Greetings to a member of this dynamic team! I am honored to present before you an informed view of the adequacy of the sample to be used in decision-making in the marketing plan for the company products survey. Before engaging in this challenging task, I began by asking myself the criteria for designing a marketing sample methodology and various approaches that would minimize biases and excessive assumptions in decision making as was requested. This is what I found out.
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In order to make a comprehensive decision in a marketing plan using a sample design, it is important to factor in the aspects of the category of employee, nature of responsibility, company goals, and action plans that are put in place. Thus, a comprehensive and all-inclusive sample plan should incorporate more than one shift of more than one employee. In a practical sense, this plan should introduce the aspect of performance of a sample space of employees within one department as a comparison of the other in another department who are subjected to the same conditions of work. To achieve this, I opine that quantitative and qualitative data should be fused to form the basis of drawing an analysis. This suggestion is informed by the need to limit biasness since qualitative analysis has tools for testing data accuracy and managing assumptions made within the reasonable limit of accuracy.
In addition, I suggest that the sampling plan should be made for the two shifts in a snowball sampling criteria to minimize biasness on the side of the sampler who might have a preference for a subject in the sample space. When properly integrated, it is in order to scientifically quantify the authenticity of the process since the testing procedure and balancing of the results will yield desired results against the backdrop of a null hypothesis or an original assumption. From these facts, I strongly disagree with the sampling criterion that was used in the initial sampling plan and may not represent the true picture of the activities on the ground. To begin with, the sampling plan only considered a single employee and concentrated on only one shift despite the existence of two shifts. Besides, this sample plan was nonrepresentative of the company’s labor population as it is likely to be biased since the results generated are from a single sampling unit with a sample space of one. Moreover, an adaptation of this sample plan as authentic would compromise the aspect of comparative study in decision making; that is, it does not give room for comparison to another set of data.
Therefore, in my opinion, this sample chosen for the survey may not present clear, scientific, and verifiable criteria for making a decision in the dynamic marketing scene. Putting into consideration the above flaws, I would recommend the team to adopt a more representative sample space chosen randomly within a specified interval and incorporate more than one employee for all the shifts in the company. Reflectively, this will permit comparative research, especially when the qualitative design is adopted to give room for testing accuracy and a degree of biasness (Marsden & Wright, 2010). Generally, the decision-making process is a science that reviews different aspects of a phenomenon before the adoption of a quantifiable approach. Should the company adopt my suggestion, I am sure the survey will be a success and a true representation of the subject of the study.
Marsden, P., & Wright, J. (2010). Handbook of Survey Research. West Yorkshire: Emerald Group Publishing.