DataVision makes Data Collection simple using industry-proven techniques
Theoretical knowledge is crucial but you can;t forget the importance first-hand on the ground experience. The latter is one of our major strength in the Survey and Research as we have gathered it over time and created a proven pattern that brings about guaranteed results at all times. With over 18 years in the industry we have managed to fine-tune our working techniques to enable our enumerators to build sustainable relationships with the local communities and the interviewees in the shortest time possible.
Our projects in both Tanzania and the neighboring countries involve travelling in the in remote rural areas, surviving the most harsh weather and living conditions, and extremely different cultural traditions. Without being able to quickly build rapport with not only the target interviewees but also the surrounding community survivinig in such conditions is always difficult and can potentially jeopardize the investment in the project(s).
Having gathered the experience of how to handle the art of efficiently creating rapport in the shortest time possible, we share it with all our enumerators to ensure we obtain the most reliable and quality data all times as people tend to open up when they feel comfortable in your presence. DataVision consultants use different methods for different age groups e.g. a stuent, an adult (female and males) etc.
On top of that, we train our enumerators need to quickly understand the local cultural dynamics of the area in order to be able to communicate in a manner that will not come across as offensive. Different areas/ regions have completely different cultures, it is our responsibility to be able to grasp the difference in the shortest time possible and be able to fit in without being seen as an outcast.
Being able to share the Rapport Techniques to our enumerators has continuously made DataVision one of the most reliable brands when it comes to the element of large survey projects both Nationally and Multi-nationally with 98% assurance of quality and reliable data.
