Content Inventory & Taxonomy Complexity Estimator

ANA›Life Services Authority›National Calculator Authority›Content Inventory & Taxonomy Complexity Estimator

.calc-container { max-width: 640px; margin: 2rem 0; padding: 1.5rem; background: #fff; border: 1px solid #ddd; border-radius: 8px; box-shadow: 0 1px 3px rgba(0,0,0,0.06); font-family: system-ui, -apple-system, sans-serif; } .calc-container h3 { font-family: Georgia, serif; font-size: 1.15rem; color: #1a1a1a; margin-bottom: 1rem; padding-bottom: 0.5rem; border-bottom: 2px solid var(--ac, #3d5a80); } .calc-row { display: flex; align-items: center; gap: 0.75rem; margin-bottom: 0.75rem; flex-wrap: wrap; } .calc-row label { min-width: 160px; font-size: 0.9rem; color: #333; font-weight: 500; } .calc-row input[type="number"], .calc-row select { flex: 1; min-width: 120px; max-width: 200px; padding: 0.5rem 0.6rem; border: 1px solid #ccc; border-radius: 4px; font-size: 0.9rem; font-family: system-ui, sans-serif; color: #1a1a1a; background: #fafaf8; } .calc-row input:focus, .calc-row select:focus { outline: none; border-color: var(--ac, #3d5a80); box-shadow: 0 0 0 2px rgba(26,74,138,0.12); } .calc-row .unit { font-size: 0.82rem; color: #888; min-width: 30px; } .calc-btn { display: inline-block; margin-top: 0.5rem; padding: 0.55rem 1.5rem; background: var(--ac, #3d5a80); color: #fff; border: none; border-radius: 4px; font-size: 0.9rem; font-weight: 600; cursor: pointer; font-family: system-ui, sans-serif; } .calc-btn:hover { opacity: 0.9; } .calc-result { margin-top: 1.25rem; padding: 1rem 1.25rem; background: #f0f6fc; border-left: 3px solid var(--ac, #3d5a80); border-radius: 0 6px 6px 0; display: none; } .calc-result.visible { display: block; } .calc-result-label { font-size: 0.78rem; text-transform: uppercase; letter-spacing: 0.06em; color: #666; margin-bottom: 0.25rem; } .calc-result-value { font-size: 1.6rem; font-weight: 700; color: var(--ac, #3d5a80); } .calc-result-detail { font-size: 0.85rem; color: #555; margin-top: 0.5rem; line-height: 1.5; } .calc-note { margin-top: 1rem; font-size: 0.8rem; color: #888; font-style: italic; } .calc-grid { display: grid; grid-template-columns: 1fr 1fr; gap: 0.75rem; margin-top: 0.75rem; } .calc-grid-item { padding: 0.6rem 0.8rem; background: #f8f9fa; border-radius: 4px; border: 1px solid #eee; } .calc-grid-item .label { font-size: 0.75rem; color: #888; text-transform: uppercase; letter-spacing: 0.04em; } .calc-grid-item .value { font-size: 1.1rem; font-weight: 600; color: #1a1a1a; } @media (max-width: 720px) { .calc-row { flex-direction: column; align-items: flex-start; gap: 0.3rem; } .calc-row label { min-width: auto; } .calc-row input[type="number"], .calc-row select { max-width: 100%; width: 100%; } .calc-grid { grid-template-columns: 1fr; } } .calc-chart { margin: 1rem 0; text-align: center; } .calc-chart svg { max-width: 100%; height: auto; } .calc-chart-legend { display: flex; flex-wrap: wrap; justify-content: center; gap: 0.6rem 1.2rem; margin-top: 0.6rem; font-size: 0.8rem; color: #555; } .calc-chart-legend span { display: inline-flex; align-items: center; gap: 0.3rem; } .calc-chart-legend i { display: inline-block; width: 10px; height: 10px; border-radius: 2px; font-style: normal; } .calc-related { max-width: 640px; margin: 2rem 0 1rem; padding: 1.25rem 1.5rem; background: #f8f9fa; border: 1px solid #e8e8e8; border-radius: 8px; } .calc-related h3 { font-family: Georgia, serif; font-size: 1rem; color: #1a1a1a; margin: 0 0 0.75rem; padding-bottom: 0.4rem; border-bottom: 2px solid var(--ac, #3d5a80); } .calc-related-list { list-style: none; padding: 0; margin: 0 0 0.75rem; display: grid; grid-template-columns: 1fr 1fr; gap: 0.4rem 1.5rem; } .calc-related-list li a { font-size: 0.88rem; color: var(--ac, #3d5a80); text-decoration: none; } .calc-related-list li a:hover { text-decoration: underline; } .calc-browse-all { margin: 0.5rem 0 0; font-size: 0.9rem; font-weight: 600; } .calc-browse-all a { color: var(--ac, #3d5a80); text-decoration: none; } .calc-browse-all a:hover { text-decoration: underline; } @media (max-width: 720px) { .calc-related-list { grid-template-columns: 1fr; } }

Content Inventory & Taxonomy Complexity Estimator

Estimates the overall complexity score of a content inventory and taxonomy system based on content volume, hierarchy depth, cross-linking density, content types, and governance overhead. Use this to plan migration, audit, or redesign efforts.

