Qualitative approach for Apple iPhone


Our qualitive approach for Apple’s iPhone will give consumers a way to voice their opinions. More times that not, consumers do not feel heard when it comes to their favorite global brands. Surveys online or over the phone after using customer service is not ideal for what we want to do. The qualitive approach that we are using provides questions that act as a catalyst for the consumer mind. Opened ended questions through focus groups as well as interviews allow different ideas to come to fruition regarding the iPhone. Allowing negative feedback to be brought into perspective could also help the company and its pricing scheme. Although there are multiple competitors Apple has to compete with when it comes to smartphones, ideally seeing what the consumer would think is worth it for the price will give an idea of what direction we should be going in. Negative feedback about the price and what comes with it will allow a more well rounded perspective on the pricing situation and allow us to reevaluate a better plan to become more dynamic and encompass all costs and potential profits while not allowing the consumers to feel like they are being taken advantage of.

Using a Web-based form to enter data is a major development in the remote entry. Remote entry is now much easier. Due to increased internet connectivity and the ability to enter data directly into a central database, this method has become increasingly popular for gathering data. It also reduces the reliance on specialized data entry equipment. It’s possible to use several more classic approaches for inputting responses like textboxes, checkboxes, and dropdowns on a website using only a web browser when that allow for real-time editing of responses as they’re being submitted (Granello & Wheaton, 2004). It is still challenging to acquire correct data, despite multiple instruments and ways evolving substantially over time. Developing techniques to collect data for research reliably is a common difficulty among epidemiologists, especially when several study sites or data collecting is done off-site (Swartz & Hancock, 2002). Most of the time, it’s a multi-step process that begins with creating a paper questionnaire and ends with making electronic versions of the questionnaire that may be used to enter results into databases for additional analysis. If the questionnaire is presented in different languages, the process becomes considerably more difficult.

Question 2

Recommend sampling procedures for the implementation of the instruments.

A complicated questionnaire in many languages was required to complete study participants in remote areas to gather data. A total of 135 questions with a potential response set of 1407 were included in the first year’s questionnaire. A comparable questionnaire and process were devised for Year 2 that featured skip patterns based on survey participants’ answers to specific questions. Due to the research’s focus on a specific market segment, participants were asked, after providing basic demographic information, whether they had used Apple products in the previous nine months or not. Each participant was given several questions to answer regarding their various smart devices. A database data table was automatically generated as responses were entered into it in the preferred language of the respondents (Kundu & Chakraborti, 2020). We created a database in our SQL server to store questionnaire data to create a system where questions and answers could be used for various purposes. These attribute values affect bolding or italicizing text or highlighting certain information in specific colors. Data tables that record inquiries and responses contain these settings. Then we constructed a web form in Microsoft ASP.Net so our questionnaire creators would add and handle a set of questions online. We improved our system even further by using ASP.Net code. Then and crosstab reports from the questionnaire and creating coding files that could be used in commercial statistical software to undertake more complex statistical analysis (Kundu & Chakraborti, 2020). The was written to build an Access database linked to create Access data entry forms that replicated the , allowing us to meet our Microsoft Access requirements (Granello & Wheaton, 2004). To manage data and generate different types of reports utilizing Access reporting tools, we will use Access resources (such queries, forms, reports, and modules) that provides access. This can be used for various research studies if internet connectivity is available, and data are input by respondents.

Pricing should be dynamic to keep Apple competitive in the market. To maximize the effect and media coverage of this, the best time to do this would be before the major holidays at the end of the year. To suddenly announce that Apple will begin competitively pricing its products for the first time will dramatically raise the consumer hype for sales. Many consumers go to resellers and retail partners to buy Apple products at a discount that normally they wouldnt get and now they will have reason to come into Apple Stores directly and will increase traffic in both its stores and online. The last quarter of the calendar year include the biggest holidays, Thanksgiving, Black Friday, Christmas, and New Years. Implementing the new pricing in time for these will maximize its effectiveness and acceptance by the consumer base.


Granello, D. H., & Wheaton, J. E. (2004). Online data collection: Strategies for research. Journal of Counseling & Development, 82(4), 387-393.

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