What is MaxDiff, or as some other sources may refer to it, Maximum Difference Scaling, or Best-Worst Scaling? Simply put, it is a survey research technique used to determine preferences between a predefined set of items. By analyzing MaxDiff survey data, we can draw conclusions such as which one is the most/least preferred or rank them.
Nowadays, the concept of social responsibility seems to be more prevalent than ever before. We are non-stop being confronted with harsh predictions and dark prophecies about what will happen to our world, the generations' responsibility for their actions, and even more so, about the apparent lack of awareness and consideration, planning and action around securing the future for our children and the generations to come.
Nebu solutions are created to accommodate remote working. In its origins, the aim has been to support the creation of a virtual call center for clients working internationally, with offices spread even between continents. In the time of Covid-19, our solutions will provide a smooth workflow and business continuity of a call center with employees working from the safety of their own houses. The tools are fully covering the needs of various roles in the organization. All employees, from CATI interviewers and supervisors, through scripters, data processing teams, can work from home with full capacity.
If you are looking to move your fieldwork processes to remote working, Nebu will undoubtedly be of help to you. There are two key pieces of information I would like you to be aware of. First of all, in principle, it makes no difference whether we set up a workstation for an interviewer sitting in a call center or at home (also in case of having an on-premise Nebu system). Secondly, since all tools are entirely web-based, any employee can continue their work provided they have access to a web browser and internet. Now, let's take a look in more detail how exactly Nebu can help you keep up efficient fieldwork, high productivity, quality control, and data processing of your completely remote CATI call center.
In this blog post we continue the conversation with Sanne Krom (GDCC). In part 2 (of 2), among many topics, we are touching upon productivity and quality control in CATI operations on a global scale.
CATI Interviewers at the GDCC office in Rotterdam
Across the globe, companies are dealing with the COVID-19 pandemic. The coronavirus crisis affects us all, regardless of the industry, and the market research industry is no exception. The conduct of quantitative and qualitative market research has been massively impacted. Curious about how fieldwork and market research companies are dealing with this situation, we are asking some of our clients and partners to tell us how they are doing and adapting to this new and extreme situation. Read more for an interview with Matt Coulling, Operations Director at DJS Research.
Recently I had a pleasure to visit GDCC's Rotterdam office. Seeing one of their biggest CATI centers live and in action was an impressive experience. The afternoon lead to inspiring conversation with Sanne Krom, one of the founders and Managing Partner, about the realities of CATI operations on a global scale. Read more for the first part of the interview.
GDCC stand at Research & Results, Munich 2019, from left: Otto van Linden (Nebu), Yaron Brenman (Savanta), Sanne Krom (GDCC), Suzana Arsovska-Mitrevska (GDCC), fot. Eric van Velzen (Nebu)
Reflect SE, a market research consultancy based in Stockholm and Nebu's long-term business partner got approached by a company seeking support for a challenging, continuous, multilingual customer feedback study. The target group is immigrants speaking in a variety of languages...
In the halcyon days of the market research industry – not quite when dinosaurs roamed the earth, but close – paper-and-pencil interviewing (PAPI) was virtually the sole mode of quantitative data collection: Referring to a hard copy questionnaire, the interviewer would ask questions verbatim (i.e., exactly as they were printed on the page, following the prescribed skip patterns), and write the respondent’s replies directly onto the page.
PAPI is a time-consuming and error-prone method of research data collection, relying heavily on the diligence with which the interviewer follows skip pattern directions and legibly records the respondent’s answers. With PAPI, data integrity can also be compromised if different regional accents mitigated how well the interviewer and interviewee understand one another.
I am knocking on an open door when I say that technology is constantly allowing us to change the way we work. But somehow I have the feeling that the data collection for Market Research Industry is trying very hard to ignore this. Let me list a number of developments I recently ran into which I expect to see emerging within the Market research sector.
