Build a Content Factory Playbook

Create a reusable content system for multi-platform video production.

Introduction

30 Second Summary

Creating content for one platform is manageable. Creating consistent, on-brand content across YouTube, Facebook, and TikTok for a company with 26+ courses and multiple audience segments is a different challenge entirely. Without a system, every video and every post feels like starting from scratch.

In this project, you will build a complete Content Factory Playbook for Datapot Analytics that transforms their course expertise into a repeatable, scalable content production system. You will create prompt templates, production workflows, and distribution guides that let anyone on the team produce professional content without reinventing the process each time.

What You'll Build

A professional playbook document combining content pillars, a Claude prompt library, Camtasia production workflows, and a multi-platform distribution matrix for YouTube, Facebook, and TikTok.

By the end of this project, you'll have:

  • A Content Factory Playbook document with brand foundation, content pillars, and quality gates tailored to Datapot's courses and audiences.
  • A Claude prompt library with 6+ reusable templates that produce on-brand video scripts, hooks, captions, and platform-specific reformatting.
  • A working sample content piece produced end-to-end using the playbook system, proving the pipeline works.
  • Secret Mission: Design a 5-piece AI Course Launch content sequence promoting Datapot's new AI-integrated courses.

Are there any prerequisites?

This project assumes intermediate familiarity with content strategy concepts like pillars, editorial workflows, and audience segmentation. You should already have Camtasia installed on your machine and a Claude account ready to use. You will also need Google Docs (free) for the playbook document.

Set Up Your Playbook Document

A content factory only works when the entire system lives in one accessible place. Without a central document, workflows scatter across sticky notes, Slack threads, and forgotten bookmarks.

In this step, you'll create the playbook document that will house Datapot's entire content production system. You'll also set up the two tools that power the factory: Claude for generating content and Camtasia for video production.

In this step, get ready to:
  • Create the Datapot Content Factory Playbook document with its section skeleton.
  • Open Claude as your content generation engine.
  • Confirm Camtasia is ready for video production work.
Create the playbook document in Google Docs

The playbook needs a clear skeleton so every team member knows exactly where to find each part of the system. You'll set up six sections that map to the full content factory pipeline.

  • Open your browser and go to docs.google.com.
  • Sign in with your Google account if prompted.
  • Click the Blank document option (the large + icon) to create a new document.
  • Click the Untitled document text in the top-left corner and replace it with Datapot Content Factory Playbook.

Now add the six section headers that form the playbook skeleton. Each header will become a major section you'll fill in throughout this project.

  • Type Brand Foundation on the first line of the document body.
  • Select the text, then click the Normal text dropdown in the toolbar and choose Heading 1.
  • Press Enter to move to a new line.
  • Repeat this process for the remaining five headers, each on its own line as Heading 1:
  • Content Pillars
  • Prompt Library
  • Production Pipeline
  • Distribution Matrix
  • Quality Gates

Why these six sections?

Each section maps to a stage in the content factory pipeline. Brand Foundation defines who you are. Content Pillars define what you talk about. Prompt Library holds your AI generation templates.

Production Pipeline standardizes how you record and edit. Distribution Matrix maps content to platforms. Quality Gates ensures nothing goes live without a check.

Your document should now have six Heading 1 lines with empty space between them. Google Docs saves automatically, so you don't need to do anything extra.

✔️ Awesome, I've got everything!

Great. Your playbook skeleton is ready for the content you'll build in the next steps.

ⓧ I'd like to double check the full structure

Your document should look like this, with each line formatted as Heading 1:

# Brand Foundation

# Content Pillars

# Prompt Library

# Production Pipeline

# Distribution Matrix

# Quality Gates

The document title in the top-left should read Datapot Content Factory Playbook. Each section is empty for now.

Don't see the Heading 1 option?

Make sure you're clicking the style dropdown in the toolbar (it usually says Normal text by default), not the font name dropdown next to it. You can also use the keyboard shortcut Cmd+Option+1 (macOS) or Ctrl+Alt+1 (Windows) to apply Heading 1 directly.

help me format headings in Google Docs

Open Claude in a separate browser tab

Claude will be your content generation engine throughout this project. You'll use it to draft scripts, generate hooks, and repurpose content across platforms.

  • Open a new browser tab (keep your Google Doc open in the first tab).
  • Navigate to claude.ai and sign in if prompted.
  • Verify you see the chat interface with a text input field at the bottom of the screen.
  • Type a quick test message like Hello, I'm building a content playbook for Datapot Analytics and press Enter to confirm you can start a conversation.

You should see Claude respond with a message. This confirms your free tier account is working and ready for the prompt templates you'll build in Step 3.

Keep both tabs open side by side

Throughout this project, you'll frequently switch between your playbook document and Claude. Consider snapping them side by side using Split View (macOS) or Snap Layouts (Windows key + arrow keys on Windows).

Confirm Camtasia is ready for production

Camtasia handles the video recording and editing side of the content factory. A quick check now saves troubleshooting later when you're mid-recording.

  • Press the Windows key to open your search bar.
  • Type Camtasia and press Enter to open it.
  • Wait for Camtasia to fully load to its home screen or editor view.
  • Check whether you have any existing Datapot project templates or recording presets already saved. Look in the Templates or Presets areas if available.
  • Make a mental note (or jot a line in your playbook under Production Pipeline) about what exists. This helps you build on existing assets rather than starting from scratch in Step 4.

What if I don't have any Datapot templates yet?

That's completely fine. Most teams start with no templates at all. You'll create recording presets and export settings in Step 4 when you build the production pipeline section of your playbook.

You can close Camtasia for now. You won't need it again until Step 4.

Your workspace is ready. You have a structured playbook document waiting to be filled, Claude ready to generate content, and Camtasia confirmed for production. Next up, you'll research Datapot's brand voice and define the four content pillars that drive everything the factory produces.

Define Content Pillars and Brand Voice

Your playbook skeleton is ready with six clean sections waiting to be filled. Now it's time to build the strategic foundation that makes everything else in the system work.

