Parliant is an innovative feedback collection platform designed for businesses, researchers, and product teams looking to move beyond traditional static forms. By replacing standard questionnaires with dynamic, AI-driven conversational surveys, the tool engages participants in natural, interactive dialogue. This conversational approach helps capture richer, more qualitative insights, as the AI can ask follow-up questions and probe deeper based on user responses. The platform is particularly useful for customer experience managers and marketers who want to understand customer sentiment more comprehensively. Instead of clicking checkboxes, users can express their thoughts in their own words, while Parliant's underlying technology structures and analyzes this unstructured text. This transition from rigid surveys to fluid conversations leads to higher response completion rates and more actionable customer feedback. By automating the interview process, the system allows organizations to scale qualitative research efforts without needing a human moderator for every interaction.
Problem: Traditional multiple-choice surveys suffer from low response rates and fail to capture the true context behind user complaints.
Solution: Parliant conducts natural, interactive conversations that probe deeper into open-ended responses.
Example: A user notes they dislike a feature, and the AI immediately asks: "Could you share a specific time that feature caused a block?"
Problem: Market researchers spend hours writing conditional logic trees to handle different user pathways in traditional forms.
Solution: The platform builds a dynamic, responsive conversation flow based on a simple, plain-text research goal.
Example: An administrator inputs "Find out why customers are closing their accounts" to launch an interactive feedback survey.
Target audience: Best for: User experience researchers, Brand managers, Customer happiness teams
Pricing: Subscription · Categories: Customer Support, Research
Tags: chatbot, Customer Support, research, SmartConversations
Parliant is an AI-powered conversational survey platform designed to collect qualitative customer and user feedback. Instead of presenting static forms and standard multiple-choice questions, it conducts interactive dialogues with respondents. The system automatically asks relevant follow-up questions based on earlier replies, enabling product teams and researchers to gather richer context and sentiment without needing manual moderation.
Respondents interact with Parliant through a conversational interface that accepts both typed text and audio voice answers. When a user writes or speaks an open-ended response, the AI analyzes the input in real time and can ask follow-up questions to clarify or expand on specific points, providing an experience similar to a live interview.
Survey creation in Parliant does not require researchers to build rigid logic branching trees or manually script conditional pathways. Instead, administrators enter plain-text prompts defining their research goals, such as finding out why users cancel accounts. The platform uses that prompt to automatically generate an adaptable, conversational question flow.
Parliant processes open-ended qualitative text and audio responses automatically. Its underlying technology structures unstructured conversational data and organizes findings into automated feedback theme extraction dashboards. This allows customer experience teams and researchers to identify key patterns, user complaints, and sentiment trends without having to review every transcript manually.
Parliant is offered under a subscription pricing model. Specific subscription tiers, seat limits, or usage allowances depend on the current offerings available through the service provider. Teams interested in accessing Parliant can check their official website for detailed plan features and subscription billing options.