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Summary

Documentation for an internal tool that prioritizes wiki pages for insight extraction using a weighted formula (importance × quality - existing insights). Provides scoring ranges and workflow for extracting insights from high-potential pages.

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Gap Analysis

Open Gap Analysis ToolInteractive table showing pages sorted by insight potential score

How It Works

The Gap Analysis tool cross-references:

  • Page importance (0-100 scale from pages.json)
  • Page quality (0-100 scale)
  • Current insight count (from insights.yaml)

Pages are scored using the formula:

Score = importance × (1 + quality/100) - insightCount × 20

This prioritizes:

  1. High-importance pages (more weight)
  2. High-quality pages (slight boost, since better content = better insights)
  3. Pages with few existing insights (penalty for already-extracted pages)

Interpreting Results

Score RangeMeaning
100+Critical gap - High importance, probably no insights
80-99High priority - Should investigate soon
60-79Moderate priority - Worth checking
40-59Lower priority - May have diminishing returns

Filters

  • Category filter: Focus on specific content areas (risks, capabilities, responses, etc.)
  • Min importance slider: Only show pages above a certain importance threshold
  • Search: Find specific pages by title or content

Next Steps

After identifying a high-potential page:

  1. Read the page carefully
  2. Look for surprising claims, quantitative data, or expert disagreements
  3. Extract 2-5 insights per high-quality page
  4. Add to src/data/insights.yaml

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