Before writing scripts or recording videos, you need clarity on two things: what Datapot sounds like (brand voice) and what Datapot talks about (content pillars). This step defines both by pulling real data from datapot.vn and mapping it to a repeatable structure.

In this step, get ready to:
  • Research Datapot's brand voice from datapot.vn and document a Brand Voice Guide.
  • Define 4 content pillars mapped to Datapot's courses and audience segments.
  • Document audience personas, best formats, posting frequency, and 5 topic ideas for each pillar.
Research and write the Brand Voice Guide

A brand voice guide ensures every piece of content sounds like it came from the same team. Without one, content produced by different people (or by AI) drifts in tone and messaging.

  • Open datapot.vn in a new browser tab.
  • Browse the homepage, at least two course pages (e.g., the DAFP page and the PL-300 page), and the FAQ section.
  • As you read, note the language patterns Datapot uses to describe themselves and their courses.

What should I look for on the website?

Pay attention to how Datapot describes outcomes ("Lam chu du lieu, Lam chu tuong lai" means "Mastering data, Mastering the future"). Notice the balance between professional credentials and approachable, student-centered language.

Look at phrases they repeat across pages. These reveal their core messaging priorities: the Microsoft partnership, practical/hands-on learning, and career outcomes.

Now translate your research into a structured Brand Voice Guide.

  • Switch back to your Datapot Content Factory Playbook Google Doc.
  • Click into the Brand Foundation section.
  • Add the subheading "Brand Voice Guide" and fill in the following four components:

Use this structure for your Brand Voice Guide:

## Brand Voice Guide

### Tone
- Professional but approachable
- Vietnamese-first (Vietnamese is primary language, English used for technical terms and Microsoft course codes)
- Confident without being boastful
- Student-outcome focused

### Key Messages (weave these into all content)
1. Microsoft Training Services Partner since 2021 (globally recognized certifications)
2. Outcome-based education (practical results, real business problems)
3. Practical/hands-on methodology (8+ years, 10,000+ alumni, 100+ corporate partners)

### Banned Phrases
- Overly salesy language ("limited time offer!", "act now!", "guaranteed job")
- Unsubstantiated claims ("best in Vietnam", "#1 training provider")
- Jargon without explanation (don't assume viewers know what DAX or T-SQL means)
- Negative comparisons to competitors

### Voice Exemplars (pulled from datapot.vn)
1. [Paste a sentence from the homepage that captures Datapot's encouraging tone]
2. [Paste a course description phrase that shows outcome-focused language]
3. [Paste a testimonial excerpt or instructor description that shows credibility + warmth]

What does this structure do?

The tone section sets the emotional register for all content. The key messages are facts you want to surface repeatedly across videos. Banned phrases prevent the team from slipping into patterns that damage trust.

Voice exemplars are real quotes from the website that serve as reference benchmarks. When you or Claude generate new content, you can compare it against these exemplars to check if it "sounds like Datapot."

  • Fill in the three voice exemplar slots by copying real sentences from datapot.vn that demonstrate the tone you documented.
  • Check that your Brand Foundation section has all four components: Tone, Key Messages, Banned Phrases, and Voice Exemplars with real website copy pasted in.

Can't find good exemplar sentences?

Try the DAFP course page at datapot.vn/data-analytics-course. It contains detailed descriptions of outcomes, methodology, and instructor credentials. The FAQ page also uses a clear, approachable tone that's good for exemplars.

Help me find voice exemplars from Datapot's website that show their professional-but-approachable tone

Define the 4 content pillars

Content pillars are the 3-5 recurring themes that all your content maps back to. They prevent the "what should we post today?" problem by giving every piece of content a clear strategic home.

Why exactly 4 pillars for Datapot?

Datapot serves four distinct audience segments: career changers starting from scratch, current learners deepening specific tools, enterprise decision-makers buying corporate training, and forward-looking professionals exploring AI. Each pillar maps to one segment and connects directly to specific courses in the catalog.

  • In your Google Doc, click into the Content Pillars section.
  • Add the following 4 pillar definitions with their linked courses:
## Content Pillars

### Pillar 1: Career Transformation
- Target: Career changers entering data analytics
- Linked courses: DAF (Data Analytics Foundation, 52h), DAFP (Data Analytics Foundation Plus, 108h), CRDA (Data Analytics Preparation)
- Core angle: "You can become a data analyst" - show the path from zero to employable

### Pillar 2: Tool Mastery
- Target: Current learners deepening specific technical skills
- Linked courses: PL-300 (Power BI Data Analyst, 32h), DP-080 (Transact-SQL), PYDA (Python for Data Analytics), EXDA (Excel for Data Analytics)
- Core angle: "Master your daily tools" - practical tips, shortcuts, real-world use cases

### Pillar 3: Industry Insights
- Target: Enterprise decision-makers and team leads
- Linked courses: Corporate training packages, BOPA (Power Apps/Automate/Power BI)
- Core angle: "Data-driven teams win" - trends, case studies, ROI of upskilling
- Industries to reference: Banking, Fintech, Telco, Marketing, HR

### Pillar 4: AI & Future Skills
- Target: Forward-looking professionals preparing for AI integration
- Linked courses: AI-900 (Azure AI Fundamentals, 12h), DP-600 (Microsoft Fabric), upcoming AI + analytics courses
- Core angle: "Stay ahead of the AI curve" - what's changing and how to adapt

What does this structure do?

Each pillar names a target audience, links to specific Datapot courses, and states a "core angle." The core angle is the emotional hook. Every video, post, or caption under that pillar should connect back to its core angle.

The linked courses ensure content always has a clear call-to-action destination. When a Tool Mastery video teaches Power BI DAX formulas, it naturally points viewers to the PL-300 course.

  • Paste this pillar structure into your Content Pillars section.
  • Review each pillar's linked courses and confirm they match Datapot's current catalog at datapot.vn/shop/.
Document audience, formats, frequency, and topics for each pillar

Each pillar needs enough detail that any team member can pick it up and start creating. This means defining who you're talking to, how you'll reach them, how often, and what specific topics to cover first.

