Pricing and Packaging Decision
Pricing and Packaging Decision is a fictional OPF example for pricing teams. It demonstrates a realistic presentation structure with catalog-backed design and content payloads.
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Metadata
Source JSON
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"description": "Confirm current state, owners, and constraints."
},
{
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},
{
"when": "Jun",
"what": "Scale",
"description": "Expand the approach after risk review."
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{
"when": "Jul",
"what": "Embed",
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"color": "#0F172A"
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"bold": true
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{
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"description": "Use the same metric definitions every week."
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{
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"alt": "Pricing background image",
"mediaType": "image/png",
"description": "Original abstract demonstration artwork for this fictional organization. MIT licensed with OpenPresentation/opf; generated by scripts/gallery-artwork.mjs (v2). No fonts or external images are used."
},
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"alt": "Pricing field context",
"mediaType": "image/png",
"description": "Original abstract demonstration artwork for this fictional organization. MIT licensed with OpenPresentation/opf; generated by scripts/gallery-artwork.mjs (v2). No fonts or external images are used."
},
"demo-video": {
"src": "./media/northbeam-software-demo.mp4",
"title": "Pricing walkthrough",
"mediaType": "video/mp4"
},
"metric-data": {
"src": "./data/pricing-and-packaging-decision.csv",
"mediaType": "text/csv",
"title": "Pricing and Packaging Decision data"
},
"watermark": {
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"alt": "Northbeam Software watermark",
"mediaType": "image/png",
"description": "Original abstract demonstration artwork for this fictional organization. MIT licensed with OpenPresentation/opf; generated by scripts/gallery-artwork.mjs (v2). No fonts or external images are used."
}
},
"extensions": {
"example": {
"folder": "business-functions",
"density": "dense",
"scenario": "pricing-and-packaging-decision",
"generatedBy": "scripts/generate-example-suite.mjs"
}
},
"catalogs": {
"custom": {
"narratives": {
"pricing-and-packaging-decision-arc": {
"name": "Pricing Decision Arc",
"summary": "A custom arc for Northbeam Software.",
"description": "Pricing and Packaging Decision uses a compact evidence-to-decision arc for Northbeam Software.",
"beats": [
{
"id": "context",
"name": "Context",
"type": "text",
"layout": "text"
},
{
"id": "evidence",
"name": "Evidence",
"type": "chart",
"layout": "chart"
},
{
"id": "decision",
"name": "Decision",
"type": "list",
"layout": "list"
}
]
}
},
"themes": {
"northbeam-software-theme": {
"name": "Northbeam Software Working Theme",
"colorScheme": "corporate-blue",
"fontScheme": "noto-sans-gujarati",
"background": {
"type": "theme",
"slot": "light2"
},
"tags": [
"pricing",
"example"
]
}
},
"colorSchemes": {
"northbeam-software-signal": {
"name": "Northbeam Software Signal Palette",
"accent1": "#0F172A",
"accent2": "#1D4ED8",
"accent3": "#047857",
"accent4": "#B45309",
"accent5": "#BE123C",
"accent6": "#6D28D9",
"dark1": "#0F172A",
"dark2": "#334155",
"light1": "#FFFFFF",
"light2": "#F8FAFC",
"hyperlink": "#2563EB",
"followedHyperlink": "#7C3AED"
}
}
},
"default": {
"source": "https://www.pptx.gallery",
"audiences": {
"technical": {
"name": "Technical",
"summary": "Engineers, data scientists, and technical specialists requiring precision, methodology details, and system-level understanding.",
"description": "Engineers, data scientists, and technical specialists who expect precision, methodology, and system-level understanding. Show the methodology and cite data sources, prefer technical diagrams to metaphors, and do not shy away from dense information. Chart density can be high; 20-40 slides is normal.",
"seniority": "ic",
"technicalFluency": "high",
"decisionPower": "advisory",
"attentionBudgetMinutes": 45,
"recommendedNarratives": [
"data-story",
"situation-complication-resolution"
],
"recommendedTones": [
"technical",
"authoritative",
"conversational"
],
"tags": [
"internal",
"technical",
"practitioner"
]
},
"candidates": {
"name": "Candidates",
"summary": "Potential hires evaluating company, role, and people.",
"description": "Candidates are weighing a major life decision and have many alternatives. Lead with mission and why-now, show the team they'll work with, and be honest about the stage. Avoid generic recruiting copy — specifics build trust faster than polish.",
"seniority": "mixed",
"technicalFluency": "mixed",
"decisionPower": "decision-maker",
"attentionBudgetMinutes": 45,
"recommendedNarratives": [
"company-intro",
"golden-circle",
"rags-to-riches",
"venture-pitch"
],
"recommendedTones": [
"inspirational",
"casual",
"authoritative"
],
"tags": [
"external",
"hiring",
"recruiting"
]
}
},
"purposes": {
"educate": {
"name": "Educate",
"summary": "Teach a concept, process, product, or domain so the audience can use it correctly.",
"description": "Use when the primary job is learning. Structure around concepts, examples, practice, and checks for understanding rather than persuasion or reporting.",
"outcome": "The audience understands the material well enough to apply it.",
"successCriteria": [
"Definitions and examples are clear",
"Audience can apply the concept",
"Complexity builds progressively"
],
"recommendedNarratives": [
"educate",
"focus",
"company-intro"
],
"recommendedTones": [
"conversational",
"technical"
],
"tags": [
"learning",
"training",
"enablement"
]
}
},
"tones": {
"persuasive": {
"name": "Persuasive",
"summary": "Argument-led voice for sales, fundraising, and recommendation-driven decks.",
"description": "Frame every section as an argument that builds toward an ask. Surface objections, answer them, and pair claims with the strongest available proof. Read more like a memo than a report.",
"voiceCues": [
"Lead each section with the claim it's making.",
"Surface the strongest counter-argument and address it.",
"Pair every claim with proof — customer, benchmark, or analyst.",
"End on a clear ask with named owner and date."
