The Centre for Rapid Insights provides quick, data driven insights into economic development, public service delivery and governance in India.
It is set up as a collaborative venture between Artha Global and Prashnam.ai, a Mumbai-based technology company that has pioneered AI powered feedback.
What gaps does it fill?
In policymaking, we believe reliable and timely information today is more valuable than perfect information with huge lag. The Centre aims to provide rapid, survey-based insights into economic development, public service delivery and governance in India, at a fraction of the cost of regular surveys.
Use Case
The utility of this tool was best evidenced during the Covid-19 pandemic, which accentuated the need for high frequency data to enable timely decision making, with realities changing on a daily basis and affecting large populations. We ran a vaccine hesitancy survey in an Indian state where vaccine uptake was poor. Our survey revealed the erroneous belief among a large section of the public that the vaccine is a curative rather than preventative measure. The survey informed the state government’s communications campaign on vaccination.
How does it work?
Panel and Technology
Currently, our opt-in panel is 30 million strong and representative of most states in India. The Centre uses an automated IVR-based calling system to survey the respondents. The system is backed by an enterprise-grade trunk carrier that can dial hundreds of thousands of numbers an hour. This ensures results come in rapidly and are displayed in near real-time. The underlying technology can scale to any number of users. Timelines for traditional research methods that can take up to weeks and months can now be completed in mere hours. Additionally, we can poll voice responses and automatically transcribe and cluster the most prominent responses
Safeguards
We are committed to maintaining the highest standards when it comes to protecting the privacy of the survey respondents. All insights are generated at an aggregate level, and does not reveal sensitive personal information about the respondents.