  • Below each pillar definition you just added, expand with the detailed documentation shown below.
  • Start with Pillar 1 and work through all four.
### Pillar 1: Career Transformation - Detail

**Target Audience Persona:**
Vietnamese professionals aged 24-35 in non-technical roles (marketing, admin, finance) who want to pivot into data analytics. They're motivated but overwhelmed by where to start. They respond to success stories and clear step-by-step paths.

**Best Content Formats:**
- YouTube: 8-12 min "day in the life" and career path breakdowns
- Facebook: 1-3 min student transformation stories, before/after career snapshots
- TikTok: 30-60 sec "I switched careers in X months" hooks, quick myth-busters

**Posting Frequency:**
- 2 pieces per week (1 YouTube or Facebook long-form, 1 TikTok short-form)

**5 Example Topic Ideas:**
1. "From marketing coordinator to data analyst in 6 months - a Datapot graduate's story" (links to DAF)
2. "What does a data analyst actually do all day? Realistic job breakdown" (links to CRDA)
3. "The 3 skills gap between you and a data analyst role" (links to DAFP)
4. "How much do data analysts earn in Vietnam in 2026?" (links to DAF)
5. "I had zero coding experience - here's how I learned SQL in 8 weeks" (links to CRDA)

What does this detail enable?

The persona description tells your content creator (human or AI) who they're writing for. The format recommendations prevent wasting time on formats that don't work for this audience. The topic ideas are ready-to-use starting points that can be plugged directly into Claude prompts in the next step.

  • Now add the same level of detail for Pillar 2 (Tool Mastery). Use this template:
### Pillar 2: Tool Mastery - Detail

**Target Audience Persona:**
Current learners and junior data analysts aged 22-30 who already work with data tools daily. They want practical shortcuts, advanced techniques, and solutions to specific problems they hit at work. They search YouTube for "how to" tutorials.

**Best Content Formats:**
- YouTube: 10-15 min step-by-step tutorials with screen recordings (Camtasia)
- Facebook: 1-2 min quick tips, single-formula breakdowns
- TikTok: 30-60 sec "one trick that saves 2 hours" format, before/after data transformations

**Posting Frequency:**
- 3 pieces per week (1 YouTube tutorial, 1 Facebook tip, 1 TikTok quick-hit)

**5 Example Topic Ideas:**
1. "5 DAX formulas every Power BI beginner needs" (links to PL-300)
2. "Clean messy Excel data in 3 clicks with Power Query" (links to EXDA)
3. "Python pandas trick: pivot tables faster than Excel" (links to PYDA)
4. "SQL JOIN explained with a real business example" (links to DP-080)
5. "Power BI dashboard from scratch in 10 minutes" (links to PL-300)
  • Add the detail for Pillar 3 (Industry Insights):
### Pillar 3: Industry Insights - Detail

**Target Audience Persona:**
Team leads, HR managers, and department heads aged 30-45 at Vietnamese enterprises (Banking, Fintech, Telco, Marketing). They need to justify upskilling budgets and want evidence that data training delivers ROI. They consume content during commutes or lunch breaks.

**Best Content Formats:**
- YouTube: 8-12 min trend analysis, expert interviews with Datapot instructors
- Facebook: 1-3 min data-backed industry insights, infographic summaries
- TikTok: 45-90 sec bold claims with proof ("Banks using Power BI reduced report time by X%")

**Posting Frequency:**
- 1-2 pieces per week (1 YouTube or Facebook, 1 TikTok optional)

**5 Example Topic Ideas:**
1. "Why Vietnam's top banks are training entire teams in Power BI" (links to corporate training)
2. "The hidden cost of manual reporting in Vietnamese enterprises" (links to BOPA)
3. "Interview: How our Fintech partner built a data culture in 6 months" (links to corporate training)
4. "3 data skills every marketing team needs in 2026" (links to corporate training)
5. "Microsoft Fabric: what it means for Vietnamese enterprise data teams" (links to DP-600)
  • Add the detail for Pillar 4 (AI & Future Skills):
### Pillar 4: AI & Future Skills - Detail

**Target Audience Persona:**
Forward-looking professionals aged 25-40 who already have technical foundations and want to stay relevant as AI reshapes analytics. They follow tech news, experiment with AI tools, and fear being left behind. They engage with "future of work" content.

**Best Content Formats:**
- YouTube: 10-15 min explainers ("What is Microsoft Fabric and why should you care?"), demos of AI tools
- Facebook: 1-3 min opinion pieces, AI news with Datapot's take
- TikTok: 30-60 sec "AI just changed this" hooks, tool demos in fast-forward

**Posting Frequency:**
- 2 pieces per week (1 YouTube or Facebook, 1 TikTok)

**5 Example Topic Ideas:**
1. "Azure AI Fundamentals: what you'll learn and why it matters for analysts" (links to AI-900)
2. "Microsoft Fabric will replace your current data pipeline - here's how" (links to DP-600)
3. "Can ChatGPT replace a data analyst? What we actually tested" (links to AI-900)
4. "3 AI tools every data analyst should learn before 2027" (links to upcoming AI courses)
5. "How Datapot is integrating AI into every analytics course" (links to AI-900, DP-600)

Customize the topic ideas

The 5 topic ideas per pillar are starting points. As you use the playbook, swap in topics based on what's trending in your analytics community, what courses are launching soon, or what questions students ask most in class.

  • Review your completed Content Pillars section. Each pillar should have: a target audience persona, best content formats (with platform-specific notes), a posting frequency, and 5 example topic ideas with course links.

Pillars feel too similar?

The acid test is the audience. If two pillars speak to the same person at the same career stage, merge them. Pillar 1 (Career Transformation) targets someone who doesn't yet have the skills. Pillar 2 (Tool Mastery) targets someone already using tools but wanting to level up. Those audiences feel adjacent but have different motivations and pain points.

