> For the complete documentation index, see [llms.txt](https://docs.ngsurvey.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ngsurvey.com/de/form-management/form-designer/answers.md).

# Antworten

## 📝️️ Was sind Antworten?

Antworten sind die zentralen Teile Ihrer [Fragen](/de/form-management/form-designer/questions.md) um die Informationen zu sammeln, die Sie von Ihren [Befragten](/de/form-management/respondents-management.md).

Eine Antwort kann als ein kleines Modul definiert werden, genannt [answer type](/de/form-management/form-designer/answers/answer-types.md) das eine einzigartige Funktionalität bietet, die zum Aufbau Ihres [Fragen](/de/form-management/form-designer/questions.md). ngSurvey stellt von Haus aus eine Reihe von [answers types](/de/form-management/form-designer/answers/answer-types.md) zur Verfügung, die Sie in Ihren Fragen verwenden können, zum Beispiel Kalender, Optionsfelder, Unterschriftenfelder, Eingabefelder, Listen von Elementen.&#x20;

![](https://133942686-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-M8fLhS0bmfBRyq0HdUm%2F-MBwgQYvxNEaQFXLrRW6%2F-MBwgklC3el4rClOCon9%2Fimage.png?alt=media\&token=f7ffe5a2-9416-48f1-8a24-144280a42b55)

{% hint style="info" %}
Sie können auch eigene Antworttypen entwickeln [widgets](/de/form-management/form-designer/answers/answer-types/creating-new-type/widget.md) mithilfe von einfachem JavaScript und HTML.
{% endhint %}

## 🔠️️ Mischung von Antworttypen

Wie im folgenden Beispiel zu sehen ist, können Sie eine Frage mit beliebigen Antworttypen erstellen.

![](https://133942686-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-M8fLhS0bmfBRyq0HdUm%2F-MBwZZ6EFOdrs6vwJvBT%2F-MBwbd4W4Nf4nH9uOXSh%2Fimage.png?alt=media\&token=fecce40a-5761-46eb-b763-fcd06939a28b)

{% hint style="info" %}
Im obigen Beispiel-Kontaktformular haben wir ein [Feld](/de/form-management/form-designer/answers/answer-types/entry-field.md), ein [email validator ](/de/form-management/form-designer/answers/answer-types/email-validator.md)und ein  [captcha](/de/form-management/form-designer/answers/answer-types/captcha.md) validation answer type verwendet, um unsere Frage zu erstellen.
{% endhint %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.ngsurvey.com/de/form-management/form-designer/answers.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
