Comparison & Mindmap
4분면 포지셔닝 매트릭스
두 개의 축으로 대안을 네 영역으로 나누고 각 방법의 위치를 표시합니다.
Prompt
A 2x2 positioning matrix with two axes and four labeled quadrants. Axes: - X-axis (horizontal): "Data Efficiency" — left = low, right = high - Y-axis (vertical): "Compute Efficiency" — bottom = low, top = high Four quadrants: - Top-left: "Compute-Hungry, Data-Rich" — methods that need lots of compute and tolerate data scarcity (e.g., huge pretraining) - Top-right: "Sweet Spot" — high efficiency on both axes (e.g., distilled small models) - Bottom-left: "Avoid" — both inefficient (e.g., naive scratch training) - Bottom-right: "Data-Greedy, Cheap" — needs lots of data but cheap to run (e.g., kNN retrieval) Plot 6-8 example methods as labeled dots distributed across all four quadrants. Each dot has a 1-2 word label. Style: clean publication-style scatter, white background, slate axes with one accent color per quadrant, sans-serif. Quadrant headers in upper-corner of each quadrant. Suitable for survey papers and consultancy decks.Use in Generator
When to use
For positioning related work, market segmentation, or method-classification tables.
Variations
With evolutionary arrow
Add a curved arrow showing how the field has moved over time, e.g. starting bottom-left in 2018 and ending top-right by 2025, passing through several method dots.
Tips
- Label both axes with units / endpoints (low / high). Unlabeled axes confuse readers.
- Place quadrant headers in corners, not centers — they otherwise compete with the data dots.
- Cap dots at 8. More than that obscures the positioning narrative.
FAQ
Can I add a third dimension?
Encode it as dot size or color (e.g., dot diameter ∝ accuracy, color ∝ year of publication).
