Final answer:
A data analyst uses the SMART methodology to create action-oriented questions that encourage change. These questions direct actions toward measurable and motivational goal achievement. Analytical intelligence is used to examine data for trends, and research questions guide data collection in quantitative research.
Step-by-step explanation:
A data analyst uses the SMART methodology for goal-setting, which encompasses creating objectives that are Specific, Measurable, Achievable, Relevant, and Time-bound. When describing a type of question that encourages change within the SMART framework particularly, it is appropriate to identify it as action-oriented. Such questions are designed to lead to direct actions that contribute to achieving the goal and facilitate change.
For example, a question like "How will we increase customer satisfaction by 20% over the next quarter?" is action-oriented because it implies the need for specific strategies and steps to achieve a quantifiable target within a set timeframe. This aligns with the 'M' in SMART, which stands for Measurable and Motivational, emphasizing the importance of having clear criteria for measuring progress and motivating action.
Additionally, when examining data to look for trends, the type of intelligence most utilized is analytical intelligence, as this involves logical reasoning and the ability to analyze information objectively. Furthermore, in quantitative research, a research question serves as the foundational element that guides the data collection process through surveys or interviews, often resulting in both qualitative and quantitative data.