Help me differentiate my content pillars more clearly

Your playbook now has a solid strategic foundation. The Brand Voice Guide keeps tone consistent, and the four pillars give every future content piece a clear purpose and audience. Next up, you'll build Claude prompt templates that turn these pillars into actual scripts, hooks, and captions on demand.

Build the Claude Prompt Library

Your brand voice and content pillars give Datapot a clear identity and direction. The challenge is translating those guidelines into consistent content when different team members produce videos on different days.

In this step, you'll build a library of Claude prompt templates that act as your content factory's engine. Each template takes structured inputs and produces on-brand outputs for YouTube, Facebook, and TikTok.

In this step, get ready to:
  • Build 3 core prompt templates for video scripts, hooks, and captions.
  • Test and iterate each template in Claude until outputs match Datapot's brand voice.
  • Build 3 utility prompts for repurposing, thumbnails, and CTAs.
Create 3 core prompt templates for video content

Prompt templates are different from one-off prompts. A template has clearly defined input slots and a consistent output structure, so anyone on the team can produce the same quality of content.

  • In your Datapot Content Factory Playbook, scroll down to the empty Prompt Library section.
  • Add a subheading called Core Prompt Templates.
  • Copy the following Video Script Generator template and paste it as the first entry under that subheading:
PROMPT TEMPLATE: Video Script Generator

--- INPUTS ---
Topic: [insert topic]
Target Pillar: [Career Transformation / Tool Mastery / Industry Insights / AI & Future Skills]
Course Link: [insert datapot.vn course URL]
Target Platform: [YouTube / Facebook / TikTok]

--- PROMPT ---
You are a content writer for Datapot Analytics (datapot.vn), Vietnam's leading
data analytics education provider. Datapot is a Microsoft Training Services
Partner with 8+ years of experience and 10,000+ alumni.

Brand voice rules:
- Tone: Professional but approachable, Vietnamese-first with English for
  technical terms and Microsoft course codes
- Key messages: Microsoft partnership, outcome-based education, practical/hands-on
- Banned: Overly salesy language, unsubstantiated claims, clickbait promises

Write a video script about: {Topic}
This falls under Content Pillar: {Target Pillar}
Target platform: {Target Platform}
Course to link: {Course Link}

Structure the script as:
1. HOOK (first 5 seconds): A question, bold stat, or relatable pain point that
   stops the scroll. Platform-specific length and format.
2. BODY: Main teaching content. Use concrete examples from real data analytics
   scenarios. Reference Datapot course material where relevant.
3. CTA: Natural transition to course recommendation. Frame as solving the
   viewer's problem, not a hard sell.

Adjust total length for platform:
- YouTube: 8-15 minutes of spoken content
- Facebook: 1-3 minutes
- TikTok: 30-90 seconds

Output the script with timing markers and speaker notes.

What does this template do?

The Video Script Generator is the workhorse of your prompt library. It takes four inputs and produces a complete, structured script tailored to a specific platform.

The brand voice rules section embeds your guidelines from Step 2 directly into the prompt. This means Claude always writes within Datapot's voice, even if a new team member uses the template.

  • Below the Video Script Generator, paste the following Hook Factory template:
PROMPT TEMPLATE: Hook Factory

--- INPUTS ---
Topic: [insert topic]
Target Audience: [insert persona from content pillar]

--- PROMPT ---
You are writing hooks for Datapot Analytics (datapot.vn), a Microsoft Training
Services Partner in Vietnam focused on practical, outcome-based data analytics
education.

Generate 5 scroll-stopping hooks for the topic: {Topic}
Target audience: {Target Audience}

For each hook, provide 3 platform-optimized versions:

1. YouTube version: A title + thumbnail text combo. The title uses curiosity or
   a specific number. The thumbnail text is 3-5 words maximum that create
   visual punch.

2. Facebook version: An opening line (first 2 lines before "See more") that
   triggers engagement. Use a question, bold claim, or relatable frustration.

3. TikTok version: A 3-second spoken opener + text overlay. The spoken words
   must grab attention immediately. The text overlay reinforces or adds context.

Rules:
- Vietnamese-first, English for technical terms only
- No clickbait. Every hook must be backed up by real content.
- Reference specific tools (Power BI, SQL, Python, Excel) when relevant
- At least 2 hooks should reference a pain point or aspiration

Why 5 hooks per topic?

Generating multiple hooks gives you options to A/B test. The best-performing hooks can inform future content, creating a feedback loop that improves your factory over time.

  • Below the Hook Factory, paste the following Caption & Hashtag Generator template:
PROMPT TEMPLATE: Caption & Hashtag Generator

--- INPUTS ---
Video Topic: [insert topic]
Target Platform: [YouTube / Facebook / TikTok]
Course Link: [insert datapot.vn course URL, if applicable]
Key Takeaway: [one sentence summary of what the viewer learns]

--- PROMPT ---
You are a social media writer for Datapot Analytics (datapot.vn), Vietnam's
leading data analytics training provider and Microsoft Training Services Partner.

Write a platform-native caption for: {Video Topic}
Platform: {Target Platform}
Key takeaway: {Key Takeaway}

Platform-specific format:
- YouTube: SEO-optimized description (2-3 paragraphs). Include timestamps
  placeholder, course link, and Datapot contact info. Focus on searchability.
- Facebook: Engaging post text (3-5 lines). Start strong. Include CTA in first
  comment suggestion. Encourage comments/shares.
- TikTok: Short punchy caption (1-2 lines max). Let the video do the talking.
  Focus on relatability and shareability.

Hashtags:
- Include 5-8 hashtags mixing Vietnamese and English
- Required Vietnamese hashtags: #datapot #phantichdulieu #hocdata
- Add topic-specific hashtags in both languages
- For TikTok: prioritize trending format hashtags

Also suggest: best posting time for Vietnamese audience on this platform.

Why bilingual hashtags?

Datapot's audience searches in both Vietnamese and English. Vietnamese hashtags reach the local community, while English hashtags like #PowerBI or #DataAnalytics connect to the global data community and improve discoverability.

