Once the data is collected, it needs to be analyzed to extract actionable insights. Here are some steps to follow:
Data Cleaning: Remove any incomplete or irrelevant responses to ensure data quality. Data Categorization: Group the data into categories for easier analysis. This could be based on themes, customer segments, or other relevant criteria. Identify Patterns: Look for recurring themes or patterns in the data. This can help in identifying common pain points or preferences. Hypothesis Formation: Use the insights gained to form hypotheses that can be tested in future research or pilot studies.