Written by Data collection, while basic to any research and decision-making, is often fraught with complexities that can impact the accuracy, reliability, and usefulness of the data. These complexities arise from a variety of sources, some of them are described below along with our way of solving them:
| Challenge | Our Solution |
| Sampling | |
| * Lack of Diversity in Sample * Poor Sampling | * Proper homogenization of sample as per geography * Selection of respondents as per hospital type * Community based selection (E.g. Rural, Urban etc.) |
| Respondent Bias | |
| * Unthoughtful/Untruthful responses due to fatigue or misunderstanding of question | * Interviews are conducted in the local language to avoid misunderstanding of questions * Questions are pretested in pilot interviews * Sensitive questions are phrased neutrally * Indirect questioning techniques are incorporated * Recent timeframes recall questioning is deployed * Neutral, clear and Specific words are used to avoid any confusion |
| Technological Constraints | |
| * In remote or underserved area issues like internet connectivity, device compatibility and platform reliability may come up | * Multi-mode research is deployed such as in Avoraus-Hybrid * Deployment of field support teams * Light weight tools or offline data collection tools may be deployed |
| Cultural or Linguistic Barrier | |
| * In global or multicultural studies, language differences, cultural nuances, and local norms can affect how questions are understood and answered | * Use of local moderator and questionnaire properly translated by professional translator can easily avoid this barrier |
| Privacy | |
| * Compliance to international privacy policies like GDPR and HIPAA | * By deploying internal privacy policy in compliance with GDPR and HIPAA in studies along with strict control measure ensure this becomes a tool where respondents trust, thus openly giving unbiased insights |
At Avoraus, with the help of thoughtful research design, robust tools and methodologies including multi source integration, continuous validation and quality control throughout the data collection process, we ensure that our client gets the right, accurate and actionable data.