Test and iterate each template in Claude

A prompt template is only valuable if it consistently produces outputs that match Datapot's brand voice. Testing with a real topic reveals where the template needs tightening.

  • Switch to your Claude tab.
  • Copy your Video Script Generator template and paste it into Claude. Replace the input placeholders with this test topic:
  • Topic: 5 DAX formulas every Power BI beginner needs
  • Target Pillar: Tool Mastery
  • Course Link: https://datapot.vn/shop/ (linking to PL-300)
  • Target Platform: YouTube
  • Review Claude's output against your Brand Voice Guide from Step 2.
  • Check that the tone is professional but approachable, technical terms use English, and there is no overly salesy language.

What should I look for when iterating?

  • Does the hook feel natural in Vietnamese, or does it sound like translated English?
  • Does the CTA frame the course as a solution to the viewer's problem, not a hard sell?
  • Are the timing markers realistic for the platform length?
  • Does it reference Datapot's Microsoft partnership or outcome-based methodology naturally?
  • If the output misses any of these marks, adjust your prompt template. Add more specific constraints or rephrase the brand voice rules section.
  • Re-run the updated template in Claude until the output passes your brand voice check.
  • Repeat this test-and-iterate process for the Hook Factory and Caption & Hashtag Generator using the same test topic.

Keep iteration notes

When you find a phrasing tweak that fixes an output problem, note it below the template in your playbook as a usage tip. Future users of the template will benefit from your iteration.

  • Once each template passes your brand voice check, paste the final tested versions back into your Google Docs playbook. Replace the original drafts with the iterated versions.
  • Under each template, add a Usage Instructions note that includes: the test topic you used, what you iterated on, and any tips for getting the best results.
Build 3 utility prompts for repurposing and distribution

The core templates produce your primary content. Utility prompts handle the downstream work of adapting that content for different platforms and contexts.

  • In your playbook, add a subheading called Utility Prompt Templates below your core templates.
  • Paste the following Content Repurposer template:
PROMPT TEMPLATE: Content Repurposer

--- INPUTS ---
Original YouTube Script: [paste full YouTube script]
Target Formats: Facebook post + TikTok script

--- PROMPT ---
You are adapting content for Datapot Analytics (datapot.vn) across platforms.

Take this YouTube script and create two reformatted versions:

1. FACEBOOK POST (1-3 minutes of spoken content):
   - Extract the single most impactful insight or tip
   - Rewrite as a standalone piece (don't reference the YouTube video)
   - Open with a strong hook line that works in a Facebook feed
   - End with a discussion question to drive comments
   - Include a CTA in a suggested "first comment" section

2. TIKTOK SCRIPT (30-90 seconds):
   - Pick ONE specific tip or transformation moment
   - Write a 3-second hook that creates curiosity
   - Script must work without context from the full video
   - Include text overlay suggestions for key moments
   - End with a cliffhanger or "follow for part 2" hook if appropriate

Rules:
- Each piece must stand alone. Viewers may never see the YouTube original.
- Keep Datapot's brand voice: professional but approachable, Vietnamese-first
- No filler content. Every second must earn attention on that platform.
- Include timing markers for both versions.

Original script:
{Original YouTube Script}

Why standalone pieces, not previews?

Each platform has its own audience behavior. A Facebook viewer may never visit YouTube, and a TikTok viewer expects complete value in under 90 seconds. Repurposed content must deliver full value on its native platform.

  • Below the Content Repurposer, paste the Thumbnail/Cover Text Generator template:
PROMPT TEMPLATE: Thumbnail/Cover Text Generator

--- INPUTS ---
Video Topic: [insert topic]
Target Platform: [YouTube thumbnail / Facebook cover / TikTok cover]
Emotion to Convey: [curiosity / urgency / excitement / authority]

--- PROMPT ---
You are designing text overlays for Datapot Analytics video thumbnails and
cover images.

Generate 3 text overlay options for: {Video Topic}
Platform: {Target Platform}
Desired emotion: {Emotion to Convey}

For each option provide:
- Primary text: 3-5 words maximum, bold and scannable
- Supporting text (optional): 2-4 words that add context
- Color/contrast note: suggest whether light-on-dark or dark-on-light works
  better for readability

Rules:
- Vietnamese-first, English only for tool names (Power BI, SQL, Python, etc.)
- Text must be readable at mobile thumbnail size
- Avoid generic phrases like "Must watch" or "Don't miss"
- At least one option should include a specific number or result
- Consider Datapot's brand colors (reference their website styling)
  • Finally, paste the CTA Variations template:
PROMPT TEMPLATE: CTA Variations

--- INPUTS ---
Course Name: [insert course name, e.g. PL-300 Microsoft Power BI Data Analyst]
Course URL: [insert datapot.vn course page URL]
Video Context: [one sentence about what the video taught]

--- PROMPT ---
You are writing calls-to-action for Datapot Analytics (datapot.vn) video content.
Datapot is a Microsoft Training Services Partner offering outcome-based education.

Generate 5 CTA variations for: {Course Name}
Course page: {Course URL}
Video context: {Video Context}

Each CTA should:
- Feel like a natural next step, not a sales pitch
- Connect the video's value to the course's deeper value
- Be 1-3 sentences maximum
- Include the course URL naturally

Variation styles:
1. Problem-solution: "Still struggling with X? The {Course Name} course at
   Datapot walks you through..."
2. Aspiration: "Ready to level up? Join 10,000+ alumni who..."
3. Social proof: Reference Datapot's Microsoft partnership or alumni count
4. Scarcity/timing: Reference upcoming cohort or limited seats (if applicable)
5. Low-commitment: "Start with the free resources at..." or "See the full
   curriculum at..."

Rules:
- Vietnamese-first, English for course codes and technical terms
- No pressure tactics or fake urgency
- Each variation must work as a standalone spoken CTA in a video
- Include a written version (for captions/descriptions) and a spoken version
  (natural phrasing for video)

What makes these CTAs different from generic sales lines?

