Seen as a design The generated document itself — its toggles and disclosures work here
Seen as a design The generated document itself — its toggles and disclosures work here
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Build an HTML document with "Weighted Decision Scorecard". This layout runs, so there is no composition to rebuild — what it needs is content. ## What this layout does Weighted Decision Scorecard with explicit source values and reading conditions. ## What you have to supply - Provide the source values, labels and decision conditions described by the schema. ## The shape of the input - `title` — string — 結論を伝える見出し - `subtitle` — string? — 出典・時点・母集団や仮定 - `criteria` — array (label, weight) — 評価軸と重み（合計100） - `options` — array (label, scores) — 各評価軸に対応する0〜5点 schema.ts holds the machine-checkable validation. Ask rather than guess when an input is missing. ## When not to use it - Do not compare values with incompatible units, populations, or assumptions. ## How to build it Put the input in a JSON file and run: ```bash node scripts/render.mjs weighted-decision-scorecard <input.json> --theme ink -o out.html ``` The output is one self-contained file and fetches nothing at render time. ## The source - https://design-vault.pages.dev/designs/weighted-decision-scorecard/source/template.tsx - https://design-vault.pages.dev/designs/weighted-decision-scorecard/source/schema.ts - https://design-vault.pages.dev/designs/weighted-decision-scorecard/source/sample-data.json - https://design-vault.pages.dev/designs/weighted-decision-scorecard/sample.html
Template, input schema, sample data and metadata. This document was generated from those four. The generated document
/designs/weighted-decision-scorecard/source/template.tsx
import type { ReactNode } from "react";
import type { Props } from "./schema";
const fmt = (n: number) => Number.isInteger(n) ? n.toLocaleString("ja-JP") : n.toLocaleString("ja-JP", {maximumFractionDigits: 2});
function Ledger({heads,rows,caption}:{heads:string[];rows:ReactNode[][];caption?:string}) { return <table className="ledger">{caption && <caption>{caption}</caption>}<thead><tr>{heads.map((h,i)=><th key={i} scope="col">{h}</th>)}</tr></thead><tbody>{rows.map((r,i)=><tr key={i}>{r.map((v,j)=><td key={j} data-label={heads[j]}>{v}</td>)}</tr>)}</tbody></table>; }
function Notes({children}:{children:ReactNode}) { return <details><summary>データ・判断条件を確認</summary>{children}</details>; }
const CSS = String.raw`
.asset{font-family:var(--font-sans);color:var(--color-primary);background:var(--color-surface);max-width:var(--container-slide);margin:auto;padding:3rem 2rem;line-height:1.6;font-size:var(--text-body-sm)}
.asset *{box-sizing:border-box}.asset header{margin-bottom:2rem}.asset .eyebrow{font-family:var(--font-mono);font-size:var(--text-label);letter-spacing:.08em;color:var(--color-secondary);margin-bottom:.75rem}.asset h1{font-size:var(--text-h1);font-weight:700;line-height:1.35;letter-spacing:-.025em;max-width:32em}.asset h2{font-size:var(--text-h3);font-weight:600;margin-bottom:.75rem}.asset h3{font-size:var(--text-body-md);font-weight:600}.asset .subtitle,.asset .muted{color:var(--color-secondary)}.asset .subtitle{margin-top:.75rem}.asset .number{font-variant-numeric:tabular-nums;font-family:var(--font-mono)}.asset .hero-number{font-size:var(--text-display);line-height:1.2;font-weight:700;letter-spacing:-.04em}.asset .callout{border-left:.25rem solid var(--color-tertiary);padding:1rem 1.5rem;background:var(--color-surface-subtle);margin-bottom:1.5rem}.asset .grid2{display:grid;grid-template-columns:1fr 1fr;gap:1.5rem}.asset .grid3{display:grid;grid-template-columns:repeat(3,minmax(0,1fr));gap:1.5rem}.asset .panel{padding:1.5rem;background:var(--color-surface-subtle);border-radius:var(--radius-md);min-width:0}.asset .rule{border-top:1px solid var(--color-outline);padding-top:1rem;margin-top:1rem}.asset .pill{display:inline-block;padding:.25rem .75rem;border:1px solid var(--color-outline);border-radius:var(--radius-full);font-size:var(--text-label)}.asset .focus{background:var(--color-tertiary-container);color:var(--color-on-tertiary-container)}.asset .dark{background:var(--color-primary);color:var(--color-on-primary)}.asset .dark .muted{color:var(--color-on-primary-container)}.asset .row{display:grid;grid-template-columns:12rem minmax(0,1fr) 6rem;gap:1rem;align-items:center;padding:.75rem 0;border-bottom:1px solid var(--color-outline)}.asset .row>*{min-width:0}.asset .track{height:1rem;position:relative;background:var(--color-neutral);border-radius:var(--radius-sm)}.asset .bar{height:100%;background:var(--color-tertiary);border-radius:var(--radius-sm)}.asset .track.tall{height:2rem}.asset .flex{display:flex;gap:1rem;align-items:center;justify-content:space-between;flex-wrap:wrap}.asset .stack>*+*{margin-top:1rem}.asset ul{list-style:disc;padding-left:1.25rem}.asset li+li{margin-top:.5rem}.asset .plot{display:block;width:100%;height:auto;overflow:visible}.asset .plot text{font-family:var(--font-sans);font-size:14px;fill:var(--color-secondary)}.asset .plot .ink{fill:var(--color-primary)}.asset .plot .axis{stroke:var(--color-outline);stroke-width:1}.asset .plot .accent{stroke:var(--color-tertiary);fill:none;stroke-width:3}.asset .legend{display:flex;gap:1.5rem;flex-wrap:wrap;font-size:var(--text-label);margin-bottom:1rem}.asset .legend b{display:inline-block;width:.75rem;height:.75rem;margin-right:.5rem}.asset .ledger{border-collapse:collapse;width:100%;font-variant-numeric:tabular-nums}.asset .ledger caption{text-align:left;font-weight:600;margin:1rem 0}.asset .ledger th{font-weight:600;color:var(--color-secondary);text-align:left}.asset .ledger th,.asset .ledger td{padding:.75rem 1rem;border-bottom:1px solid var(--color-outline);vertical-align:top;overflow-wrap:anywhere}.asset .ledger th:first-child,.asset .ledger td:first-child{padding-left:0}.asset .ledger th:last-child,.asset .ledger td:last-child{padding-right:0}.asset .ledger tbody tr:hover{background:var(--color-surface-subtle)}.asset details{border-top:1px solid var(--color-outline);margin-top:1.5rem;padding-top:1rem}.asset summary{cursor:pointer;color:var(--color-secondary);padding:.5rem 0;min-height:2.75rem}.asset summary:focus-visible{outline:2px solid var(--color-tertiary);outline-offset:.25rem}.asset .small{font-size:var(--text-label)}.asset .mobile-only{display:none}.asset .horizontal-list{display:grid;grid-template-columns:repeat(3,minmax(0,1fr));gap:1rem}.asset .board-column{border-top:.25rem solid var(--color-primary);padding-top:1rem;min-width:0}.asset .board-item{padding:1rem 0;border-bottom:1px solid var(--color-outline)}.asset .board-item p{margin-top:.5rem}.asset .statement{font-size:var(--text-h2);line-height:1.5;font-weight:600}.asset .meta-line{margin-top:.75rem;font-size:var(--text-label);color:var(--color-secondary)}.asset pre{white-space:pre-wrap;overflow-wrap:anywhere}.asset footer{margin-top:2rem;font-size:var(--text-label);color:var(--color-secondary)}
@media(max-width:640px){.asset{padding:1.5rem 1rem}.asset h1{font-size:var(--text-h2)}.asset header{margin-bottom:1.5rem}.asset .grid2,.asset .grid3,.asset .horizontal-list{grid-template-columns:1fr}.asset .row{grid-template-columns:minmax(0,1fr) 5rem;gap:.5rem}.asset .row>:first-child{grid-column:1/-1}.asset .desktop-only{display:none!important}.asset .mobile-only{display:block}.asset .panel{padding:1rem}.asset .ledger,.asset .ledger tbody,.asset .ledger tr,.asset .ledger td{display:block}.asset .ledger thead{display:none}.asset .ledger tr{padding:.75rem 0;border-bottom:1px solid var(--color-outline)}.asset .ledger td{display:grid;grid-template-columns:7rem minmax(0,1fr);gap:.75rem;border:0;padding:.25rem 0!important}.asset .ledger td:before{content:attr(data-label);color:var(--color-secondary);font-size:var(--text-label)}.asset .hero-number{font-size:var(--text-h1)}}
