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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Everything in this panel, including the contents behind each URL, in one Markdown file — Large, so it goes as a file (copy is for 32 KB and under)
Build an HTML document with "Cohort Retention". This layout runs, so there is no composition to rebuild — what it needs is content. ## What this layout does Cohort Retention 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 - `periods` — array (0, 1) — 開始からの経過期間 - `cohorts` — array (label, size, rates) — 初期母数・継続率。未観測期間は末尾のnull 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 cohort-retention <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/cohort-retention/source/template.tsx - https://design-vault.pages.dev/designs/cohort-retention/source/schema.ts - https://design-vault.pages.dev/designs/cohort-retention/source/sample-data.json - https://design-vault.pages.dev/designs/cohort-retention/sample.html
Template, input schema, sample data and metadata. This document was generated from those four. The generated document
/designs/cohort-retention/source/template.tsx
import type { ReactNode } from "react";
import type { Props } from "./schema";
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 rows=d.cohorts.map(c=>[c.label,c.size,...c.rates.map(v=>v===null?"未観測":v+"%")]);
return <section className="asset asset-cohort-retention"><style>{CSS}</style><header><p className="eyebrow">COHORT RETENTION</p><h1>{d.title}</h1>{d.subtitle && <p className="subtitle">{d.subtitle}</p>}</header>
<div className="desktop-only"><table className="ledger"><thead><tr><th>開始月 / 母数</th>{d.periods.map((p,i)=><th key={i}>{p}</th>)}</tr></thead><tbody>{d.cohorts.map((c,i)=><tr key={i}><td>{c.label} · n={c.size}</td>{c.rates.map((r,j)=><td key={j} style={{background:r===null?"var(--color-surface)":"color-mix(in srgb, var(--color-tertiary) "+(r*.22)+"%, var(--color-surface))"}}>{r===null?"未観測":r+"%"}</td>)}</tr>)}</tbody></table></div><div className="mobile-only"><Ledger heads={["開始月","母数",...d.periods]} rows={rows}/></div><Notes><p>初期母数はコホートごとに固定。復帰を含む継続率は必ずしも単調減少しません。未観測のセルは平均に含めません。</p></Notes>
<footer>同じ経過期間の列で比べる。未観測と0%を混同しない。</footer></section>;
}
/designs/cohort-retention/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 pct = value.min(0).max(100);
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"),
periods:z.array(short).min(3).max(8).describe("開始からの経過期間"),
cohorts:z.array(z.object({label:short,size:z.number().int().positive(),rates:z.array(pct.nullable()).min(3).max(8)}).strict()).min(2).max(6).describe("初期母数・継続率。未観測期間は末尾のnull"),
}).strict().refine(d=>unique(d.periods)&&unique(d.cohorts.map(c=>c.label))&&d.cohorts.every(c=>c.rates.length===d.periods.length&&c.rates[0]===100&&c.rates.every((v,i)=>v===null||!c.rates.slice(0,i).includes(null))),"開始は100%、未観測は末尾に置く");
export type Props = z.infer<typeof schema>;
/designs/cohort-retention/source/meta.yaml
id: cohort-retention
name:
ja: コホート継続率
en: Cohort Retention
purpose:
ja: 開始時期ごとに継続率を並べ、未観測期間と0%を区別する。
en: Cohort Retention with explicit source values and reading conditions.
status: published
still: ./still.png
category: analysis
catalogOrder: 340
jobs:
- measure-change
useCases:
- kpi
layoutKinds:
- table
tags:
- cohort-retention
- analysis
- offline
- responsive
whenToUse:
- ja: 開始時期ごとに継続率を並べ、未観測期間と0%を区別する。
en: Use to communicate cohort retention.
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: 同じ経過期間の列で比べる。未観測と0%を混同しない。
en: Provide the source values, labels and decision conditions described by the schema.
relatedLayouts:
- heatmap
- conversion-funnel
dataSchema:
title: string — 結論を伝える見出し
subtitle: string? — 出典・時点・母集団や仮定
periods: array (0, 1) — 開始からの経過期間
cohorts: array (label, size, rates) — 初期母数・継続率。未観測期間は末尾のnull
sources: []
/designs/cohort-retention/source/sample-data.json
{
"title": "新しいコホートほど初月の継続率が改善",
"subtitle": "架空サンプル｜レイアウトの使用例",
"periods": [
"開始",
"1か月",
"2か月",
"3か月",
"4か月"
],
"cohorts": [
{
"label": "4月",
"size": 420,
"rates": [
100,
65,
58,
52,
49
]
},
{
"label": "5月",
"size": 460,
"rates": [
100,
70,
61,
56,
null
]
},
{
"label": "6月",
"size": 480,
"rates": [
100,
76,
68,
null,
null
]
},
{
"label": "7月",
"size": 500,
"rates": [
100,
81,
null,
null,
null
]
}
]
}