Interpreting qualitative data
You'll learn how to interpret qualitative performance data and understand why subjective measures like customer satisfaction are challenging to measure and act on.
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In this lesson
- 0:00 Interpreting qualitative data challenges
- 1:11 Common biases in survey responses
- 2:59 Improving quality performance measures
- 4:16 VAT fashion retailer case study
- 6:03 Analysing customer satisfaction data issues
- 7:36 Identifying trends and seasonal patterns
About this lesson
This lesson explores the key difficulties: subjectivity and bias in responses, the limitations of aggregated scores that mask underlying issues, and the challenge of identifying actionable insights from non-financial data. You'll discover practical strategies to improve data quality—such as breaking measures into specific components, tracking trends over time, and combining qualitative feedback with quantitative analysis—and see how to apply these principles to real exam scenarios. This is essential for Performance Management and Strategic Business Leader papers, where you'll need to critically evaluate non-financial performance indicators and recommend improvements to measurement systems.
Duration: 9m
Transcript
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