Ziggy is an AI tool designed to automate 1-on-1 conversations by imitating human-like discourse and offering real-time analytics. It enables users to conduct various types of interviews such as customer, product, and employee feedback interviews, market research, exit interviews, UI/UX testing, user research, event feedback, customer discovery, and policy feedback. Ziggy provides sophisticated analytical tools, natural language search features, and facilitates team collaboration. The tool can summarize user responses and help improve customer retention by fostering effective communication and understanding user needs.
Ziggy was created by a company, and the founder or creators are not explicitly mentioned in the provided documents. However, Ziggy was launched on April 9, 2024. It is an AI tool designed to automate 1-on-1 conversations, offering real-time analytics and enabling various types of interviews such as customer, product, and employee feedback interviews, market research, exit interviews, UI/UX testing, user research, event feedback, customer discovery, and policy feedback. The tool facilitates team collaboration, provides sophisticated analytical tools for interpreting user preferences, and enhances customer retention through effective communication.
To use Ziggy, follow these steps:
Set Up the Interview: Add the purpose and questions you want Ziggy to ask.
Share the Interview Link: Distribute the Ziggy link to participants for interaction.
Analyze Responses: Review and analyze the responses to gain actionable insights into user perspectives.
Ziggy is an AI tool designed for automating 1-on-1 conversations, providing real-time analytics, and conducting various types of interviews like customer feedback, product testing, and more. It aids in team collaboration, offers natural language search, and summarizes user responses for informed decision-making. Ziggy utilizes NLP to simulate human-like conversations and supports interviews without scheduling restrictions. Additionally, it enhances customer retention by fostering effective communication and can be used for market research, UI/UX testing, and user research.
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