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This document introduces the analysis tool "Conjoint," which is essential for product planning and development. It includes questions for conjoint analysis and various research case studies. Conjoint analysis replicates consumers' thought processes when selecting products, measuring the trade-offs between product specifications, brands, prices, and how much each product feature influences product selection. [Contents] ■ What is Conjoint Analysis ■ Questions for Conjoint Analysis ■ Output of Conjoint Analysis (1) Quantification of Preferences ■ Output of Conjoint Analysis (2) Simulation ■ Research Case Studies *For more details, please refer to the PDF document or feel free to contact us.

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This document introduces a powerful research method called "conjoint analysis" for the development, renewal, and pricing of new products and services. It includes examples related to the maximum willingness to pay, such as the maximum willingness to pay for a white rice brand and the maximum willingness to pay for the "performance" of cordless vacuum cleaners. Please make use of this for research themed around pricing. [Contents] ■ What is Conjoint Analysis ■ What is Maximum Willingness to Pay ■ Example 1) Maximum Willingness to Pay for a White Rice Brand ■ Example 2) Maximum Willingness to Pay for the "Performance" of Cordless Vacuum Cleaners *For more details, please refer to the PDF document or feel free to contact us.

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This document serves as a guide for statistical analysis. It includes Quantification Type I, II, III, cluster analysis, PSM analysis, correspondence analysis, and paired comparison evaluation methods. At Plus One Research, we provide suitable research planning, actual surveys, aggregation, and analysis to clearly resolve research issues according to the theme. [Contents] ■ Quantification Type I: Creating predictive model formulas from qualitative data ■ Quantification Type II: Analyzing factors that differentiate groups ■ Quantification Type III: Scoring similarities between people and objects ■ Cluster Analysis: Grouping samples and variables ■ Correspondence Analysis: Creating positioning maps from cross-tabulation tables *For more details, please refer to the PDF document or feel free to contact us.

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