Cross Marketing Launches "Research AI Starter" Service to Standardize AI Analysis Process for Survey Data

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Cross Marketing Inc. has launched "Research AI Starter," a new service supporting the utilization of generative AI in survey data analysis. It standardizes the AI analysis process, enabling any organization to obtain data-driven insights quickly and with assured quality.

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Cross Marketing Inc. has launched "Research AI Starter," a new service supporting the utilization of generative AI in survey data analysis. It standardizes the AI analysis process, enabling any organization to obtain data-driven insights quickly and with assured quality.

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Source: https://prtimes.jp/main/html/rd/p/000000762.000004729.html | Date: Date unavailable

Cross Marketing Inc. (Headquarters: Shinjuku-ku, Tokyo; Representative Director, President and CEO: Motoki Igarashi; hereinafter "the Company") will begin offering a new service, "Research AI Starter," to support the use of generative AI in survey data analysis. This service reconstructs the entire survey data analysis process currently performed by research and marketing departments into a workflow that leverages generative AI, and then formalizes it into an analysis manual. This supports the evolution of organizations where "anyone," "in a short time," "with assured quality," and "data-driven insights" can be obtained from survey data by following the analytical procedures. **Background: Growing interest in generative AI for research and the challenge of practical implementation** As the evolution of generative AI accelerates, there is growing momentum in research operations to "utilize AI for data analysis." A customer survey (n=115) conducted by the Company in February 2026 revealed that approximately 92% of companies have introduced some form of generative AI environment in their company or department, and about 83% of them have considered "applying AI to survey data analysis." However, only about 16% of companies have actually "integrated it into their business workflow," indicating that many companies, despite introducing or considering generative AI, are not fully utilizing it for practical survey data analysis. Challenges arise when directly feeding survey data into generative AI, such as hallucinations, responses limited to superficial generalities, and inability to achieve comprehensive insights that combine survey data with internal data, POS data, and word-of-mouth data. To obtain practical analysis results, it is necessary to ensure the data format is correctly readable by AI and to appropriately input the context—such as survey theories, survey intentions, and business background—in a way that AI can understand. **Overview of "Research AI Starter"** "

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