HumanSurvey FAQs

Question 1

What types of questions and features does HumanSurvey support?

Accepted Answer

It supports four semantic question types: choice, text, scale, and matrix. Surveys can include conditional logic ('showIf') for dynamic flows and are defined using JSON schema or a simple Markdown syntax for precision and machine readability.

Question 2

What is HumanSurvey designed for?

Accepted Answer

HumanSurvey is a specialized tool that enables AI agents to collect structured feedback from human groups, delivering machine-usable results through a minimal API and MCP (Model Context Protocol) server. It's built for AI-first data collection.

Question 3

How does HumanSurvey integrate with AI models like Claude Code?

Accepted Answer

HumanSurvey provides an MCP (Model Context Protocol) server integration, allowing AI models such as Claude Code to directly interact with the system. Agents can use tools like `create_survey` and `get_results` through the MCP server to manage feedback collection programmatically.

Question 4

How do AI agents use HumanSurvey to gather feedback?

Accepted Answer

AI agents define surveys using JSON schemas, share a unique URL with human respondents, and then retrieve the structured JSON results to inform their actions. It integrates seamlessly into agent workflows, including direct interaction via MCP servers.

Question 5

Is HumanSurvey a general-purpose survey platform with dashboards?

Accepted Answer

No, HumanSurvey is explicitly *not* designed for traditional survey dashboards, visual form builders, template libraries, or extensive analytics for human operators. Its narrow scope focuses solely on AI-first feedback collection for structured, machine-usable data.

HumanSurvey

HumanSurvey

主要功能

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主要功能

使用案例