There has been much in the press in recent years about market research losing its place in the boardroom. Most notably from Unilever who say that their senior managers are unwilling to invest time attending research debriefs. An ESOMAR survey also adds that most CEOs consider market research less useful than finance, marketing, information services and human resources (1). A further BCG survey suggests that market research users seem in denial about their lack of relevance (2). Criticism is also made by major research agencies (3).
Some say researchers lack the ability to integrate information, fail to connect research results with business outcomes and fail to turn complex data into clear narratives (3). Problems result from less than robust data collection, market research analysis and strategic interpretation. All trace to research methods used and the skills of the people involved. Concise presentations and explanations help but not if they result in more questions than answers particularly ‘so what?’.
Reliable data underpins good market research analysis
Triangulation is a mainstay market research method. The idea is that using two or more methods in a study gives more confidence in the results. Denzin defines four basic types of triangulation. First, methodological triangulation. This involves using multiple research methods to gather information, such as interviews, observations, and documents. Second, data triangulation which involves multiple time periods and respondents. Thirdly, investigator triangulation which involves multiple researchers. Finally, theory triangulation which involves using multiple analytical methods or models (4).
Bricolage is a term used to describe multiple or multi-perspectival research methods; also a way to learn and solve problems by trying, testing and playing around. It avoids the reductionism in any single method (monological) and mimetic research approaches (5 and 6). It enables more deductive reasoning (in which a conclusion is based on the concordance of multiple premises) and produces more comprehensive and specific insights.
Market research analysis requires experience
Qualitative research data is usually unstructured so a key challenge is to manage, shape and make sense it. The most common qualitative market research analysis method is observer impression. Computers and software offer a repository and tools to classify, sort, and arrange information. Though computers and software fail to think and human skill must spot themes, patterns, and uncover insight.
Skills and knowledge lie with the observer and analyst. For life stage and economic reasons, fieldwork and analysis tasks often fall to younger, less experienced researchers. While many are graduates, experience is acquired mainly on the job. Understanding both the research discipline, business world, and how to apply learnings to business takes time.
Thinking tools enable more rigorous analysis
Within qualitative research, employing simple numerical scoring (or semi-quantitative) techniques helps give weight to findings. Thus sort the ‘wheat from the chaff’. For example, by asking respondents to independently select the most appealing communication idea from a gallery or to rate a new product or service concept on a scale from ‘will definitely buy’ to ‘will definitely not buy’. This reduces reliance on subjectivity (interpretivism) (7) and adds scientific rigour to qualitative research i.e. objectivity (empiricism, positivism). Thus you’ll spot differences in meaning and in relative customer appeal more readily. In turn this spotlights key issues and opportunities and ‘outliers’ (8) that demand more detailed investigation.
Manchester map for market research analysis
Probing and testing cause and effect relationships also ensures more robust analysis. The ‘Manchester Map’ is a useful technique learned in management consulting days. This involves systematically reviewing findings and asking ‘so what does this mean?’ or ‘why does this happen?’. It helps sort and delineate information. Thus enabling clearer understanding and articulation of findings and conclusions.
Basic ‘marketing’ provides a structure for market research analysis
Every marketer knows that customers have needs and seek products and services that offer benefits that match their needs. So to design products and services, researchers must first understand needs, and the drivers behind those needs. Only then can product benefits be matched to meet those needs. This simple marketing logic helps challenge and analyse market research findings. It is therefore vital that researchers understand basic marketing principles in order to analyse and interpret findings. In addition, a broad and deep knowledge of a businesses’ aims, possible business and marketing strategic options, and product, communication, and brand elements, allows broader and more penetrating enquiry. In turn inspiring more insightful, relevant, meaningful, beneficial and actionable findings and conclusions.
- Market research has a place in the boardroom – the most successful businesses are those that truly understand their customers. Market research ensures their voice is heard.
- Ensure your research works hard. This starts with writing a clear market research brief. Include your business objectives not just want you want to know and seek several responses to your brief.
- Conduct due diligence. Meet the researchers who will do the work. Also ask them what they know about your business and how they conduct and analyse research.
- Demand a curious, diligent, business and marketing savvy researcher. This is one able to ask questions to truly understand causes and effects. Also able to draw conclusions and recommend practical solutions to help you.
1. Esomar Research World / ARF (2005)
2. Boston Consulting Group (2009)
3. Does Market Research Need inventing? www.InspectorInsight.com (2014)
4. Denzin, N. Sociological Methods: A Sourcebook. Aldine Transaction (2006)
5. Kincheloe, Joe. L. Berry, Kathleen, Rigour and Complexity in Educational Research (2005)
6. What is Mimetic Theory? www.woodybelangia.com
7. Interpretivism (or antipositivism) is a view that social research should not be subject to the same methods of investigation as the natural world. Gerber, John J. Macionis, Linda M. Sociology (7th Canadian ed.) page 32 (2010)
8. An ‘outlier’ or outlying observation deviates markedly from other members of the sample in which it occurs. Grubbs, F. E. “Procedures for detecting outlying observations in samples”, Technometrics 11 (1): 1–21 (February 1969)