A client is using Text iQ to determine qualitative relationships across surveys. What methods can they use to maintain consistency in topic addition?

Using Text iQ to determine qualitative relationships across surveys involves managing topics effectively to ensure consistency in analysis. Importing topics and modifying queries allows the client to establish a structured approach to topic management.

When a client imports topics, they can leverage a previously established set of terms or themes that have already been identified and validated against past data or projects. This approach ensures that the client is building upon a foundation of recognized categories, enhancing the reliability of analysis and comparisons over time. After importing, they can modify queries to adapt to new data or shifts in focus without starting from scratch, allowing for a more efficient and organized method of topic management.

This workflow also contributes to maintaining a standardization across different surveys, as the same topics are reused, thus supporting comparability and trend analysis over time. The ability to modify queries after importing means that insights can continue to evolve based on fresh data while still adhering to a consistent topical framework.

The other options do not prioritize the maintainability and consistency that importing topics provides. Manual addition may lead to inconsistencies due to subjective input each time, while automatic syncing and generating summaries might not focus specifically on topic consistency, as they serve different purposes in analysis.