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.
The summarization feature is incredibly useful. It provides a concise overview of responses that helps in making quick decisions.
I would like to see a broader range of languages supported for our diverse team.
Ziggy allows us to conduct employee feedback interviews efficiently, ensuring we capture insights that can help improve team morale and productivity.
The real-time tracking of responses provides immediate insights that are invaluable during decision-making.
Sometimes the AI struggles with complex questions, but it generally performs well.
Ziggy enhances our market research efforts, helping us gather critical data that informs our strategies.
Ziggy's ability to adapt the conversation based on user feedback is remarkable and truly enhances the experience.
I wish there were more templates available for different types of interviews.
Ziggy streamlines our policy feedback interviews, giving us quick insights that help shape our strategies.