Why Domandata

Our Case, In Our Words

Why Domandata Is Built for Conjoint Experiments

We make Domandata, so this is our argument, not a neutral comparison. Social-science conjoints, the kind analyzed with AMCEs and marginal means, need fully randomized profiles, a faithful record of what each respondent saw, and enough power for the levels you care about. We built our conjoint around that workflow instead of around market simulation.

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What our conjoint does

Randomized profiles without generated JavaScript

Attributes, levels, alternatives, and tasks are set in the editor, not pasted into a survey as code. Uneven level weights and prohibited combinations are settings, so the design you describe is the design that runs.

Build a conjoint
Every displayed profile in your data

The export carries the assignment information for every profile shown and the alternative chosen, whether the task appears as a table or a vignette, ready to estimate AMCEs or marginal means in R or Stata.

Export formats
The task features recent research recommends

A "None of these" opt-out that exports as its own value, fixed holdout tasks, and prohibited combinations for genuinely impossible profiles.

Task options
Balance across respondents

Balance level combinations across respondents, rather than leaving exposure entirely to chance, when the valid design space is small enough.

Conjoint design guide
Power before you recruit

Power planning detects a forced-choice conjoint and applies Schuessler and Freitag's analytic power calculation for AMCEs, so the sample target comes from your design rather than a rule of thumb.

Estimate sample size
Image levels and order controls

Levels can show a picture beside their text, and attribute and alternative order can be fixed or randomized per respondent.

Randomize rows and columns

When another tool is the better choice

We would rather lose a signup than have a study run on the wrong platform.

  • You want individual utilities, preference shares, or market simulation.

    That is hierarchical Bayes territory. Sawtooth Software, Conjointly, and Qualtrics Conjoint estimate utilities and simulate shares with built-in analysis; we export data for you to model. How to choose conjoint software

  • You need adaptive choice-based conjoint.

    Adaptive designs are a Sawtooth Software strength. We run fully randomized designs. How to choose conjoint software

  • You want AMCE estimates computed inside the survey tool.

    We export the realized design; estimation happens in R or Stata, for example with the cjoint package. How to choose conjoint software

Frequently Asked Questions

Is this page an objective review?

No. It is our argument for our own product, written by the people who build it. For guides that compare tools and point to alternatives where they fit better, see the Research Guides, which cite each vendor's own documentation.

Does Domandata estimate AMCEs?

Domandata plans power for AMCEs and exports every displayed profile and choice, but it does not estimate AMCEs itself. Researchers estimate them in R or Stata, for example with the cjoint package, from the exported data.

I already run conjoints in Qualtrics with the Conjoint Survey Design Tool. Why switch?

That workflow is free and well established, and it works. Its cost is maintenance: a Python program generates JavaScript that you paste into Qualtrics, and any change to the design means regenerating and re-testing it. In Domandata the design is a setting you can read, balance across respondents, power-plan, and export without code. Finish any study already in the field first.

Can I import a conjoint from Qualtrics?

Domandata imports Qualtrics .qsf files and flags custom JavaScript for review. A conjoint built with generated JavaScript in Qualtrics needs to be rebuilt as a Domandata conjoint question, which usually takes less time than maintaining the script.

Which plan includes conjoint?

You can build and preview a conjoint on the free plan. Fielding it, Flow logic, and exports need a paid plan; see Plans for current prices.

More of Our Case

Why Domandata

Our case for Domandata as survey software for social scientists, written by us, including the studies where REDCap, oTree, or another tool is the better choice.

Teaching Research Methods

Our case for Domandata Classrooms in research methods courses: student privacy, full features for every student, and Canvas grading, plus when you don't need us.

Dissertation Research

Our case for Domandata as dissertation survey software for graduate students: monthly plans, Qualtrics import, and analysis-ready data, plus when to use something free.

Preregistration and Replication

Our case for Domandata in preregistered survey research: instrument fingerprints, amendment logs, verification certificates, and replication packages with privacy checks.

Check Our Claims

Compare Platforms

Feature comparisons sourced from each vendor's documentation.

Research Guides

How-to guides for choosing tools and designing studies.