Intro to Marketing Research: Reporting and Presentation - Structure of a Research, Report Executive Summary Problem Definition Methodology Findings Limitations Conclusions Recommendations Appendices

What It Is

A research report is a comprehensive document that presents the findings of a research study in a clear and organized manner. It typically includes an executive summary, problem definition, methodology, findings, limitations, conclusions, recommendations, and appendices. A classic example of a research report is the famous "Blue Ocean Strategy" study by W. Chan Kim and Renée Mauborgne, which used a combination of qualitative and quantitative methods to identify new market opportunities for companies. This study matters for marketing decision-making because it provides a framework for companies to differentiate themselves from competitors and create new market spaces.

Key Terms & Concepts

• Executive Summary: A brief overview of the research report that highlights the main findings and recommendations. (Example: A company's annual report may include an executive summary of their marketing research findings.)
• Problem Definition: A clear statement of the research problem or question that the study aims to address. (Example: A company may define a problem as "How can we increase customer satisfaction with our product?")
• Methodology: The research design and methods used to collect and analyze data. (Example: A survey research methodology may involve collecting data from a sample of customers using a questionnaire.)
• Findings: The results of the research study, including any data analysis and interpretation. (Example: A study may find that customers are more likely to purchase a product if it is priced at $20 rather than $30.)
• Limitations: The potential biases and limitations of the research study. (Example: A study may be limited by a small sample size or a lack of generalizability to other populations.)
• Conclusions: The overall conclusions drawn from the research study. (Example: A study may conclude that a new marketing campaign is effective in increasing sales.)
• Recommendations: The specific actions or decisions that are recommended based on the research findings. (Example: A study may recommend that a company invest in social media advertising to reach a younger demographic.)
• Appendices: Additional materials that support the research report, such as raw data, questionnaires, or technical details. (Example: A study may include an appendix with detailed technical specifications for a new product.)
• Reliability: The consistency of the research findings across different samples or measurements. (Example: A study may use a reliability coefficient to measure the consistency of customer satisfaction ratings.)
• Validity: The accuracy of the research findings in terms of what they are supposed to measure. (Example: A study may use a validity coefficient to measure the accuracy of a new product's features.)
• Type I Error: The probability of rejecting a true null hypothesis. (Example: A study may use a Type I error rate of 0.05 to determine the significance of a finding.)
• Type II Error: The probability of failing to reject a false null hypothesis. (Example: A study may use a Type II error rate of 0.20 to determine the power of a test.)
• Cronbach's Alpha: A statistical measure of the reliability of a scale or questionnaire. (Example: A study may use a Cronbach's alpha of 0.80 to measure the reliability of a customer satisfaction scale.)
• Regression Equation: A statistical model that predicts a continuous outcome variable based on one or more predictor variables. (Example: A study may use a regression equation to predict sales based on advertising spend and product features.)
• Sample Size: The number of participants or observations in a research study. (Example: A study may use a sample size of 1000 customers to estimate the population mean.)
• Descriptive Research: A type of research that aims to describe the characteristics of a population or phenomenon. (Example: A study may use descriptive research to describe the demographics of a customer base.)
• Exploratory Research: A type of research that aims to identify new insights or patterns in a population or phenomenon. (Example: A study may use exploratory research to identify new market trends.)

Common Misunderstandings

• Misunderstanding: An executive summary is a summary of the entire research report.
• Correction: An executive summary is a brief overview of the research report that highlights the main findings and recommendations.
• Misunderstanding: A problem definition is the same as a research question.
• Correction: A problem definition is a clear statement of the research problem or question that the study aims to address, while a research question is a specific question that the study aims to answer.
• Misunderstanding: A study's limitations are the same as its biases.
• Correction: A study's limitations are the potential biases and limitations of the research study, while biases refer to systematic errors in the research design or methods.

Quick Application / Identification

Scenario: A company wants to launch a new product and needs to determine the optimal price. The company has collected data on customer willingness to pay and has used a regression equation to predict sales based on price and other factors. What type of research is this company conducting?

Answer: This company is conducting descriptive research because it aims to describe the characteristics of customer willingness to pay and predict sales based on price and other factors.

Explanation: Descriptive research aims to describe the characteristics of a population or phenomenon, and in this case, the company is using a regression equation to predict sales based on price and other factors.

Last-Minute Revision

• A Type I error rate of 0.05 means that there is a 5% chance of rejecting a true null hypothesis.
• A Cronbach's alpha of 0.80 means that the scale or questionnaire is reliable.
• A regression equation predicts a continuous outcome variable based on one or more predictor variables.
• A sample size of 1000 customers is sufficient to estimate the population mean.
• Descriptive research aims to describe the characteristics of a population or phenomenon.
• Exploratory research aims to identify new insights or patterns in a population or phenomenon.
• A problem definition is a clear statement of the research problem or question that the study aims to address.
• An executive summary is a brief overview of the research report that highlights the main findings and recommendations.
• A study's limitations are the potential biases and limitations of the research study.
• A Type II error rate of 0.20 means that there is a 20% chance of failing to reject a false null hypothesis.
• A study's validity refers to the accuracy of the research findings in terms of what they are supposed to measure.
• A study's reliability refers to the consistency of the research findings across different samples or measurements.
• A regression equation can be used to predict sales based on advertising spend and product features.
• A study's sample size should be sufficient to estimate the population mean.
• A study's limitations should be clearly stated in the research report.
• A study's conclusions should be based on the research findings and recommendations.