Free Research Survey Software With Built-In Statistics and Graphs
Use free research survey software for questionnaires, randomized experiments, conjoint tasks, text analysis, statistics, and standard graphs in one workflow.
The Short Version
Use free research survey software for questionnaires, randomized experiments, conjoint tasks, text analysis, statistics, and standard graphs in one workflow. A practical way to begin is to choose a questionnaire, survey experiment, conjoint study, or combined design based on the decision you need to make, then build consent, pre-treatment questions, skip logic, treatments, outcomes, and conjoint tasks in the same instrument. Finish by making sure you upgrade only when the next step requires downloadable data, reproducible scripts, publication figure controls, panel workflows, coauthors, AI Help, or larger fielding. The full walkthrough below explains each part in order.
Is This Guide for You?
Researchers and small organizations that need methodological depth but want to avoid stitching together a form builder, randomizer, sentiment tool, and spreadsheet analysis.
Follow These Steps
Work through these 6 steps at your own pace. The wording is intentionally practical, and you can return to the checklist at the end when you are ready to review your work.
- Choose a questionnaire, survey experiment, conjoint study, or combined design based on the decision you need to make.
- Build consent, pre-treatment questions, skip logic, treatments, outcomes, and conjoint tasks in the same instrument.
- Use editable examples and synthetic testing to learn the workflow without spending real responses.
- Publish and collect responses within the 2,000-response Free account allowance.
- Inspect effects, confidence intervals, full-model conjoint results, text metrics, quality flags, balance checks, and standard graphs in Results.
- Upgrade only when the next step requires downloadable data, reproducible scripts, publication figure controls, panel workflows, coauthors, AI Help, or larger fielding.
What This Helps You Accomplish
Low software cost should not require a fragmented research process. Keeping design, randomization, fielding, quality checks, quantitative text analysis, and in-app results together reduces transcription errors and makes it easier to understand what each estimate came from.
A Quick Confidence Check
- Method matches the research question.
- Instrument previewed.
- Synthetic results checked.
- Quality rules documented.
- Response allowance monitored.
- Production deliverables identified.
Common Questions
Can I use this guide if I am new to this?
Yes. Researchers and small organizations that need methodological depth but want to avoid stitching together a form builder, randomizer, sentiment tool, and spreadsheet analysis. Follow the steps in order, start with a small test, and use the final checklist before you field or report anything important.
What is the simplest way to get started?
Begin by choose a questionnaire, survey experiment, conjoint study, or combined design based on the decision you need to make. Next, build consent, pre-treatment questions, skip logic, treatments, outcomes, and conjoint tasks in the same instrument. You do not need to perfect every setting before running a small preview or pilot.
How do I know when I am ready?
Use the confidence check above. In particular: Method matches the research question. Instrument previewed. Synthetic results checked. Quality rules documented. When the decision is consequential, keep your study documentation and ask a qualified colleague or methods reviewer to examine the design as well.
Related Guides
Research artifact: sample data, codebook, and scriptsResearch Pathways
Product names and fielding platforms mentioned in this guide belong to their respective owners. Conjoint Survey is an independent academic research tool and is not affiliated with, sponsored by, or endorsed by those services.