Market research data — common mistakes

In your exam answers, when suggesting market research, don't just state 'use a survey'. Specify that a large-scale survey with closed questions would be used to gather quantitative data on, for example, customer purchasing frequency. This demonstrates a deeper understanding.

When evaluating a business decision, use qualitative data to explore the potential impact on brand image or customer loyalty. Suggesting a focus group to understand customer feelings shows you can think beyond simple numbers and consider long-term strategic factors.

A common mistake is to misrepresent data. For example, using a pie chart to show trends over time is incorrect; a line graph should be used. Showing awareness of the correct presentation method for different data types will earn you credit.

In evaluation questions ('To what extent...', 'Discuss...'), suggesting triangulation is an excellent way to demonstrate higher-level thinking. Argue that while one research method provides useful data, a more reliable conclusion could be reached by triangulating the findings with another method.

No, this is a common misconception. Neither is inherently 'better'; they serve different purposes. Quantitative data is excellent for identifying trends and patterns on a large scale (the 'what'). Qualitative data is essential for understanding the reasons, emotions, and context behind those numbers (the 'why'). The best research often uses a combination of both.

Not necessarily. While a large sample size is important for quantitative research to be generalisable, the sample must also be representative of the target population. If the sample is biased (e.g., surveying only wealthy customers for a mass-market product), the results will be inaccurate regardless of the sample size. The sampling method is just as important as the sample size.

It would be very risky. A focus group provides rich qualitative insights but from a very small, non-representative group of people. The opinions expressed may not reflect the wider market. While the findings are valuable for understanding potential issues or generating ideas, they should not be the sole basis for a major decision. The findings should ideally be tested or verified using quantitative research or triangulated with other data sources.