Design, generate, and analyze conjoint studies with EDSL.
npx skills add https://github.com/expectedparrot/ep-skills --skill conjoint-study
Please help me install this Agent Skill. Skill: conjoint-study Source: https://github.com/expectedparrot/ep-skills/tree/main/plugins/edsl-research/skills/conjoint-study Command: npx skills add https://github.com/expectedparrot/ep-skills --skill conjoint-study
This Skill automates the complex process of designing, executing, and analyzing conjoint analysis studies, enabling researchers to understand consumer preferences and trade-offs without deep statistical expertise.
Survey, ScenarioList, AgentList, Makefile) for running the study.Use the conjoint-study skill to design a study about streaming service preferences, starting with the research question "What features matter most when choosing a streaming service?".
High-intent search queries and answers about installing and using this skill.
You can design a choice-based conjoint study by defining attributes and levels, setting experimental parameters, and generating EDSL project files including Survey, ScenarioList, and AgentList for automated execution and analysis.
Part-worth utility estimation calculates the value consumers place on individual product attributes. This Skill analyzes conjoint study results to estimate these utilities and attribute importance, generating reports and visual charts.
Yes, conjoint analysis can collect responses from simulated agents. The Skill generates an EDSL AgentList to simulate respondents, enabling you to gather choice-based conjoint data and estimate preferences without human survey deployment.
Yes, it supports respondent segmentation and market simulation. The Skill includes helper scripts that enable you to segment simulated respondents and run market simulations based on estimated part-worth utilities.
Running a conjoint analysis study requires EDSL project files including Survey, ScenarioList, AgentList, and Makefile. The Skill automatically generates these components to execute your choice-based design and collect preference data.
Use conjoint analysis for market research when you need to understand consumer trade-offs and feature valuation. It is ideal for determining which specific product features, such as price or battery life, drive preference in new product development.
scdenneyDiagnose conjoint studies using a systematic checklist covering design, estimation, and validity.
expectedparrotGenerate conjoint analysis reports with part-worth utilities and attribute importance charts.
expectedparrotGenerate a Python script defining Survey, ScenarioList, and AgentList from free-text study descriptions.
NeuroAIHubSelect DDM, LBA, or EZ-diffusion models for choice response-time data.