Each variation style serves a different viewer mindset. A viewer who just learned something new responds to the aspiration CTA. A frustrated viewer responds to problem-solution. Having 5 variations means you can match the CTA to the video's emotional arc.

  • Test each utility template in Claude using the same DAX formulas topic you used earlier.
  • For the Content Repurposer, paste the YouTube script Claude generated during your core template testing as the input.
  • Iterate any templates that produce outputs misaligned with Datapot's brand voice.
  • Paste the final tested versions into your playbook with usage instructions, just as you did for the core templates.

Claude's outputs feel too generic?

If Claude produces content that could belong to any education brand, add more Datapot-specific context to the prompt. Reference specific course names, pricing, instructor credentials (like MCT certification), or the Microsoft partnership.

Help me make my prompt templates produce more brand-specific content for Datapot.

Your Prompt Library section should now contain 6 tested templates organized under Core Prompt Templates and Utility Prompt Templates, each with usage instructions documenting your iteration process.

✔️ Awesome, I've got all 6 templates documented!

Great. Double check that each template has its tested output sample and usage instructions pasted below it.

ⓧ I'd like to double check what my Prompt Library should look like

Your Prompt Library section should contain these 6 entries, in order:

  • Video Script Generator with inputs: topic, target pillar, course link, target platform. Output: hook + body + CTA with timing markers.
  • Hook Factory with inputs: topic, target audience. Output: 5 hooks, each with YouTube/Facebook/TikTok versions.
  • Caption & Hashtag Generator with inputs: video topic, platform, course link, key takeaway. Output: platform-native caption + bilingual hashtags.
  • Content Repurposer with input: YouTube script. Output: standalone Facebook post + standalone TikTok script.
  • Thumbnail/Cover Text Generator with inputs: video topic, platform, emotion. Output: 3 text overlay options with color notes.
  • CTA Variations with inputs: course name, course URL, video context. Output: 5 CTA variations in both written and spoken form.

Each template should also have a tested output sample and a short usage instructions note documenting your iteration findings.

Your content factory now has a working engine. Next up, you'll design the production pipeline that turns these scripts into polished, published videos using Camtasia.

Design the Video Production and Distribution Pipeline

Your prompt library is ready to generate content on demand. But raw scripts alone don't become polished videos on three different platforms.

A production pipeline turns creative output into a repeatable manufacturing process. In this step, you'll document the exact recording setup, video structure, export settings, and quality checks that every piece of Datapot content must pass through before it reaches an audience.

In this step, get ready to:
  • Document a Camtasia production workflow with recording checklist, video structure template, and platform export presets.
  • Build a Distribution Matrix mapping content specifications for YouTube, Facebook, and TikTok.
  • Define quality gates with a pre-publish checklist and reviewer sign-off step.
Document your Camtasia production workflow

Every video Datapot produces should look and sound consistent, regardless of who records it. A documented production workflow removes guesswork by standardizing the recording environment, video structure, and export settings.

  • Switch back to your Datapot Content Factory Playbook Google Doc.
  • Scroll down to the Production Pipeline section header.
  • Add a subheading titled Recording Setup Checklist.

Under this subheading, document the following checklist items that every recording session must complete before hitting record:

  • Screen resolution: set display to 1920x1080 for consistent capture quality across all platform exports.
  • Microphone test: record a 10-second audio sample in Camtasia and play it back to verify clarity, volume levels, and no background noise.
  • Datapot branding overlay: confirm the Datapot logo and brand color bar are loaded as a reusable asset in your Camtasia library for consistent lower-third placement.
  • Clean desktop: close unnecessary windows, hide desktop icons, and disable notifications to prevent interruptions during recording.

Why a recording checklist?

Professional content teams use pre-flight checklists because re-recording is expensive. A 15-minute tutorial with poor audio or a notification popup mid-screen means starting from scratch.

When any team member at Datapot can follow this checklist and produce a recording that meets standards, you eliminate the bottleneck of relying on one person who "knows the setup."

  • Add a second subheading titled Standard Video Structure Template.

Document the following segment breakdown that every Datapot video must follow:

  • Hook segment (0-5 seconds): the scroll-stopping opening that states the value proposition or poses a compelling question.
  • Intro segment (5-15 seconds): brief context setting with Datapot branding and instructor introduction.
  • Main content: the tutorial, demonstration, or educational body. Length varies by platform (specified in the Distribution Matrix).
  • CTA with course link: a clear call-to-action directing viewers to the relevant Datapot course page on datapot.vn.

Adapt the hook by platform

On TikTok, the hook must land in the first 1-2 seconds or viewers scroll away. On YouTube, you have slightly more breathing room (3-5 seconds) because viewers clicked intentionally. Note these differences alongside each segment so the team knows how to adjust.

  • Add a third subheading titled Export Presets.

Document the export settings for each target platform:

  • YouTube: 1080p landscape (1920x1080, 16:9 aspect ratio).
  • Facebook: 1080p square (1080x1080) for feed posts, or 1080p landscape (1920x1080) for longer videos.
  • TikTok: 1080p vertical (1080x1920, 9:16 aspect ratio).
  • Switch to Camtasia and verify you can access the export settings by clicking Export (or Share depending on your version) in the top menu.
  • Note in your playbook whether your Camtasia version supports saving custom production presets. If so, document the steps to create a preset for each platform so future exports are one-click.

Why three different export formats?

Each platform's algorithm favors native aspect ratios. A landscape YouTube video posted to TikTok without reformatting appears as a tiny strip with black bars. Platform-native formatting signals professionalism and gets better algorithmic reach.

Create the Distribution Matrix

The Distribution Matrix is a quick-reference table that tells your team exactly what each platform expects. Instead of looking up specs every time, anyone producing content can check the matrix and know the format, length, and required elements at a glance.

  • Return to your Google Doc and scroll to the Distribution Matrix section.
  • Insert a table with 4 columns: Specification, YouTube, Facebook, TikTok. You can insert a table by clicking Insert in the menu bar, then Table.

