Model Governance Review
Model Governance Review is a fictional OPF example for analytics teams. It demonstrates a realistic presentation structure with catalog-backed design and content payloads.
Metadata
Source
examples/gallery/business-functions/model-governance-review.opf.json
Slides
10
Audience
regulators, candidates
Purpose
educate
Tone
formal
Source JSON
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"description": "Model Governance Review is a fictional OPF example for analytics teams. It demonstrates a realistic presentation structure with catalog-backed design and content payloads.",
"filename": "model-governance-review",
"language": "english-ca",
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{
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"successCriteria": [
"The audience can state the decision in one sentence.",
"The owner and next checkpoint are explicit."
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"voiceCues": [
"Make the decision visible.",
"Use concrete operating language."
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"Do not over-explain obvious context."
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"description": "Model Governance Review uses a compact evidence-to-decision arc for ClearLake Data.",
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"center": {
"text": "Internal planning draft"
},
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"slides": [
{
"id": "s1",
"section": "Opening",
"layout": "title-subtitle",
"tag": "Analytics",
"title": "Model Governance Review",
"subtitle": "ClearLake Data Analytics",
"notes": "Open by naming the decision: Approve controls for customer-facing predictive models."
},
{
"id": "s2",
"section": "Context",
"layout": "text-3x",
"title": "Why This Matters",
"text": [
"ClearLake Data should focus the next cycle on ",
{
"text": "approve controls for customer-facing predictive models",
"bold": true,
"color": "#B45309"
},
" while making the operating tradeoffs clear to analytics stakeholders."
]
},
{
"id": "s3",
"section": "Evidence",
"layout": "chart-3x",
"title": "Signal Trend",
"type": "chart",
"chart": {
"type": "funnel",
"data": {
"columns": [
"Quarter",
"Current",
"Baseline"
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"rows": [
[
"Q1",
16,
13
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[
"Q2",
20,
15
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[
"Q3",
23,
17
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[
"Q4",
27,
19
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{
"id": "s4",
"section": "Options",
"layout": "table-1x",
"title": "Decision Options",
"table": {
"columns": [
"Workstream",
"Owner",
"Status",
"Decision"
],
"rows": [
[
"Analytics",
"Program lead",
"At risk",
"Continue"
],
[
"Data and reporting",
"Analytics",
"On track",
"Tighten metric definitions"
],
[
"Field adoption",
"Operations",
"Watch",
"Add weekly office hours"
]
]
}
},
{
"id": "s5",
"section": "Plan",
"layout": "text-2x",
"title": "Execution Timeline",
"type": "timeline",
"timeline": {
"name": "Analytics execution path",
"description": "Major milestones for ClearLake Data.",
"events": [
{
"when": "Jul",
"what": "Baseline",
"description": "Confirm current state, owners, and constraints."
},
{
"when": "Aug",
"what": "Pilot",
"description": "Run a narrow pilot with visible success criteria."
},
{
"when": "Sep",
"what": "Scale",
"description": "Expand the approach after risk review."
},
{
"when": "Oct",
"what": "Embed",
"description": "Move reporting and routines into steady-state operations."
}
]
}
},
{
"id": "s39-regions",
"section": "Operating model",
"layout": "number-3x",
"title": "Operating Model",
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"value": "$820K",
"label": "Primary signal",
"description": "Approve controls for customer-facing predictive models",
"trend": "down"
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"ClearLake Data should focus the next cycle on ",
{
"text": "approve controls for customer-facing predictive models",
"bold": true,
"color": "#B45309"
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" while making the operating tradeoffs clear to analytics stakeholders."
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"attribution": "Analytics working group",
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"At risk",
"Continue"
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"Analytics",
"On track",
"Tighten metric definitions"
],
[
"Field adoption",
"Operations",
"Watch",
"Add weekly office hours"
]
]
}
},
"notes": "Use this slide to slow the conversation down around ownership and operating rhythm."
},
{
"id": "s39-blocks",
"section": "Evidence",
"layout": "number-4x",
"title": "Evidence Pack",
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{
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25,
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24
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32,
26
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36,
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{
"quote": {
"text": "Teams already know where the friction is; the deck makes the sequence of choices explicit.",
"attribution": "Program sponsor",
"source": "Planning interview"
}
},
{
"metric": {
"value": "18%",
"label": "Expected improvement",
"unit": "%",
"delta": "+6 pts",
"trend": "up"
}
}
]
},
{
"id": "s39-image",
"section": "Context",
"layout": "image-bleed",
"title": "Field Context",
"type": "image",
"image": {
"src": "asset:supporting-photo",
"alt": "Analytics context photo for ClearLake Data",
"title": "Analytics context"
},
"notes": "Use the image as context, not decoration."
},
{
"id": "s39-code",
"section": "Appendix",
"layout": "code-1x",
"title": "Decision Rule",
"code": {
"source": "const score = urgency * confidence;\nif (score >= threshold) {\n routeToSponsor(workstream);\n} else {\n keepInWeeklyReview(workstream);\n}",
"language": "ts",
"filename": "model-governance-review-rule.ts"
},
"hidden": false
},
{
"id": "s10",
"section": "Close",
"layout": "list-6x",
"title": "Decision and Follow Through",
"items": [
[
"Commit to ",
{
"text": "approve controls for customer-facing predictive models",
"bold": true
}
],
{
"text": "Name the sponsor and operating owner.",
"description": "Keep one person accountable for momentum."
},
{
"text": "Publish the progress rhythm.",
"description": "Use the same metric definitions every week."
},
{
"text": "Return with proof.",
"description": "Bring customer, employee, resident, or learner evidence into the next review."
}
]
}
],
"organization": {
"id": "clearlake-data",
"name": "ClearLake Data",
"legalName": "ClearLake Data, Inc.",
"logo": "asset:brand-logo",
"domain": "clearlake-data.example",
"email": "hello@clearlake-data.example",
"phone": "+15551000038",
"tagline": "Approve controls for customer-facing predictive models",
"role": "primary",
"socials": {
"x": "@clearlake-data",
"facebook": "https://facebook.example/clearlake-data"
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},
"speaker": {
"id": "speaker",
"name": "Samira Okafor",
"title": "Chief of Staff",
"organizationId": "clearlake-data",
"bio": "Leads analytics planning for ClearLake Data.",
"socials": {
"x": "@clearlake-data-speaker"
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},
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"takeaway": "Approve controls for customer-facing predictive models",
"duration": 21,
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"analytics",
"educate",
"formal",
"dense"
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"src": "./data/model-governance-review.csv",
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"title": "Model Governance Review data"
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