How I Fixed My Messy Technical Research Workflow

说明与用途

作者制定了一个结构化的研究流程，从明确问题开始，捕捉证据，分离事实与解释，并以可操作的输出结束，从而加速决策并简化信息检索。

问题

Research notes were cluttered with many open tabs and a document full of copied links, making it hard to recall why a page mattered or which video explained a specific trade‑off.

结果

The workflow reduced the time spent on research by preventing loss of reasoning between reading and deciding, and produced clearer, actionable outputs.

工作流

• 1. Start with a specific question
• 2. Capture evidence only: Source, Useful finding, Why it matters, Confidence or limitation
• 3. Separate extraction from judgment: record source statement then add interpretation
• 4. End with an output such as a decision table, recommendation, or list of open questions

证据

The workflow becomes harder when information is spread across API docs, PDFs, screenshots, and conference videos. Manual notes still work, but switching formats adds friction.

来源

I tested an AI workspace for documents and videos called iWeaver for this part of the process.

来源