Fill in the table rows with the following specifications for each platform:

YouTube column:

  • Content type: 8-15 minute tutorials and course previews.
  • Format: landscape (16:9).
  • Required elements: SEO-optimized title and description, end screen with course link, consistent publish schedule.

Facebook column:

  • Content type: 1-3 minute highlight clips or standalone tips.
  • Format: square (1:1) or landscape (16:9).
  • Required elements: native captions (burned in), CTA placed in the first comment, engaging opening line in post text.

TikTok column:

  • Content type: 30-90 second hooks, quick tips, or transformation stories.
  • Format: vertical (9:16).
  • Required elements: trending sounds, text overlay hooks in the first 2 seconds, link in bio directing to course page.

Why Facebook gets the CTA in the first comment?

Facebook's algorithm deprioritizes posts with external links in the main caption. Placing the course link in the first comment keeps your reach high while still giving interested viewers a clear path to enroll.

  • Review your completed table to make sure every cell has a concrete, actionable specification rather than vague guidance.
Define your quality gates

Quality gates are the final checkpoint between a finished draft and a published piece. Without them, small errors slip through. A wrong course price or broken link in a video damages Datapot's credibility with potential students.

  • Scroll to the Quality Gates section in your playbook.
  • Add a subheading titled Pre-Publish Checklist.

Document the following checklist items. Every piece of content must pass all five gates before publishing:

  • Brand voice alignment: does the content match Datapot's tone (professional but approachable, Vietnamese-first)? Cross-reference the Brand Voice Guide from your Brand Foundation section.
  • Factual accuracy: are all data points, tool demonstrations, and technical claims correct? Any Power BI formula, SQL query, or Python code shown must be tested and working.
  • Correct course links and pricing: verify every course URL points to the correct page on datapot.vn and any pricing mentioned matches the current listed price.
  • Platform-specific format compliance: confirm the video meets the aspect ratio, length, and required elements specified in your Distribution Matrix.
  • Designated reviewer sign-off: a second team member must review and approve before publishing. Document who has sign-off authority (e.g., content lead or course instructor for that topic).

Why a reviewer sign-off?

The creator of a piece is the worst person to catch its errors. A fresh pair of eyes catches brand drift, unclear explanations, and broken links that the original creator has become blind to. This single gate prevents the most common content quality failures.

  • Below the checklist, add a note specifying the sign-off process: who reviews (role, not just a name), how they communicate approval (comment in the doc, Slack message, etc.), and what happens if a gate fails (content returns to the creator with specific revision notes).

Keep pricing verification simple

Datapot's course prices change periodically. Rather than memorizing prices, make the checklist action "open the course page and compare." This way the checklist stays accurate even when pricing updates happen.

Your production pipeline is locked in. You now have a complete system covering how to record, what structure to follow, where to publish, and what checks must pass before anything goes live. Next up, you'll put the entire playbook to the test by producing a real content piece from start to finish.

Produce a Sample Content Piece

Your playbook has the framework, the prompts, the production pipeline, and the quality gates. Everything is in place. Now it's time to stress-test the system by producing a real piece of content from start to finish.

A playbook that hasn't been used is just theory. By running one topic through the entire factory pipeline, you'll discover where the system flows smoothly and where it needs refinement. The worked example also becomes a reference for anyone on the team using the playbook later.

In this step, get ready to:
  • Generate a full content suite using your Claude prompt templates.
  • Record a tutorial segment in Camtasia following your production workflow.
  • Run quality gates and document the worked example in your playbook.
Generate content with your Claude prompt templates

You built six prompt templates in Step 3. Now you'll feed a real topic through four of them to produce a complete multi-platform content suite.

  • Choose a topic from your Pillar 2 (Tool Mastery) content ideas. The recommended topic is "3 Power BI tricks that save 2 hours per week" because it ties directly to the PL-300 course and has strong hook potential.
  • Switch to your Claude tab.
  • Paste your Video Script Generator template into Claude. Fill in the inputs: topic is "3 Power BI tricks that save 2 hours per week", target pillar is Tool Mastery, course link is the PL-300 page on datapot.vn, and target platform is YouTube.
  • Review the generated script. Check that the hook (0-5s), body, and CTA match Datapot's brand voice from your Brand Foundation section.
  • If the tone feels too salesy or doesn't match your voice exemplars, iterate by asking Claude to adjust. Refine until the script reads naturally in Vietnamese with professional-but-approachable tone.

Iterate in the same conversation

Keep your refinement requests in the same Claude conversation thread. This way Claude retains context about Datapot's brand voice and produces more consistent outputs with each iteration.

  • Once you have a final YouTube script, paste your Hook Factory template into Claude. Set the topic to the same Power BI tricks topic and request hooks optimized for TikTok (first 3 seconds of vertical video).
  • Select the strongest hook and ask Claude to expand it into a full 30-90 second TikTok script following vertical 9:16 format conventions.
  • Paste your Caption & Hashtag Generator template. Set the platform to Facebook and generate a caption with relevant Vietnamese and English hashtags.
  • Paste your Thumbnail/Cover Text Generator template and generate 3 text overlay options for the YouTube thumbnail.

You should now have four outputs: a full YouTube script, a TikTok hook script, a Facebook caption with hashtags, and 3 thumbnail text options.

Why test all four templates together?

Running multiple templates on the same topic reveals whether your prompts produce consistent messaging across platforms. If the YouTube script emphasizes one benefit but the TikTok hook highlights a different angle, your templates need tighter alignment.

  • Copy all four final outputs from Claude into your playbook's new "Worked Example" section under a heading like "Sample: 3 Power BI Tricks That Save 2 Hours Per Week".
  • Label each output clearly: YouTube Script, TikTok Hook Script, Facebook Caption, and Thumbnail Text Options.
Record and edit your tutorial in Camtasia

With a polished YouTube script in hand, you'll now record a 2-3 minute segment using your production pipeline. This proves the workflow works end-to-end from script to finished video.

