Our Work
Questionaire designing
No survey can achieve success without a well-designed questionnaire and is a very convenient way of collecting information from a large number of people within a period of time.
Questionnaire design is a multistage and complicated process that requires attention to many details at once. We design the questionnaire to ensure accurate data is collected so that the results are interpretable and generalisable.
Survey Programming
Our Tech Team use various latest technology to design and execute a survey. The Tech Team of Connecting Feedback is responsible for the blueprint, programming and testing all aspects of online surveys.
Using latest technologies and understanding the market, we ensure the survey design by us is engaging and interactive on the front end while maintaining the highest levels of quality and perfection in back-end end coding, logic, and quota work.
Data Collection
Data collection is a systematic process of gathering observations or measurements.
In-Person Data Collection: We collect data from traditional in-person research. In-person Data Collection by Connecting Feedback includes Product testing, Interviews, Including focus niche groups
Online Data Collection: Connecting Feedback conducts Online Surveys, Video Surveys, Phone Surveys, web-based survey, Message board, and group discussion
Data processing and Analysis
Our Expert team of Data scientists process the raw data collected and convert it into more readable format. Processing is done using machine learning algorithms, it is important for data processing to be done correctly as not to negatively affect the end product, or data output.
Ways of Data Processing:
- Transaction processing
- Distributed processing
- Real-time processing
- Batch processing
- Multiprocessing
Reports and Presentation
Before using the data to make any decision regarding the market place, Data is presented by our team in such a way that it gives you a clear view of the market place. Our team use different graphical techniques to visually show the reader the relationship between different data sets, to emphasise the nature of a particular aspect of the data or to geographically ‘place’ data appropriately on a map.