Group 1 - The core idea emphasizes the importance of questionnaire design in market research, stating that poor design can undermine data collection and analysis efforts [1][10] - The CDA Data Analyst certification is highlighted as a valuable credential that aligns with the trends of the digital economy and AI development, making it beneficial for job seekers [3][14] - Many companies prioritize CDA certification in their hiring processes, especially in technical roles within banks and financial institutions, indicating high industry recognition [6][14] Group 2 - Employment opportunities for CDA holders include roles such as data analyst in internet companies, technical positions in finance, business intelligence consultants, market researchers, and product managers [8][14] - The starting salary for positions requiring CDA certification is noted to be above 15,000, reflecting a significant industry demand [9][14] - The article outlines a structured learning path for effective questionnaire design, emphasizing foundational theory, case study analysis, tool proficiency, and practical application [11][12] Group 3 - Common pitfalls in questionnaire design are identified, such as leading questions, non-mutually exclusive options, and neglecting pre-testing, which can compromise data quality [13] - The CDA certification is recognized as a key to enhancing career competitiveness, especially for those with a background in market research and statistical analysis [12][14] - Long-term career development advice suggests that questionnaire design skills should be integrated into a broader business analysis capability, benefiting various roles in the future [15]