Effective Observation & Sampling Techniques in System Analysis

Prototype Development in System Analysis

In this stage, an iterative method is explained, and the responsibilities of users are highlighted, with the user directly involved in the process. The speed with which the system generates results is essential to maintain momentum on the project, allowing users to assess the application as soon as possible. A professional system for initial prototype construction uses tools such as Fourth Generation Languages, Report Generators, and Display Generators. When developing a prototype, the following components are essential:

• The language for dialogue or conversation between the user and the system
• Screens and formats for data entry
• Essential processing modules
• System Output

Observation Techniques

Types of Observation: There are three basic approaches. First, one may notice a person or attitude without realizing they are being observed, involving more interaction than the analyst intended. This alternative may have limited importance in systems analysis because it's almost impossible to ensure the necessary conditions. Second, the analyst can observe an operation without interfering, but with the person being observed fully aware of the observation. Finally, one can observe and simultaneously interact with the people being observed. The interaction may involve asking about a specific task or requesting an explanation.

Preparation for Observation

1. Determine and define what will be observed.
2. Estimate the observation time.
3. Obtain management authorization to conduct the observation.

Conducting the Observation

1. Familiarize yourself with the physical components of the immediate observation area.
2. While observing, measure the time periodically.
3. Note what is seen as specifically as possible, avoiding generalities and vague descriptions.

Sampling Techniques

Sampling: It is an orderly process of selecting elements comprising a population. After obtaining a sample of the population, analyzing this information should provide accurate data. When sampling, the analyst faces two important decision-making points. One of them is: After making the collection and selection, this results in a lot of information distributed in documents, forms, reports, etc.