],
"avoid": [
"Buried leads.",
"Symmetrical 'on one hand / on the other' framing without a verdict.",
"Information for its own sake — every chart should advance the argument.",
"Passive endings without a clear ask."
],
"samplePhrases": [
"Adopting our runtime cuts inference latency 8× while preserving accuracy.",
"The most common objection — 'we'll be locked in' — is addressed by our open OPF spec.",
"We're asking for a $30M Series B to ship into the enterprise tier."
],
"recommendedNarratives": [
"pitch-deck",
"venture-pitch",
"early-startup-pitch",
"persuasive-sales",
"project-proposal"
],
"tags": [
"sales",
"pitch",
"argumentative"
]
}
},
"themes": {
"minimal": {
"name": "Minimal",
"background": {
"type": "theme",
"slot": "dark2"
},
"colorScheme": "cool-horizon",
"description": "A clean, minimalistic theme with a focus on simplicity and readability. Ideal for professional, straightforward presentations.",
"fontScheme": "aptos",
"dimensions": "widescreen",
"variants": [
{
"id": "light",
"name": "Light",
"variant": "light1"
},
{
"id": "light-alt",
"name": "Light alt",
"variant": {
"background": "light1",
"accents": [
"accent6",
"accent5",
"accent4",
"accent1",
"accent3",
"accent2"
]
}
},
{
"id": "dark",
"name": "Dark",
"variant": "dark2"
},
{
"id": "dark-alt",
"name": "Dark alt",
"variant": {
"background": "dark2",
"accents": [
"accent6",
"accent5",
"accent4",
"accent1",
"accent3",
"accent2"
]
}
}
]
}
},
"colorSchemes": {
"corporate-blue": {
"name": "Corporate Blue",
"accent1": "#015DFE",
"accent2": "#0100A6",
"accent3": "#02ACFF",
"accent4": "#94A1B2",
"accent5": "#E3ECF3",
"accent6": "#5A82FC",
"dark1": "#000000",
"dark2": "#011842",
"followedHyperlink": "#954F72",
"hyperlink": "#0563C1",
"light1": "#FFFFFF",
"light2": "#F3F7FF",
"summary": "Legacy corporate blue palette for conservative business contexts.",
"description": "A classic corporate blue scheme with strong contrast and familiar PowerPoint-era business cues.",
"tags": [
"corporate",
"stable",
"trustworthy",
"conservative",
"professional"
]
},
"cool-horizon": {
"name": "Cool Horizon",
"accent1": "#2874A6",
"accent2": "#1B4F72",
"accent3": "#5499C7",
"accent4": "#7BDBB2",
"accent5": "#3AC67A",
"accent6": "#24A89E",
"dark1": "#000000",
"dark2": "#011842",
"followedHyperlink": "#551A8B",
"hyperlink": "#0000EE",
"light1": "#FFFFFF",
"light2": "#F0F0F0",
"summary": "Cool blue-green palette tuned for professional business decks.",
"description": "A balanced cool-toned scheme with deep navy, business blues, and teal accents. It works well across strategy, finance, and technical narratives.",
"tags": [
"professional",
"trustworthy",
"calm",
"technical",
"versatile"
]
}
},
"fontSchemes": {
"roboto": {
"name": "Roboto",
"app": "google-slides",
"languageFamily": "latin",
"languages": [],
"major": "Roboto",
"minor": "Roboto",
"textSample": "Perfect for tech",
"type": "sans-serif",
"description": "Roboto is a sans serif OPF font scheme for Latin presentations, using Roboto for both headings and body text."
},
"noto-sans-gujarati": {
"name": "Noto Sans Gujarati",
"app": "google-slides",
"languageFamily": "cs",
"languages": [
"gu"
],
"major": "Noto Sans Gujarati",
"minor": "Noto Sans Gujarati",
"textSample": "આ સારી સ્થિતિ છે",
"type": "sans-serif",
"description": "Noto Sans Gujarati is a sans serif OPF font scheme for complex script presentations, using Noto Sans Gujarati for both headings and body text."
