cognition.com
Design analysis
A compact comparison table gives the precise benchmark values after the visual charts, using subtle row rules and a lightly emphasized reference column.
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-e5330b0ddc92-1789365705-3.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-table ## Before you start Ask what the user's product, audience, and brand are, then apply the principles below to create an original data table. Build a readable technical benchmark table that follows a chart section. Include a descriptive heading, model columns, metric rows, aligned numeric values, and one restrained highlighted column or row for the focal result. ### Design language - Layout: keep the table within the article measure, allow horizontal scrolling on mobile, and align all numbers by decimal point or right edge. - Typography: 14–16px table text, 11–12px headers and units, semibold row labels; use tabular numerals. - Spacing: 10–14px cell padding, 12–16px above the heading, and 24px below for interpretation. - Colour: background `#f8f8f6`, ink `#222222`, secondary text `#777777`, hairlines `#e4e4df`, highlight wash `#eeeeff` or a very pale brand tint. - Borders and radius: horizontal rules only where possible; use a 2–4px radius on the scroll container if needed. - Interaction: sortable headers only when useful; preserve accessible table semantics and announce the highlighted metric. ### Never - Never reuse logos, product names, copy, illustrations, or imagery from the reference. - Never cram too many columns into a desktop-only layout. - Never use zebra striping or saturated fills that overpower the data.
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