Validate and improve bullet point lists using evidence-based cognitive research.

This tool analyzes bullet lists against scientifically-validated principles for optimal recall, scanning efficiency, and comprehension. Use it to ensure your summaries follow best practices.

INPUT MODES:

• Flat mode: Use "items" for simple lists (3-7 items recommended)

• Sectioned mode: Use "sections" for long documents with multiple topics/chapters

  • Each section has its own title and items array

  • The 3-7 item rule applies PER SECTION, allowing unlimited total content

WHEN TO USE:

• Before finalizing any bullet list summary

• When creating documentation, reports, or reference materials

• To score existing bullet content against research standards

• For guidance on improving list structure

KEY PRINCIPLES ENFORCED:

1. List Length (3-7 items per section, 5 optimal): Working memory limits mean more items decrease recall

2. Hierarchy (max 2 levels): Breadth over depth for better comprehension

3. Serial Position: Place critical info first and last (U-shaped recall curve)

4. Line Length (45-75 chars, 66 optimal): Typography research on readability

5. Parallel Structure: Consistent grammar enables faster scanning

6. First Two Words: Critical for reader fixation and scanning decisions

CONTEXT AWARENESS:

• document: Optimizes for scanning and reference (default)

• presentation: Warns that visuals may be more effective (43% more persuasive per research)

• reference: Optimizes for quick lookup

• Per-section context override supported in sectioned mode

SCORING:

• 0-100 scale with letter grades (A/B/C/D/F)

• Per-rule breakdown with research citations

• Per-section breakdown in sectioned mode

• Actionable improvement suggestions ranked by impact

Returns JSON with score, grade, issues, and top improvements.