Welcome to Wejot

Wejot Docs - Product Guide, How-tos, Best Practices

This page explains the key steps and best practices for this feature in Wejot.

As AI becomes widely used for research and analysis, more people rely on large language models to do “research”. But you will quickly find that AI alone cannot solve every research problem.

A model’s knowledge comes from existing data and historical information:

When a product just launched or a rule just changed, there often isn’t a ready-made answer.
Existing data can amplify the voices of those who speak up, while ignoring the silent majority.
When sample size is insufficient, you still need to collect new, real feedback to make confident decisions.

The real question is not “how to analyze what already exists”, but “how to obtain new, real information.”

Wejot is not a traditional survey tool. It is a research assistant for survey studies, built on AI Agent technology.

We use AI Agents where they create real value in the research workflow:

Understand your research goal and the decisions you need to make
Turn the need into an executable survey structure, step by step
Generate professional and complex surveys dynamically with code generation

Instead of navigating endless configuration panels, you move the study forward through conversation—naturally.

In real projects, we repeatedly saw the same tension:

On one hand, research questions are getting more complex. On the other, traditional survey tools force researchers to spend time on “operations” rather than “judgment”.

That is why we built Wejot: to help you connect with real people, collect real data, and arrive at more reliable insights—through a cleaner, research-first workflow.

If you have a rough research idea, or you are facing a decision that needs real user feedback, you can start from the next step:

Wejot will take it from there and help you push the research forward.