The Pen-and-Paper Personal Interview (PAPI) method describes any survey where the initial dataset is collected using pen-and-paper rather than electronic devices.
We use this methodology when the objectives of the studies can be realized by receiving short comments. Through this method, the questionnaires can be distributed among the samples and the statistical population, and even depending on the type of study, an arrangement can be adopted for the respondents to complete the questionnaires themselves. The problem that exists is that since the questionnaire is written by writing, it takes time to complete the questionnaires, and the most important thing is that the collected questionnaires must be accompanied by data entry through the software, which these two The subject will reduce the speed of the studies and make the study process longer.
But it should be noted that this method also has many advantages, some of which are mentioned below:
⦁ Pen-and-paper surveys are also guaranteed to produce a permanent primary record of data collection. Each form can be individually numbered during collection and stamped/signed by supervisors during field-side quality assurance.
⦁ Pen-and-paper surveys are also typically easier for enumerators or respondents to give open-ended or qualitative responses to, since computer-assistance may be unable to handle local languages, or auto-correcting features of tablets may garble inputs in settings where English spellings are highly variant.
⦁ With Pen-an-Paper questionnaires you are likely able to collect more responses as you won’t be limited to a number of tablets/computers you have. You may print as many copies as your research team requires.
We use this method when study needs short answers from questionnaire for instance in some solutions such as market needs, market share, usage habit and attitude, brand awareness, brand loyalty, NPS, Brand position, customer satisfaction, brand position, brand health, brand image, brand name and logo, Detached customers, potential customers, customer loyalty, distribution channels, retail audit and so on.
Due to the advancement of technology and the ability to reduce the percentage of errors in studies, this method is not very common in research today: