# Problem-First Workflow Analysis

> Problem-First Workflow Analysis

- Skill: `coowoolf/problem-first-workflow-analysis` (Agent Skill)
- Install (CLI): `npx skillmds@latest add coowoolf/problem-first-workflow-analysis`
- Raw SKILL.md: https://api.skillmd.com/api/skills/coowoolf/problem-first-workflow-analysis/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- Author: Coowoolf (https://skillmd.com/u/coowoolf)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/coowoolf/problem-first-workflow-analysis

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# Problem-First Workflow Analysis

> Problem-First Workflow Analysis（问题优先工作流分析）

## 概述 / Overview

一套严谨的研发全生命周期，始于对根本问题的定义，并强制要求在规模化之前，每个阶段都需通过明确的概念验证（POC）。该方法拒绝盲从行业惯例（如人工核查），除非其能通过问题分析的验证。

## 来源 / Source

- **嘉宾**: Keith Coleman & Jay Baxter
- **职位**: Product Lead & Founding ML Engineer
- **公司**: Community Notes (X)

## 核心步骤 / Core Steps

1. Define Core Problem
2. Hypothesis & Mockup Validation
3. Closed Pilot (MTurk/Internal)
4. Open Public Pilot
5. Scale & Expand

## 核心原则 / Core Principles

- Problem Obsession: Focus entirely on solving the core issue (e.g., info quality) rather than business metrics.
- Stepwise Proof: The product must prove its value hypothesis at each stage (Mockup -> Pilot -> Scale).
- First-Principles Design: Reject existing solutions (Trust & Safety teams) if they don't solve the scale/trust problem.
- Radical Transparency: Open-sourcing code and data to build trust rather than relying on brand authority.

## 适用场景 / When to Use

在低信任、大规模的高风险环境中，从 0 到 1 打造产品。

## 常见错误 / Common Mistakes

核心机制未验证即开始规模化；依赖用户无法验证的“黑盒”逻辑。

## 实战案例 / Real-World Example

团队首先利用静态原型（Static Mockups）测试 Community Notes 以验证需求，随后通过 MTurk 任务验证可行性，最后才着手构建线上试点版本（Live Pilot）。

## 金句 / Quote

> "We were very disciplined... about having the product prove itself at every given point."