Choose a starting point
Choose the path that fits the work. Each one ends with a small questionnaire you can check against an explicit expectation. The same five steps take a reviewed script into hosted fieldwork:
- Install the QubeSurvey extension. See installation.
- Write or paste a script and test it locally. Use invented answers.
- Upload to app.qubesurvey.com for team testing and tickets.
- Run fieldwork. Use an open link or personal invitations when enabled.
- Export and download the data. Use an available Run export.
The first-survey guide explains each step and current beta limits.
Before you start
- Use invented study details, participant identities and answers throughout.
- Local authoring and interview testing with QubeSurvey extension need no hosted account or sign-in.
- Hosted sign-in options depend on the environment. A configured identity provider can allow registration without an invitation; email sign-in links are limited to existing accounts and current project invitees. A signed-in user can create a billing Account and a Script. Uploading to an existing Script requires Account access and permission to edit it; see People, access and billing.
- Hosted MCP is limited to an evaluation and is not generally enabled. None of these paths depends on it.
I work in market research or script surveys for NIPO
Start with one study specification and its existing instrument.
- Keep the specification beside the source. Pick one representative route whose wording, answer domain or routing matters to the study.
- Use the source as your reference. For QubeScript, see the
quickstart; for an existing Odin file, keep its
.odinextension and test the behavior you need. - Open the file in the QubeSurvey extension. Resolve errors and review warnings.
- Run the selected route locally, compare its questions and outcomes with the specification, and test a correction with Back if it is relevant.
Result: one route checked locally against its written requirement. This is a bounded route check; it does not establish that a whole NIPO questionnaire has been migrated.
I need a more explicit route than my current survey tool provides
Start with one known constraint and one branch that is difficult to check.
- Write the condition and expected behavior in plain language: which answer leads where, and what should happen when it does not match.
- Adapt the small example in the QubeScript quickstart to express that branch.
- Save it as
.qubeand open it in QubeSurvey extension. Resolve errors. - Run both the matching and non-matching paths. Compare the result with your written expectation and check a correction with Back.
Result: a constrained branch expressed in source and checked against both expected paths.
I am exploring a basic research question for a startup
Start with one decision and the group whose views would inform it.
- Write down the decision, the target group, and what you still need to learn.
- Use the tiny QubeScript sample as a prototype. Change only what is needed to ask your first questions.
- Run the prototype locally in QubeSurvey extension with invented answers.
- Review the wording for leading questions. Check that the target group is appropriate and decide how you would recruit them; the prototype does not establish either.
If you use an assistant you already have, under your own model and data settings, you can give it this brief:
I am deciding [decision] for [product or service]. The people whose views matter are [target group]. I need to learn [one or two unknowns]. Suggest three to five neutral draft questions for a short prototype, based on the QubeScript sample or study I provide. Mark assumptions and flag wording that could lead an answer. Do not claim the questions are validated or choose who to recruit. Return suggested wording only; I will review it and write or adapt the QubeScript source.
Treat generated wording as a draft, not proof of research validity. Review the wording, target group and recruitment plan yourself.
Result: a small question set and a human-reviewed plan for what to check next.
Continue with a Run
When you have a version to test in hosted fieldwork, follow Prepare your first survey. It covers hosted version testing, creating and activating a Run, submitting an invented response, and exporting the result.