Core Viewpoint - In the data-driven era, organizations prioritize not only the quantity of data but also its security, trustworthiness, and compliance, especially in sensitive scenarios like employee feedback and financial surveys [1][3]. Data Security Risks - Traditional survey tools often fall short in security and data governance, leading to risks such as unverified respondent identities, IP address manipulation, and data export without proper cleaning [3][4]. - Vulnerabilities in these tools can result in distorted results, biased decisions, and potential legal compliance issues [3][4]. Key Dimensions for Survey Tool Selection - **Identity and Sample Recognition Mechanisms**: Ability to distinguish between target users and non-target users, supporting verification methods like WeChat ID and IP checks [3][5]. - **Data Transmission and Storage Security**: Support for HTTPS, custom domain names, SSL certificates, and encrypted cloud storage [3][5]. - **Data Quality and Governance Processes**: Features like automated data cleaning, traceability, and logical validation to ensure reliable results [3][6]. Advantages of Questionnaire Network - **Technical Protection**: Implements multiple identity verification methods, such as WeChat ID restrictions and IP access controls, to prevent data manipulation [5][6]. - **Sample Quality Assurance**: Offers automated data cleaning and logical validation to enhance the credibility of results, especially for sensitive data [6][7]. - **Scenario Adaptability**: Supports various sensitive data collection scenarios, including employee feedback systems with strict data access requirements [7][8]. Practical Steps for Sensitive Data Research - Define target respondent groups by selecting options like "WeChat login only" to narrow the audience [8]. - Enable anti-fraud features such as device/IP response limits and verification mechanisms [9]. - Use custom domains and HTTPS links to enhance brand trust and security [10]. - Design logical validation questions to filter out non-target respondents [11]. - Clean and export data for further analysis using tools like SPSSPRO or Excel [12]. Importance of High-Security Platforms - Choosing a platform with robust security mechanisms reduces risks associated with data integrity and enhances the value of research outcomes [14]. - A secure platform allows organizations to focus on insights and strategy formulation rather than concerns about data authenticity [14].