support real-time data transfer, so your team can monitor incoming responses as they arrive.

Tars is SOC 2 Type 2 certified with ISO 27001 compliance, and all data is encrypted both in transit and at rest. For B2B market research involving sensitive competitive intelligence or proprietary business data, these certifications ensure respondent information is protected to enterprise standards. Tars also supports GDPR-compliant data handling for research conducted with European participants.

Every aspect of the agent is configurable, from individual question wording and response options to multi-path conditional branching logic. You can set up screening criteria that route qualified respondents deeper into the survey while gracefully exiting unqualified participants. The conversational flow adapts in real time based on each respondent's answers, making every survey path unique to the participant.

Most market research agents can be configured and deployed within a few hours, depending on the complexity of your branching logic and the number of question paths. The conversational interface is ready to embed on your website, share via direct link, or distribute through messaging channels immediately after setup. There is no coding required, and your research team can manage question updates directly.

Conversational agents perform particularly well for customer satisfaction studies, product-market fit assessments, brand perception surveys, pricing sensitivity research, and competitive intelligence gathering. Any study where respondent engagement directly affects data quality benefits from the conversational format. B2B research with complex screening criteria also sees strong results because the agent can qualify participants naturally within the first few exchanges.

Tars supports multiple languages, allowing you to deploy the same research study across different geographic markets without building separate survey instruments. The conversational agent can be configured with localized question sets for each language, and response data flows into the same centralized collection point regardless of the respondent's language. This is especially valuable for global B2B research programs that need consistent methodology across regions.