Total Content Items (pages, assets, records)

Taxonomy Hierarchy Depth (levels, 1–10)

Number of Top-Level Categories

Total Taxonomy Nodes (all levels combined)

Number of Distinct Content Types

Average Cross-Links per Item (related/tagged items)

Number of Metadata Fields per Item

Number of Content Owners / Stewards

Number of Languages / Locales

Average Annual Update Frequency per Item (times/year)

Calculate Complexity

function conCalc() { // --- Gather inputs --- var totalItems = parseFloat(document.getElementById('con-total-items').value); var taxDepth = parseFloat(document.getElementById('con-taxonomy-depth').value); var topCats = parseFloat(document.getElementById('con-top-categories').value); var totalNodes = parseFloat(document.getElementById('con-total-nodes').value); var contentTypes = parseFloat(document.getElementById('con-content-types').value); var crossLinks = parseFloat(document.getElementById('con-cross-links').value); var metaFields = parseFloat(document.getElementById('con-metadata-fields').value); var owners = parseFloat(document.getElementById('con-owners').value); var languages = parseFloat(document.getElementById('con-languages').value); var updateFreq = parseFloat(document.getElementById('con-update-freq').value);

var errors = [];

if (isNaN(totalItems) || totalItems 10) errors.push("Taxonomy Depth must be 1–10."); if (isNaN(topCats) || topCats 0) { resultDiv.style.display = 'block'; resultDiv.innerHTML = 'Please fix the following:' + errors.map(function(e){ return ''; }).join('') + ''; return; }

// --------------------------------------------------------------- // COMPONENT SCORES (each normalised to a 0–100 scale) // ---------------------------------------------------------------

// 1. Volume Score — log10 scale; 1 item → 0, 1 000 000 items → 100 var volumeScore = Math.min(100, (Math.log10(totalItems) / 6) * 100);

// 2. Taxonomy Structure Score // Branching factor = totalNodes / topCats (avg children per top node) // Score = depth * log2(branchingFactor + 1) normalised to max depth=10, branch=32 → log2(33)≈5 var branchingFactor = totalNodes / topCats; var taxStructScore = Math.min(100, (taxDepth * Math.log2(branchingFactor + 1)) / (10 * Math.log2(33)) * 100);

// 3. Content-Type Diversity Score — sqrt scale; 1 type → 0, 50 types → 100 var typeScore = Math.min(100, (Math.sqrt(contentTypes) / Math.sqrt(50)) * 100);

// 4. Cross-Link Density Score — log scale; 0 links → 0, 50 links → 100 var crossScore = Math.min(100, (Math.log1p(crossLinks) / Math.log1p(50)) * 100);

// 5. Metadata Richness Score — linear; 0 fields → 0, 50 fields → 100 var metaScore = Math.min(100, (metaFields / 50) * 100);

// 6. Governance Score — items per owner (higher ratio = more complex governance) // Ratio capped at 1000 items/owner → 100 var itemsPerOwner = totalItems / owners; var govScore = Math.min(100, (Math.log10(itemsPerOwner + 1) / Math.log10(1001)) * 100);

// 7. Localisation Score — linear; 1 language → 0, 20 languages → 100 var locScore = Math.min(100, ((languages - 1) / 19) * 100);

// 8. Churn Score — update frequency; 0/yr → 0, 52/yr (weekly) → 100 var churnScore = Math.min(100, (Math.log1p(updateFreq) / Math.log1p(52)) * 100);

// --------------------------------------------------------------- // WEIGHTED COMPOSITE SCORE (weights sum to 1.0) // --------------------------------------------------------------- var W_volume = 0.20; var W_taxStruct= 0.20; var W_type = 0.10; var W_cross = 0.15; var W_meta = 0.10; var W_gov = 0.10; var W_loc = 0.10; var W_churn = 0.05;

var compositeScore = W_volume * volumeScore + W_taxStruct * taxStructScore+ W_type * typeScore + W_cross * crossScore + W_meta * metaScore + W_gov * govScore + W_loc * locScore + W_churn * churnScore;

