A Product Approach to Building GPT Apps: Notion Case Study скачать в хорошем качестве

A Product Approach to Building GPT Apps: Notion Case Study

In this video, I walk through how I think about designing a GPT app using Notion as a case study. Instead of starting with features or UI, I begin with two core questions: • What is the system capable of? • What is the user actually trying to do? Using the Inspect / Create / Execute (ICE) framework and modes of work (Explore, Compare, Constrain, etc.), I define a focused V1 scope for a Notion GPT app. The goal isn’t to rebuild Notion inside ChatGPT. It’s to design a clear, opinionated insight layer that aligns capability with user intent. This video covers: – How to classify GPT app capabilities – Why capability does not define entry point – Choosing the right primary mode for V1 – Designing an inspect-first experience – Wireframing conversational UI + insight widgets If you’re building MCP apps, GPT apps, or agentic systems, this framework will help you scope them intentionally. ⸻ Let me know in the comments which product you’d like me to redesign next. ⸻ Chapters 00:00 — Introduction 00:42 — The Core Principle: Capability × Intent 01:25 — The ICE Framework (Inspect / Create / Execute) 02:35 — Why Capability Doesn’t Define Entry Point 03:05 — User Modes of Work (Explore, Compare, Constrain) 04:40 — Defining V1 Scope for Notion 05:30 — Inspect as the Primary Capability 06:20 — Wireframe Walkthrough: Insight Layer 08:00 — Conversational Hooks & UX Decisions 09:30 — Why Focus Beats Feature Creep