cognition.com
Design analysis
The methodology continues with formal definitions, a scatter plot relating sequence length to variance, and a stability line chart that supports the proposed training choice.
Prompt preview
## Reference images Study these alongside the description below: hierarchy, rhythm, spacing, colour. Build for the product you are asked about, using this design language. - Component: https://kage-design-assets.t3.tigrisfiles.io/components/cognitions-swe-2/e9966f12-655e-494e-9580-e5330b0ddc92-1789365707-6.webp - Full page it was cut from: https://kage-design-assets.t3.tigrisfiles.io/screenshots/cognitions-swe-2/e9966f12-655e-494e-9580-e5330b0ddc92-1789365639098-full.webp - Component on Kage: https://kage.design/component/cognitions-swe-2-chart-2 ## Before you start Ask what the user's product, audience, and brand are, then apply the principles below to create an original methodology visualization section. Build a research-method section with a short derivation, a scatter plot, and a line chart. Explain what each visual measures and why it matters before showing the data. ### Design language - Layout: use a consistent figure template with title, plot, axis labels, caption, and source note; keep both charts the same width and align their plot regions. - Typography: 14–16px prose, 14px figure titles, 10–11px axis labels, and 11–12px captions; equations use a readable math face. - Spacing: 24px between derivation and figure, 16px chart internal padding, 28–40px between figures. - Colour: background `#f8f8f6`, ink `#222222`, primary points/line `#3217e6`, comparison line `#d77e6b`, gridlines `#ededE8`. - Borders and radius: subtle 1px figure boundary, 0–4px radius, no shadow. - Interaction: hover states reveal point or series values; allow zoom or a larger view on mobile without hiding captions. ### Never - Never reuse logos, product names, copy, illustrations, or imagery from the reference. - Never imply correlation or causation without labeling the relationship. - Never omit units, sample context, or uncertainty when those are material.
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