1) What do we do after collecting raw data? a) Analyze feedback b) Identify trends c) Present surveys d) Create charts 2) What is often found when analyzing large datasets? a) Raw data b) Clear insights c) Visualizations d) Unexpected trends 3) How should insights be presented to managers? a) Clearly b) Together c) Confusingly d) Randomly 4) How do we identify areas for improvement in customer service? a) Present charts b) Analyze feedback c) Collect data d) Create graphs 5) What type of decisions are made from analyzing feedback? a) Emotional b) Hasty c) Data-driven d) Random 6) What is created to present results to colleagues? a) Trends b) Visualizations c) Raw data d) Feedback 7) What do we do with large datasets? a) Delete them b) Analyze them c) Hide them d) Ignore them 8) What is the purpose of analyzing customer feedback? a) Reduce quality b) Ignore issues c) Improve service d) Create confusion

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