How PMs can use AI and Markdown to preserve product context

Product managers often struggle to preserve the reasoning behind decisions because feedback, meeting notes, roadmap changes, and status updates are scattered across tools such as Slack, call notes, Figma, and documents. One proposed solution is to maintain a structured set of Markdown files, including a company-level background file and project folders containing roadmap, customer feedback, and status files, with optional sections for analytics or stakeholder collaboration. AI assistants with file-reading and editing capabilities can help organize raw notes, log decisions with dates and rationale, preserve existing formatting, and retrieve relevant historical context during planning or review sessions. The approach relies on consistently capturing information, especially the reasons for decisions and conditions for revisiting them, because AI cannot organize context that was never recorded. The author reports that this system improved access to past information, surfaced useful feedback and reminders, and became manageable once documentation was integrated into recurring work routines, while recommending that users begin with one project and allow the structure to evolve over time.

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