I like that the Voxco Survey Platform supports precise screening of survey subjects based on the characteristics of the target audience. For example, when designing high-end fashion products, I can set the survey subjects to be people with a certain spending power and an interest in fashion trends, thereby obtaining targeted feedback on their evaluation of the fashion sense and quality of competing products. These features provide strong informational support for me in creating designs that meet the needs of the target audience.

I like the true omnichannel survey distribution that Voxco Survey Platform offers, as it eliminates audience bias by reaching hard-to-access segments. I also find the integration with tools like Tableau and Power BI very useful, allowing me to export survey data in optimized formats or use Voxco's API to build real-time dashboards. The initial setup of the platform was relatively simple for me.

I like the flexible and diverse survey creation features of the Voxco Survey Platform, especially the drag-and-drop scripting tool, which allows for the quick construction of complex questionnaires through simple drag-and-drop operations. This makes questionnaire design easier, without the need for complex programming knowledge, and enables personalized survey processes. The platform offers a wide range of question types and customization features to meet various survey needs. I also appreciate its powerful multi-channel data collection capabilities, covering online, mobile, SMS, and telephone channels, ensuring that different target audiences can be reached, and allowing for the integration and management of data from different channels to maintain data consistency and coherence. Voxco's sample management system is also very precise, with a rich sample library and efficient filtering functions, allowing for real-time management and adjustment of samples to ensure the scientific and representative nature of the survey. Additionally, text analysis features like Ascribe CX Inspector use sentiment analysis to quickly summarize key information from large amounts of text data, reducing the cost of manual analysis and improving the efficiency of data collection and analysis.