QualiaInterviews Grant: £100 for AI-powered data collection
Are you a researcher or evaluator interested in conducting conversational interviews at scale?
QualiaInterviews: is a platform for designing and delivering online interviews led by an AI-interviewer. It enables you to conduct in-depth qualitative interviews at scale, transparently and reproducibly. We’re offering grants to support researchers and evaluators in leveraging this innovative tool for their projects, prioritizing studies focused on diversity, equity, and inclusion (DEI). Make DEI Great Again.
Why QualiaInterviews?
- Like surveys. But easier, smarter and conversational.
- Great for loosely structured research interviews
- Works in (and adapts to) multiple languages
- Respondents can type or speak their answers
- Intelligent Interview Advisor helps you perfect your interview guidelines
- Rapidly test your interview guideline with different languages and personas using our automated respondent.
About the Grant
We will select projects to grant £100 credits to conduct up to 150 interviews using Qualia, our platform for designing and delivering online interviews led by an AI-interviewer.
Don’t know if Qualia would be the best choice for your research? You can register for free and get a welcome pack of £50 of credits to try out the app before sending your proposal.
How to apply
Submit a short proposal (less than 300 words) explaining how you would like to include QualiaInterviews in your research by March 28th to gabriele@causalmap.app.
All applications are welcomed, but proposals regarding research on diversity equity and inclusion will be given preference.
Accepted applicants are expected to write a blog post about their experience with Qualia within 2 months.
When we approve your application we will send you details of how to access credits and how to get support when using QualiaInterviews.
Questions? Contact gabriele@causalmap.app for eligibility details or technical specifications. QualiaInterviews: Where surveys gain depth, and conversations gain scale.