@media print{.asset{max-width:none;padding:1rem}.asset details>*{display:block}.asset summary{display:none}}
`;
export default function Template(d: Props) {
const ranked=d.options.map(o=>({...o,total:o.scores.reduce((s,v,i)=>s+v*d.criteria[i].weight/100,0)})).sort((a,b)=>b.total-a.total);
return <section className="asset asset-weighted-decision-scorecard"><style>{CSS}</style><header><p className="eyebrow">WEIGHTED DECISION SCORECARD</p><h1>{d.title}</h1>{d.subtitle && <p className="subtitle">{d.subtitle}</p>}</header>
<div className="callout"><strong>{ranked[0].label}</strong> · 加重得点 <strong className="hero-number">{fmt(ranked[0].total)}</strong> / 5</div><Ledger heads={["候補",...d.criteria.map(c=>c.label+"（"+c.weight+"%）"),"加重得点"]} rows={ranked.map(o=>[o.label,...o.scores,fmt(o.total)])}/><Notes><p>得点＝Σ（評価点×重み÷100）。同点は入力順で表示し、自動で優劣を断定しません。重みや評価点の根拠を変更前に合意します。</p></Notes>
<footer>評価は0〜5点。費用を評価に含める場合は採点基準を合意する。</footer></section>;
}
/designs/weighted-decision-scorecard/source/schema.ts
import { z } from "zod";
const text = z.string().trim().min(1).max(160);
const short = z.string().trim().min(1).max(48);
const value = z.number().finite();
const positive = value.positive();
const unique = (values: string[]) => new Set(values).size === values.length;
export const schema = z.object({
title: text.describe("結論を伝える見出し"),
subtitle: text.optional().describe("出典・時点・母集団や仮定"),
criteria:z.array(z.object({label:short,weight:positive}).strict()).min(2).max(6).describe("評価軸と重み（合計100）"),
options:z.array(z.object({label:short,scores:z.array(value.min(0).max(5)).min(2).max(6)}).strict()).min(2).max(4).describe("各評価軸に対応する0〜5点"),
}).strict().refine(d=>Math.abs(d.criteria.reduce((s,c)=>s+c.weight,0)-100)<1e-6&&unique(d.criteria.map(c=>c.label))&&unique(d.options.map(o=>o.label))&&d.options.every(o=>o.scores.length===d.criteria.length),"重み合計100・評価軸数・候補の一意性を確認");
export type Props = z.infer<typeof schema>;
/designs/weighted-decision-scorecard/source/meta.yaml
id: weighted-decision-scorecard
name:
ja: 重み付き選定スコアカード
en: Weighted Decision Scorecard
purpose:
ja: 評価軸の重みと点数を公開し、候補の加重得点を比較する。
en: Weighted Decision Scorecard with explicit source values and reading conditions.
status: published
still: ./still.png
category: decision
catalogOrder: 420
jobs:
- compare-choose
useCases:
- comparison
layoutKinds:
- table
tags:
- weighted-decision-scorecard
- decision
- offline
- responsive
whenToUse:
- ja: 評価軸の重みと点数を公開し、候補の加重得点を比較する。
en: Use to communicate weighted decision scorecard.
avoidWhen:
- ja: 同じ条件・単位で比較できないデータには使わない
en: Do not compare values with incompatible units, populations, or assumptions.
requiredInputs:
- ja: 評価は0〜5点。費用を評価に含める場合は採点基準を合意する。
en: Provide the source values, labels and decision conditions described by the schema.
relatedLayouts:
- comparison-table
- options-tradeoff
dataSchema:
title: string — 結論を伝える見出し
subtitle: string? — 出典・時点・母集団や仮定
criteria: array (label, weight) — 評価軸と重み（合計100）
options: array (label, scores) — 各評価軸に対応する0〜5点
sources: []
/designs/weighted-decision-scorecard/source/sample-data.json
{
"title": "加重得点はA案が首位、評価条件を共有する",
"subtitle": "架空サンプル｜レイアウトの使用例",
"criteria": [
{
"label": "業務適合",
"weight": 40
},
{
"label": "運用性",
"weight": 35
},
{
"label": "導入容易性",
"weight": 25
}
],
"options": [
{
"label": "A案",
"scores": [
4,
5,
4
]
},
{
"label": "B案",
"scores": [
5,
3,
4
]
},
{
"label": "C案",
"scores": [
3,
4,
5
]
}
]
}