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June 13, 2026·Faq·Minds Team

# **How to Use Synthetic Consumers Before Conjoint Analysis**

Use synthetic consumers before conjoint analysis to choose better attributes, claims, segments, and survey language before fielding real respondents.

Synthetic consumers are useful before conjoint analysis because most conjoint mistakes happen before the model is built. Teams choose attributes too early, include levels that consumers do not understand, or write product descriptions in internal language. A synthetic panel gives you a fast rehearsal before you spend time and budget on real respondent fielding.

The clean workflow is simple: use Minds to explore the question, then use conjoint analysis to quantify the final trade-offs. Minds helps with hypothesis generation, language testing, segment exploration, and objection mapping. Conjoint analysis helps once you have a disciplined attribute set and need more formal preference modeling.

## Pre-conjoint workflow

1. Define the product decision in plain language.
2. Create 3 to 5 target consumer segments in Minds.
3. Show each segment the product concept, positioning, package, or offer.
4. Ask what they notice first, what feels valuable, what feels confusing, and what would stop them from buying.
5. Extract repeated attributes, benefits, objections, and words consumers use naturally.
6. Remove attributes that synthetic consumers consistently ignore or misunderstand.
7. Turn the strongest signals into a tighter conjoint questionnaire.
8. Run the final survey with real respondents if the decision requires formal quant evidence.

## What to take into conjoint

The output should be practical: a shortlist of attributes, clearer attribute levels, sharper segment definitions, better product descriptions, and hypotheses worth quantifying. Do not take every simulated quote literally. Look for repeated patterns across segments.

For example, a beverage team might begin with internal attributes such as brewing method, origin story, ABV, packaging, and price. Synthetic consumers may reveal that casual buyers barely understand brewing-method language, but react strongly to freshness cues, drinking occasion, bottle design, and whether the beer feels appropriate for a beer garden or dinner setting. That changes the conjoint design.

## Related reading

- [AI Consumer Simulation vs Conjoint Analysis](https://getminds.ai/comparison/ai-consumer-simulation-vs-conjoint-analysis)
- [What is Conjoint Analysis Simulation?](https://getminds.ai/glossary/what-is-conjoint-analysis-simulation)
- [Minds vs Quantilope](https://getminds.ai/blog/minds-ai-vs-quantilope)
- [AI Pricing Research Tools](https://getminds.ai/blog/ai-pricing-research-tools-2026)

[Try a synthetic consumer panel](https://getminds.ai/?register=true).