  • Switch to Camtasia.
  • Run through your recording setup checklist from the Production Pipeline section: verify screen resolution is set correctly, test your microphone levels, and confirm your Datapot branding overlay is loaded.
  • Open the YouTube script you generated in the previous substep. Keep it visible on a second monitor or printed beside you for reference while recording.

Record in segments

You don't need to record the full video in one take. Record the hook (0-5s), intro (5-15s), and main content as separate clips. Camtasia makes it easy to stitch them together on the timeline.

  • Click Record in Camtasia and deliver your hook segment (the first 5 seconds designed to grab attention).
  • Record the intro segment (5-15 seconds) where you introduce yourself and preview the three tricks.
  • Record the main content section. Demonstrate at least one Power BI trick on screen so the tutorial has real substance.
  • Record the CTA segment. Reference the Datapot PL-300 course by name and mention the course link.
  • Stop the recording and switch to Camtasia's editing timeline.
  • Arrange your clips following the video structure template: hook, intro, main content, CTA.
  • Add your Datapot branding overlay to the timeline.
  • Export the video using your YouTube 1080p landscape preset from the Production Pipeline section.

Your exported video should be a 2-3 minute tutorial that follows the exact structure defined in your playbook.

What if I don't have Power BI open?

The goal here is to validate your production pipeline, not produce a publishable tutorial. If you don't have Power BI available, record a screen walkthrough of any data tool you have access to. The structure and workflow matter more than the specific content shown.

  • Take a screenshot of your Camtasia timeline showing the arranged clips with branding overlay.
Run quality gates and finalize the playbook

The final step in any content factory pipeline is the quality check. You'll run your pre-publish checklist against everything you produced, then document the entire worked example as a reference for future use.

  • Return to your playbook in Google Docs and open the Quality Gates section.
  • Run each item on your pre-publish checklist against your YouTube script, TikTok hook script, Facebook caption, and thumbnail text:

Why run quality gates on a sample piece?

Quality gates catch issues before publishing. Running them now also tests whether your checklist is practical. If a gate is too vague to apply ("brand voice alignment" without clear criteria), you'll know to tighten the checklist wording in your playbook.

  • Note any issues the checklist caught. For each issue, document what went wrong and what prompt or workflow adjustment would fix it.
  • If your Claude prompts produced outputs that needed heavy editing, update the relevant template in your Prompt Library section. Add more specific brand voice instructions or adjust the output format.
  • If your Camtasia workflow had friction (missing preset, unclear branding placement), update the Production Pipeline section with the fix.
  • Scroll to your Worked Example section in the playbook. Confirm it contains: the full YouTube script, TikTok hook script, Facebook caption, thumbnail text options, and your Camtasia timeline screenshot.
  • Add a "Quality Gates Results" subsection below your worked example. Document which gates passed, which flagged issues, and what refinements you applied.
  • Add a "Refinements Applied" subsection listing any changes you made to your prompt templates or production workflow based on this test run.

Your playbook is now battle-tested. It contains not just the system, but proof that the system works.

What makes a good worked example?

A worked example shows a new team member exactly what "done" looks like. Include the raw Claude outputs, any edits you made, and why you made them. This transparency helps others learn the judgment calls involved in producing on-brand content.

Your Content Factory Playbook is complete and proven. Next up, you'll take this system further with a multi-piece content sequence designed to launch Datapot's AI courses.

Secret mission

Design a 5-Piece AI Course Launch Content Sequence

You've built a content factory that produces individual pieces. But launching a new course requires something more sophisticated: a connected narrative arc that builds awareness, creates urgency, and drives enrollments across platforms over time. Can you design a strategic 5-piece content sequence for Datapot's AI course expansion?

Clean Up Your Resources

Clean Up Your Resources

This project runs entirely locally and on free services, so there are no ongoing costs. Decide whether to keep your resources as-is, pause your work to come back later, or delete them entirely.

Resources you used:

  • Datapot Content Factory Playbook (Google Doc in Google Drive).
  • Camtasia project files and exported video (local files on your computer).
  • Claude conversation history (in your Claude account).

Keep everything running

No action needed. Choose this if you plan to start using the playbook for Datapot's content production right away.

  • Your Google Doc playbook is ready to share with team members or use immediately for content production.
  • Your Camtasia project files remain on your computer for future reference or re-editing.
  • Your Claude conversation history stays available if you want to revisit or refine your prompt templates.

Pause - I'll come back to this later

Free up local disk space while keeping your playbook accessible in the cloud.

  • Your Google Doc stays safely in Google Drive at no cost. No action needed there.
  • Close your Camtasia project to free up memory. Your files remain on disk for when you return.
  • Close the Claude browser tab. Your conversation history is saved automatically and will be there when you come back.

Delete - I don't want to use this again

Remove all project resources from your Google Drive and local machine.

  • Delete the Google Doc: open Google Drive, right-click the "Datapot Content Factory Playbook" document, and select Move to trash.
  • Delete local Camtasia project files: navigate to the folder where you saved your Camtasia project and exported video files, then delete the folder.
  • Delete the Claude conversation: in the Claude sidebar, hover over the conversation you used for this project, click the three-dot menu, and select Delete.

That's a Wrap!

That's a Wrap!

Nice work! You've just built a professional Content Factory Playbook that transforms Datapot's course expertise into a repeatable, scalable content production system.

Your playbook is ready to hand to any team member for immediate use across YouTube, Facebook, and TikTok.

You've learned how to:

  • Build a complete Content Factory Playbook with brand voice guide, content pillars, and quality gates tailored to Datapot's courses and audience segments.
  • Create a 6+ template Claude prompt library that produces on-brand video scripts, hooks, captions, and repurposed content for YouTube, Facebook, and TikTok.
  • Produce a working sample content piece end-to-end using a Camtasia production pipeline with recording standards, video structure templates, and multi-platform export presets.
  • Secret Mission: Designed a strategic 5-piece AI Course Launch content sequence with cross-platform coordination, a 2-week posting calendar, and a reusable launch template.

Ready to quiz yourself?