Semiform: Revolutionizing Form Responses with AI
Semiform is an innovative AI tool that is changing the way we handle forms. Instead of making respondents fill out complex forms, it allows them to type their answers in natural language.
Overview
Semiform offers a seamless experience for both the form creators and the respondents. It simplifies the process of gathering information, leading to higher response rates and happier users. For example, if you're organizing an event like FunCon 2024, you can easily ask for details like the attendee's name, T-shirt size, and the days they'll be attending, all in a natural language format.
Core Features
- Natural language parsing: Semiform uses an AI agent to parse the natural language responses of users into structured data. This means it can understand and organize the information even if it's not in a traditional form-filling style. Moreover, it can ask follow-up questions if needed to get more detailed information.
- Email responses: Users have the convenience of filling out forms right in their inbox. They don't need to click on a link to access a separate form. This makes the process quicker and more accessible for them.
- Automatic result summaries: Forget about spending hours reading through each and every response. Semiform provides an AI-powered summary automatically, saving you valuable time and effort.
Basic Usage
To start using Semiform, first, write clear instructions for your users. Let them know exactly what information you're looking for. Then, add the relevant form fields by telling the AI what data to extract from each response. Once that's done, users can respond in free text, either with a link or via email. And you'll get their responses in a structured and easily understandable format.
Compared to traditional forms, Semiform offers a more user-friendly and efficient approach. It's like having a personal assistant that takes care of the form-filling process for both you and your respondents, making the whole experience much smoother and more productive.
