1.IPA analysis is a commonly used data analysis method, which is mainly used to study consumers' attitudes and behaviors towards a product or service. Using IPA analysis method can help researchers better understand consumers' needs and expectations, thus providing basis for the improvement of products or services.

The second is to clarify the research purpose and problems. In the thesis, the research purpose should be clear and related to the research problem. The research questions should be specific and clear around the research purpose. For example, if the purpose of the research is to understand the consumer's satisfaction with a certain mobile phone, then the research question can be: which aspects of a certain mobile phone satisfy consumers the most and which aspects are the most dissatisfied.

Third, data collection and analysis. Data can be collected through questionnaires, interviews and observations. After collecting data, IPA analysis method can be used for analysis. IPA analysis can divide consumers' attitudes and behaviors towards products or services into four quadrants, namely:

1, importance and satisfaction: These aspects are considered very important by consumers, and they are satisfied with products or services and need to be maintained and strengthened.

2. Important but dissatisfied: These are the aspects that consumers think are very important but dissatisfied with the current products or services and need to be improved.

3. Not important but satisfied: These are the aspects that consumers think are not important but are still satisfied with the product or service and can maintain the status quo.

4. Indifference and dissatisfaction: These aspects are considered unimportant by consumers. If they are dissatisfied with the current products or services, they can ignore or reduce their investment.

The method of writing a good paper

1. Determine the research question: First of all, know what the research question is and its importance in the academic field. The research questions should be clear and targeted, which is convenient for subsequent literature review and experimental design. Consult the relevant academic literature, understand the existing research achievements and shortcomings, find the gaps and breakthroughs in the research, and provide the background and basis for your own research.

2. Design experiment or investigation: According to the research questions and the results of literature review, design the corresponding experiment or investigation scheme. The design of experiment or investigation should be rigorous, scientific and feasible, and can effectively answer research questions. Conduct experiments or surveys, collect data and analyze them. Data analysis should be based on statistical principles and methods, which can accurately reflect the results of experiments or investigations.