Tabnam is an AI tool that conducts feedback surveys through text messages and WhatsApp channels for data collection. The platform enables organizations to gather user input directly within messaging environments rather than relying on standard web forms. By sending surveys via SMS and WhatsApp, Tabnam gathers data intended to deliver insights for customer satisfaction, market research, product management, and quality assurance workflows. Teams responsible for customer support, design evaluation, and product research can use Tabnam to collect responses directly from their users' preferred chat applications. Rather than directing respondents to external questionnaire links, the platform uses conversational text interactions to collect feedback entries. Collected information serves operational needs such as evaluating service interactions, measuring customer sentiment, testing product ideas, and verifying quality standards across customer touchpoints. Tabnam provides organizations with feedback data gathered through mobile communication channels, helping teams analyze audience reactions to services, products, and experiences without requiring dedicated survey applications or portal logins. Pricing details for Tabnam are not publicly specified, so users should check the official platform for tier availability.
Pricing: Unknown · Categories: Audio Editing, Customer Support, Design
Tags: audio editing, Customer Support, design assistant, human resources, research, social media assistant, text to speech
Tabnam is an artificial intelligence tool designed to conduct surveys and collect feedback through mobile messaging channels, specifically SMS text messages and WhatsApp. It allows organizations to gather customer sentiment, research responses, and quality data without directing users to external survey web pages or specialized survey software.
Tabnam gathers survey feedback directly through standard text messages (SMS) and WhatsApp. By operating inside these common chat platforms, the tool communicates with users directly on their mobile devices, gathering responses in conversational text format to support customer support, market research, and quality assurance efforts.
Tabnam is designed for customer support teams, product managers, market researchers, and design professionals who require direct customer feedback. Organizations seeking to evaluate customer satisfaction, measure service quality, or perform market analysis can deploy the tool to gather survey responses from their target audience via chat applications.
Tabnam supports feedback collection for customer satisfaction tracking, product management analysis, quality assurance verification, and market research studies. Organizations use it to capture immediate impressions, monitor customer sentiment after support interactions, and gather structured user input directly through conversational channels like WhatsApp and text messages.