Discussion – Forecasting for New Product Launch
Forecasting is important when launching a new product because it helps determine whether the idea of introducing the new product is feasible. According to Georgoff & Murdick (1986), the main forecast techniques include counting, judgment, and time series forecasting. The forecasting methodology selected for the new product launch forecasting is the counting methods forecasting. This forecasting methodology is the best match for our situation because it allows the researcher to get insight into the anticipated demand for the new product based on the results of the market testing, industrial market survey, and consumer market survey. The counting method was also selected to help the researcher understand trends that could impact the product’s demand by assessing the industry market and potential customers’ purchase intentions. However, this methodology shows a weak fit in cost and time because market surveys are expensive and time-consuming. Substantial fluctuations in customer behaviour may also limit the accuracy of the forecast. However, these weaknesses will be addressed by issuing surveys online to get a wide range of information that can be used to settle on a reasonable conclusion at a limited cost. The surveys will be issued through social media platforms twice a month to reach may potential customers. The results of the surveys will then be used to adjust the current product to ensure that it meets customers’ expectations. Table 1 below summarizes the selected forecasting method.
Category |
Dimension |
Questions |
Answer to the Questions |
Time |
Span |
Is the forecast period a present, short/medium, or
long-term projection? |
Short/medium term |
Urgency |
Is the forecast needed immediately? | Yes. The forecast is needed immediately to determine whether the product should be altered to meet demand before launching it. | |
Frequency |
Are frequent forecast updates needed? | Yes. Frequent forecast updates are needed to determine changes in customer behavior and demand for the new product. | |
Resource |
Math skills |
Are quantitative skills limited? | No |
Computer |
Are computer capabilities limited? | No | |
Financial |
Are only limited financial resources available? | Yes | |
Input |
Antecedent |
Are only limited past data available? | No |
Variability |
Does the primary series fluctuate substantially? | No | |
Internal consistency |
Are significant changes in management decisions expected? | Yes. Changes may be made based on the availability of resources and participation of the potential customers in the surveys. | |
External consistency |
Are significant environmental changes expected? | Yes. Significant environmental changes such as changes in economic conditions are expected. | |
External stability |
Are significant shifts expected among variable relationships? | Yes. Shifts are expected in the relationship between the demand for the new product and cost of similar products. | |
Output |
Detail |
Are component forecasts required? | Yes. Component forecasts are required to determine the expected demand for the new product. |
Accuracy |
Is a high level of accuracy critical? | Yes. A high level of accuracy is needed to determine whether launching the new product is feasible. | |
Capability for reflecting direction changes |
Should turning points be reflected properly? |
Yes. Turning points should be reflected properly to determine the actual anticipated demand for the new product. | |
Capability for detecting direction changes |
Should turning points be identified early? |
Yes. Turning points should be identified early to determine whether there is a need for changing the product to meet demand. | |
Form |
Is an internal or probabilistic forecast critical? | Yes. An internal forecast is critical to get a clear picture of the market for the new product. |
References
Georgoff, D. M., & Murdick, R. G. (1986). Manager’s guide to forecasting. Harvard Business Review, 64(1), 110–120.
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Question
This discussion is based on the article, “Manager’s Guide to Forecasting” by David Georgoff and Robert Murdick from Harvard Business Review which is accessed from the PG Library. Make sure to read this article before starting the discussion.
Discussion – Forecasting for New Product Launch
Georgoff, D. M., & Murdick, R. G. (1986). Manager’s guide to forecasting. Harvard Business Review, 64(1), 110–120.
In this course, you will touch on a few forecasting methods, although there are many more approaches available to those managers who wish to do more. This week’s article provides an overview of many forecasting methodologies and provides a framework through which you can explore their differences.
Your objective in this discussion is to learn to analyze a specific forecasting situation and identify the best suited methodology. You will complete three steps.
Step 1: Describe a specific forecasting need in your organization.
Step 2: Use the provided table below to analyze the requirements of the forecasting need you have.
Step 3: Identify the best matching forecasting methodology to your situation and describe how it would be executed.
In Step 2, the analysis will be based on the table shown on pages 4 and 5 of the article. This table lists several questions about the nature of the forecasting situation, such as the urgency, detail required, and costs factors, and provides an overview of how well various forecasting methodologies will fit those requirements. For example, some forecasting methods cost more than others and depending on your financial resources, some of them may not be suitable. The same holds true with the math skills available or the need for high accuracy. So, understand what each category is referring to, fill in the information, and follow the table to see which methodology is recommended for your specific case. You are learning how to analyze your situation so as to pick the best approach. Please note that these 2 pages in the article (pages 4–5) go side by side. You may wish to print them out and place them next to each other to read across the rows comfortably. The table shown below is based on the table in the article. Also note that many of the squares are shaded light or dark grey to show strength or weakness in each category.
Full instructions on how to use the table are in the second column of page 6 in the article.
Please use the template below in your answers so everyone can easily follow your answers to all the questions (copy and paste to your post).
Use this format for your Unit 7 Discussion.
Forecast need
Describe what question this forecast aims to answer, and why it is important for your organization to have this information.
Forecast situation analysis
Identify a forecast method by filling in the table below. The full table is on pages 4–5 of the article. You should fill in the table by answering the questions in the “Questions” column. Your answers will lead you to the methods that are most suitable for your forecasting need. The ideal fit will give you a strong match to your answers in the “output” section of the table, while still meeting the conditions in the “time,” “input,” and “resource requirements” sections.
(I ATTACHED A PDF OF THE TABLE)
Recommendations
This is where you describe your selection and demonstrate your understanding, so answer all questions fully.
Answer the following:
Which forecasting methodology listed in the article is the best match to your situation?
In which categories is the methodology showing a good fit (in other words, why did you select this methodology)?
In which categories does this methodology show a weak fit?
Describe how this forecast will be executed: Who will do it, where will the data come from, how frequently will it be repeated, and how will the results be used?