GenerativeConjoint review
An open-source conjoint workflow with flexible design generation and basic results reporting.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
GenerativeConjoint is an open-source platform for researchers who want to design and deliver conjoint surveys, particularly those willing to run software on their own infrastructure. Its workflow covers attribute and level setup, study design, participant delivery, and utility estimates. Deployment is available through cloud or self-hosting, and the published details identify fit for solo, small, and mid-market research teams.
Design generation is the product’s central strength: researchers can create standard or blocked conjoint designs, including D-optimal designs generated with coordinate exchange. Stimuli can be tabular, LLM-generated text, or AI-generated images. The guided wizard supports attributes, levels, descriptions, and LLM hints; AI generation requires an OpenAI API key. Once a study is ready, participant URLs support delivery, with options for randomizable attribute order and response-time tracking. This makes it a focused choice for teams seeking control over conjoint setup and stimuli rather than a broad market-research suite.
Results include completion statistics and part-worth utility estimates, while a ZIP export bundles responses, design, stimuli, prompts, and an R starter script for reproducible follow-up work. Collaboration is supported through owner and collaborator roles, and the listed integrations are OpenAI API and ORCID OAuth 2.0. The trade-off is a narrow workflow: reporting is basic and there is no participant panel access. Self-hosting also calls for a Python environment. Choose GenerativeConjoint when open-source design control and exportability matter; researchers who need built-in panel sourcing or deeper reporting should consider another tool.
GenerativeConjoint pros and cons
- Where it wins
- Generates standard, blocked, and D-optimal conjoint designs
- Supports tabular, generated-text, and AI-generated image stimuli
- Exports responses, designs, stimuli, prompts, and an R starter script
- Where it doesn't
- Self-hosting requires a Python environment
- AI stimulus generation requires an OpenAI API key
- Reporting is basic and there is no respondent panel access
GenerativeConjoint fact sheet, pricing and score →
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