},
"aptos": {
"name": "Aptos",
"app": "powerpoint",
"languageFamily": "latin",
"languages": [],
"major": "Aptos Display",
"minor": "Aptos",
"textSample": "Modern clean design",
"type": "sans-serif",
"description": "Aptos is a sans serif OPF font scheme for Latin presentations, using Aptos Display for headings with Aptos for body text."
}
},
"layouts": {
"cover": {
"name": "Cover",
"summary": "The opening slide: title, subtitle and an optional picture.",
"tags": [
"Openers and closers"
],
"design": {
"titleAlignment": "center",
"contentAlignment": "center"
},
"direction": "row",
"regions": [
{
"name": "title"
},
{
"name": "media",
"accepts": [
"image",
"video"
],
"role": "media",
"flow": "none",
"bleed": true
}
],
"description": "Open a presentation with its subject and a short introduction. Add a picture when it helps establish the context.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/cover.svg"
}
},
"text": {
"name": "Text",
"summary": "Prose. Several blocks sit side by side when short and stack when long.",
"tags": [
"Text"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"name": "body",
"accepts": [
"text",
"list",
"quote",
"code",
"group"
],
"role": "primary",
"flow": "auto"
}
],
"description": "Explain one idea in continuous prose. Use paragraphs or flowing blocks for detail that needs to be read in sequence.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/text.svg"
}
},
"chart": {
"name": "Chart",
"summary": "One to six charts, with an optional note.",
"tags": [
"Visuals"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"name": "charts",
"accepts": [
"chart",
"group"
],
"role": "primary",
"flow": "grid"
},
{
"name": "note",
"size": "auto",
"accepts": [
"text"
],
"role": "supporting",
"flow": "none"
}
],
"description": "Give a chart enough space to show its evidence. Use the title to state the conclusion and labels to explain the measures.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/chart.svg"
}
},
"table-beside": {
"name": "Table beside",
"summary": "A table with commentary beside it.",
"tags": [
"Visuals"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"direction": "row",
"regions": [
{
"name": "table",
"size": 3,
"accepts": [
"table"
],
"role": "primary",
"flow": "none"
},
{
"name": "notes",
"size": 2,
"accepts": [
"text",
"list",
"metric",
"quote"
],
"role": "supporting",
"flow": "column"
}
]
}
],
"description": "Place a table beside its interpretation. Use the supporting text to explain the conclusion without repeating every cell.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/table-beside.svg"
}
},
"timeline": {
"name": "Timeline",
"summary": "Dated events or a roadmap along one axis, with optional notes.",
"tags": [
"Groups of items"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"name": "timeline",
"accepts": [
"timeline"
],
"role": "primary",
"flow": "none"
},
{
"name": "notes",
"size": "auto",
"accepts": [
"text",
"list",
"metric"
],
"role": "supporting",
"flow": "auto"
}
],
"description": "Show events or milestones in chronological order. Label each item with a date or stage and a concise description.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/timeline.svg"
}
},
"chart-beside": {
"name": "Chart beside",
"summary": "A chart with the takeaway beside it.",
"tags": [
"Visuals"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"direction": "row",
"regions": [
{
"name": "chart",
"size": 3,
"accepts": [
"chart"
],
"role": "primary",
"flow": "none"
},
{
"name": "notes",
"size": 2,
"accepts": [
"text",
"list",
"metric",
"quote",
"chart"
],
"role": "supporting",
"flow": "column"
}
]
}
],
"description": "Pair a chart with an explanation of its result. Keep the text focused on the pattern or decision supported by the data.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/chart-beside.svg"
}
},
"image-beside": {
"name": "Image beside",
"summary": "A picture or video beside text.",
"tags": [
"Visuals"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"direction": "row",
"regions": [
{
"name": "media",
"accepts": [
"image",
"video"
],
"role": "media",
"flow": "none",
"anchor": "middle"
},
{
"name": "body",
"accepts": [
"text",
"list",
"metric",
"quote",
"group"
],
"role": "primary",
"flow": "auto",
"anchor": "middle"
}
]
}
],
"description": "Explain a visual alongside its supporting text. Use the text to direct attention to the meaningful parts of the image.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/image-beside.svg"
},
"design": {
"imageFit": "contain"
}
},
"code": {
"name": "Code",
"summary": "Source code with the explanation beside it.",
"tags": [
"Visuals"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"direction": "row",
"regions": [
{
"name": "code",
"size": 3,
"accepts": [
"code"
],
"role": "primary",
"flow": "column"
},
{
"name": "notes",
"size": 2,
"accepts": [
"text",
"list"
],
"role": "supporting",
"flow": "column"
}
]
}
],
"description": "Show a code example or technical excerpt. Keep the excerpt focused and use the title or caption to explain its purpose.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/code.svg"
}
},
"list": {
"name": "List",
"summary": "Bulleted or numbered points; one long list flows into columns.",
"tags": [
"Text"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"name": "body",
"accepts": [
"list",
"text",
"group"
],
"role": "primary",
"flow": "auto",
"listColumns": "auto"
}
],
"description": "Present several related points in a clear sequence. Use bullets for independent points or numbered items for an ordered list.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/list.svg"
}
}
}
}
}
}