Mastering AI-Driven Research: Depth & Quality with Reveal’s Alok Jain

In this free episode of Talking AI, Ray Poynter welcomes Alok Jain, co-founder and CEO of Reveal (doReveal.com), to dive into achieving true depth and quality in AI-powered research. Drawing on his journey from founding the first UX team at the World Bank through leading research at Fortune 50 Centene, Alok reveals how Reveal uses human-centric design and built-in prompt best practices to help researchers focus on craft, not busywork.

Together, they explore:

• Why simply “10xing” breadth isn’t enough—and how depth delivers real value
• The pros and cons of generic LLM chat platforms versus specialist tools like Reveal
• Guardrails, context windows, and prompt engineering baked into research workflows
• Proven strategies to minimize hallucinations and ensure AI-driven insights stay tethered to your data
• Best go-to resources—MRX Pros, grounded theory frameworks, LinkedIn and Twitter threads—and Alok’s top tips for AI newcomers, including “wipe coding” to automate tasks in natural language

Alok Jain brings over a decade of experience at the intersection of economics, UX design, and machine learning. At Reveal, he’s on a mission to synthesize qualitative interviews and focus group transcripts so that researchers can spend more time asking the right questions—and less time wrangling data. Tune in to learn how to harness AI for deeper, more trustworthy insights.