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

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"**

"Research AI Starter" is a launch support service that standardizes the entire survey data analysis process as a "prompt & operational flow." It maximizes the use of generative AI tools like Copilot, Gemini, and ChatGPT, which are widely adopted by many companies, to design the desired survey data analysis business process as an AI-driven workflow for customers.

The deliverables include an "Analysis Workflow Diagram" that organizes what data to input, how to organize and integrate it from what perspectives, and how to connect it to final decision-making and policy consideration throughout the entire analysis process, as well as an "Analysis Manual" summarizing detailed procedures for practical operation.

**Connecting to Results: Three Features of "Research AI Starter"**

1. Not providing AI tools, but providing hands-on support for customers to master their existing AI tools.

2. Not just creating prompts, but verbalizing and formalizing an entire series of analysis processes.

3. Not a one-off outsourced task, but delivering an analysis manual to enable customers to operate independently.

**Strengths of Cross Marketing's Support**

Analyzing survey data with AI requires not only an understanding of generative AI tools but also expertise as a research professional. Survey data involves unique aggregation methods and numerical judgments, making it essential to assign meaning to numbers based on the survey background and objectives. Since its founding in 2003, the Company has cultivated expertise in survey design, analysis, and reporting through its marketing research business. Furthermore, research and development for AI analysis of research data is entirely internalized, with in-house engineers continuously studying generative AI tools such as Copilot, Gemini, and ChatGPT, which are updated monthly. Based on this knowledge and track record, we organize the multilayered and complex requirements of research data and verbalize and formalize them into an AI-operable analysis process.

Insights required in practice are not always limited to survey data. Combining sales/POS data, word-of-mouth data, public statistical data, past reports, and internal problem information leads to more decision-making-friendly insights. The Company provides end-to-end support, from designing analytical processes that handle multiple data sources to building practical AI analysis workflows tailored to business environments and utilization levels, and formalizing them into operational manuals.

**Recommended for:**

* Those who want to utilize generative AI for survey data analysis but are not getting the expected insights or outputs. * Those who want to combine survey data with sales/POS data, word-of-mouth data, etc., to gain more practically useful insights. * Those who want to prevent the individualization of analysis work and establish reproducible analysis processes within their team. * Those who want to integrate their already introduced generative AI into the practical workflow of survey operations.

**Service Page**

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