Interview GPT

Inter-American Development Bank

This web-based tool enables easy and engaging collection of qualitative data through conversational interviews. Users can respond in chat or sequential mode, using text or voice, on any device. It includes built-in response analysis, and gives administrators access to a dashboard with interview results, progress tracking, and live follow-up tools for deeper insights.

This web application addresses the challenge of collecting high-quality qualitative data at scale. Traditional interviews can be time-consuming, hard to manage remotely, and inconsistent in format. By offering conversational and focused question modes, plus a mobile-friendly design, the tool makes it easier for users to share rich insights anytime, anywhere. Administrators benefit from automated analysis, real-time tracking, and live follow-up tools, streamlining the entire data collection and interpretation process.

Gain richer qualitative insights through seamless conversations. This web application, designed for mobile devices, allows you to design, conduct, and analyze interviews entirely online. There are two ways to interact with participants: Chat Mode: All questions and answers appear in a single, seamless conversation, like a messaging app; Sequential Mode: Displays one question at a time to keep participants focused and avoid information overload. Seamless Participant Experience: Respond via text or voice (with a microphone) and receive a self-generated summary of key findings at the end of the interview (fully configurable by the administrator). Powerful tools for researchers include a results dashboard with transcripts and full exports, progress charts that track created and completed interviews at a glance, and live chat for further exploration or real-time follow-up. Designed from the ground up for any screen size, Interview GPT turns qualitative data collection into a seamless, conversational experience for both participants and administrators.

The tool consistently relies on open web standards: the interface is built with HTML5, CSS3, and ECMAScript 2021/TypeScript; communication with the backend occurs via HTTP/HTTPS, exchanging data in JSON (RFC 7159); authentication is delegated to Microsoft Entra ID via the OAuth 2.0 and OpenID Connect protocols, using JWT (RFC 7519) for tokens; voice capture uses the W3C's Web Speech API; and the mobile-first approach incorporates Progressive Web App principles such as Service Workers and Web Manifest, ensuring an interoperable, extensible experience free of proprietary dependencies.