The more the researcher observes and takes in during these interviews, the more realistic the character will be. In the event that it's impossible to interview or observe real people—time and money don't allow for the user research needed to define accurate personas—it's still possible to create a persona based on what the team knows about users. If the product is available in the market and has real users, you can use customer support records and web analytics to create a persona.
A persona created using this approach is known as a provisional persona, and is a great placeholder until real personas are created. During this step, it is very important to avoid generating stereotyped User Persona (users that have no relation to the reality of the user). Completely whatsapp list fictional stories of imaginary people based on little or no research add no value to the design process and can actually be detrimental.
Also, poorly constructed characters can easily undermine the credibility of this technique. Identify patterns of behavior from research data The next step is to analyze the research results. The goal during this step is to find patterns in the user research data that allow similar people to be grouped into user types. There's a simple strategy suggested by Kim Goodwin: Once you've finished your research, make a list of all behavioral variables (ie, the ways in which users' behavior differs).