// --------------------------------------------------------------- // DERIVED ESTIMATES // --------------------------------------------------------------- // Estimated audit hours: base 0.05 h/item, scaled by composite score var auditHours = totalItems * 0.05 * (1 + compositeScore / 100);

// Estimated migration effort (person-days): audit hours / 6 h/day * complexity multiplier var migrationDays = (auditHours / 6) * (1 + compositeScore / 200);

// Recommended taxonomy governance FTEs: items / (owners * 500 items/FTE/yr) * complexity var recommendedFTEs = (totalItems / 500) * (1 + compositeScore / 100) / owners; recommendedFTEs = Math.max(0.1, recommendedFTEs);

// Complexity band var band, bandColor, advice; if (compositeScore ';

var rows = [ ["Composite Complexity Score", compositeScore.toFixed(1) + " / 100", '' + band + ''], ["Volume Score (20%)", volumeScore.toFixed(1) + " / 100", ""], ["Taxonomy Structure Score (20%)", taxStructScore.toFixed(1) + " / 100", "Depth " + taxDepth + ", branching factor " + branchingFactor.toFixed(1)], ["Content-Type Diversity (10%)", typeScore.toFixed(1) + " / 100", contentTypes + " types"], ["Cross-Link Density (15%)", crossScore.toFixed(1) + " / 100", crossLinks + " avg links/item"], ["Metadata Richness (10%)", metaScore.toFixed(1) + " / 100", metaFields + " fields"], ["Governance Load (10%)", govScore.toFixed(1) + " / 100", Math.round(itemsPerOwner) + " items/owner"], ["Localisation (10%)", locScore.toFixed(1) + " / 100", languages + " language(s)"], ["Content Churn (5%)", churnScore.toFixed(1) + " / 100", updateFreq + " updates/yr/item"], ];

rows.forEach(function(r, i) { var bg = i === 0 ? '#f0f4ff' : (i % 2 === 0 ? '#fafafa' : '#fff'); html += '' + '' + r[0] + '' + '' + r[1] + '' + '' + r[2] + '' + ''; }); html += '';

html += '### Effort Estimates '; html += ''; var effortRows = [ ["Estimated Content Audit Effort", Math.round(auditHours).toLocaleString() + " hours"], ["Estimated Migration Effort", Math.round(migrationDays).toLocaleString() + " person-days"], ["Recommended Governance FTEs", recommendedFTEs.toFixed(2) + " FTE(s)"], ]; effortRows.forEach(function(r, i) { var bg = i % 2 === 0 ? '#fafafa' : '#fff'; html += '' + '' + r[0] + '' + '' + r[1] + '' + ''; }); html += '';

html += '' + 'Recommendation: ' + advice + '';

resultDiv.style.display = 'block'; resultDiv.innerHTML = html; }

#### Formulas

Component Scores (each 0–100):

Volume Score = min(100, log₁₀(totalItems) / 6 × 100)
Taxonomy Structure Score = min(100, depth × log₂(branchingFactor + 1) / (10 × log₂(33)) × 100) where branchingFactor = totalNodes / topCategories
Content-Type Diversity Score = min(100, √contentTypes / √50 × 100)
Cross-Link Density Score = min(100, ln(crossLinks + 1) / ln(51) × 100)
Metadata Richness Score = min(100, metadataFields / 50 × 100)
Governance Load Score = min(100, log₁₀(itemsPerOwner + 1) / log₁₀(1001) × 100)
Localisation Score = min(100, (languages − 1) / 19 × 100)
Churn Score = min(100, ln(updateFreq + 1) / ln(53) × 100)

Composite Score = 0.20 × Volume + 0.20 × TaxStructure + 0.10 × TypeDiversity + 0.15 × CrossLink + 0.10 × Metadata + 0.10 × Governance + 0.10 × Localisation + 0.05 × Churn

Audit Hours = totalItems × 0.05 × (1 + compositeScore / 100)

Migration Person-Days = auditHours / 6 × (1 + compositeScore / 200)

Recommended FTEs = max(0.1, (totalItems / 500) × (1 + compositeScore / 100) / owners)

Complexity Bands: Low < 20 · Moderate 20–40 · High 40–60 · Very High 60–80 · Extreme ≥ 80

#### Assumptions & References

Audit effort baseline of 0.05 h/item is derived from industry benchmarks for content audits (Halvorson & Rach, Content Strategy for the Web, 2012).

Content Inventory & Taxonomy Complexity Estimator

Content Inventory & Taxonomy Complexity Estimator

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Content Inventory & Taxonomy Complexity Estimator

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