WeJot

WeJot (问卷派) is a browser-based research platform built around an AI agent rather than a fORM editor. Instead of assembling questions field by field, you describe a research objective in plAIn language and the Agent drafts the questionnaire structure, screening items, follow-ups and logic on its own. The product is aimed at teams that need to move from a research question to a presentable set of findings without stitching together a form tool, a panel vendor, a statistics package and a document editor.

What it does

The platform covers a full research loop: survey construction, qualitative interviewing, Sample delivery, statistical analysis and report ouTPUt. Each study lives insIDE a project workspace, so the questionnaire, interview transcripts, collected responses, charts and final report stay together and remain traceable as the project evolves.

Key capabilities

• Conversational survey authoring — describe the goal and the agent generates a complete draft, including screening questions, scale batteries and conditional follow-ups. You can keep refining through dialogue.
• Document-to-survey conveRSIon — upload a Word document and have its content turned into a draft questionnaire.
• Advanced logic handling — conditional display, follow-ups triggered by low scores, looped rating grids after multi-select answers, randomized items and formula-based question types.
• Branded presentation — customizable themes and a one-question-per-slide immersive answering mode.
• AI video interviews — respondents can give open-ended spoken feedback in a video format, with the platform organizing the resulting qualitative material for satisfACTion and user-insight studies.
• Audience matching — describe a target respondent profile and the platform matches it against a built-in sample pool, with estimated size and cost shown before launch.
• Analysis and reporting — clustering, regression, sample weighting, NPS and cross-tabulation presented visually, plus automatically drafted charts and an exportable Word report suitable for stakeholder decks or academic work.

Who it is for

User researchers, product managers, marketing and consumer-insight teams, and university faculty or students running survey-based studies. It suits people who know the research question but do not want to configure logic trees or manage panel recruitment manually.

How to get started

Create a project, write a short brief covering the research purpose and target respondents, then review and adjust the generated draft. Choose distribution next: share your own link, request a matched sample, or enable AI video interviews. Once data ARRives, run the built-in analysis and export the report.

Pricing and access caveat

The platform is web-only and bASIc questionnaire editing includes a free allowance. Sample delivery, AI interviews, advanced statistics and report export are typically metered by credits, and panel samples are billed separately per completed response, with indiVidual and team tiers. Specific quotas and prices may vary and should be confirmed on the official site before comMITting budget.

Two practical limits are worth noting. The agent produces first drafts of both instruments and findings, so a researcher should review question wording and validate conclusions. complex logic is edited mainly through conversation, so fine-grained changes require another round of instructions rather than direct dRAG-and-drop adjustment.