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Strategic Priorities⚓︎

This document defines the major long-term strategic priorities for DMS. These are the areas where the product can become meaningfully more valuable over time.

Decision History⚓︎

The long-term value of DMS depends on preserving a stable and inspectable record of how decisions evolved.

  • Goal: Maintain a permanent record of how each Topic changed over time.
  • Why it matters: Learning breaks down when the past can be silently rewritten.

Potential capabilities:

  • Time Travel: View a Topic exactly as it looked on a specific date.
  • Thinking Timeline: See a visual history of how Reasons and Choices changed over time.
  • Linked Topics: Connect related Topics across time, teams, or decisions.

Discovery & Insights⚓︎

Stored decision history has limited value unless users can find the right signal at the right time.

  • Goal: Help users discover patterns across decisions, outcomes, and lessons.
  • Why it matters: The value of the product compounds when individual records become cross-topic insight.

Example insight queries:

  • "Show me all decisions where my confidence was high, but the result was poor."
  • "What are the most common lessons my team has learned this year?"

Intelligence⚓︎

AI should improve visibility into decision patterns, not replace human judgment.

AI Should... AI Should NOT...
Highlight repeated mistakes. Make the final decision.
Suggest relevant past Topics. Score or "rank" users.
Detect overconfidence patterns. Automate reasoning.