Other Types of Research This chapter is the qualitative research on the collection of user data. These data are subsequently (as described in the following) to construct a firm user and domain model, which form a key tool for integrated target directed design. Designers may be familiar with or use some other types of research, most of which are not suitable as design tools, but some of them have their use elsewhere. In this section, we will discuss several most prominent research methods, and how they work in overall development work.
Focus groups focus groups are methods of collecting user data from market organizations. In this approach, a typical user who meets pre-identified statistical types, allowing them to focus on a room and propose structured to them. A set of issues, and / or providing structured options. Meeting usually being recorded or recording with reference. The focus group is a standard technology in traditional product marketing. The first reaction used to determine the form of the product, visual appearance or industrial design. The focus group method can also be used to collect feedback after a product for a period of time. Although the focus group seems to provide a necessary user contact, it is not an appropriate design tool in many ways. The focus group is excellent in product information that makes people decide or hope (or unwanted) purchased, but it is very weak for collecting people actually uses products and how they do. As mentioned earlier, people will have trouble in the correct assessment of them and when they work: only by observing their behavior can be fully captured. Finally, the focus group, because it is a group activity, so it is tended to lead to the public: most opinions or the biggest opinions become a group's opinion. This is a curse for the design process, because the designer must understand all the different behavior patterns that the product must satisfy. The focus group method is just a variety of views that suffocate designers need to understand.
Market statistics and market segmentation marketing professionals spend a lot of energy guess to get people to purchase motives. One of the most powerful tools for this work is the market segmentation, and various people with distant demand determine the type of consumers will be acceptable for some kind of product or sales ad. Market workers classify consumers through demographic and geographic variables, such as age, ethnic, education, revenue, and region, the original data used is usually collected in conjunction with market surveys and focus groups. More professionals include psychology and behavioral variables such as attitude, lifestyle, value orientation, ideology, risk resist and decision mode. The classification system like SRI's Vals Segmentation (GEODEMOGRAPHIC Prizm Clusters (Weiss, 2000), which can make these data clearly by predicting consumer purchasing power, motivation, self-positioning and resources. These market modeling techniques can not only predict the market's acceptance of products and services, but also a powerful tool that persuaded product construction. Comparison, if you know that the X crowd will make Y Yuan money for the product or service, it is easy to predict potential return on investment. However, understand why people want to buy some things and differ from actual definition products - what is it works, how will it work? Market separation is the great tool for defining the market, but it is a low efficiency tool that defines the product. However, this, data obtained from market research, and data obtained from qualitative users can supplement each other. As already discussed, the humanography interview uses market research to help them choose interviews. In Chapter 5 we will discuss the difference between separation models and user models in detail.
Availability and user test availability or user testing, focusing on the measured characteristics of the user and the product interaction. The evaluation of the availability of the product focuses on the standard testing of the generated volumetric data. The results of the availability test often show the tendency to point to the problem area, and success. The availability test requires reverse testing of design products (Test Against). This makes the availability test at the location where the design cycle is preferred, and it is necessary to generate a full set of concepts and sufficient details of the file and prototype before it. User testing should also be performed as part of the test loop of the product itself, and the result should be provided to the designer and developer. Since the result of the user test is measurable and multi-quantitative, availability research is particularly effective in comparing specific design variants. When you need to confirm or refine the interactive mechanism or shape and expression of the specific design element, the customer feedback collected from the availability test is very useful. Availability is particularly effective in testing the following: · Name: Are the area / button label makes sense? Is a word reflected than other good? · Organization: This is especially true for products that pass information (relative to providing services). Is the information organized as the appropriate number of types? Is the entry where consumers can find? · For the first time and can find: Can new users find a common entry? Did the usage clear? Usage Description Is it necessary? · Effect: Can consumers have efficiently complete specific tasks? Do they make mistakes? Where is it? How long is the interval? When the user tests, please note that you can measure it, and the result will be helpful in calibration design issues. Jakob Nielsen's USAbility Engineering (1993) is a classic book in availability, providing excellent guidelines for this topic. Take some time to plan user investigation. Appropriate techniques are used properly in the development cycle. Your product will benefit, and you can also avoid waste of time and resources. Put the product in the laboratory to observe whether it can produce a lot of data, but it does not necessarily have much value. In the process of starting using people's interviews, you can let you really understand your users, their goals, and motivation as designers. When you have a solid design concept on a qualitative user research and research results model, the availability test will become more effective tools to determine the utility of your design choice. Qualitative research allows you to pose a burden on the beginning of the process. (To do the heavy lifting up frontin.
