
In this lecture you take one piece of content apart into its five blocks, see how each block quietly breaks, and find the block that breaks first in your own publishing.
This course is built from seven disciplines: brand management, audience research, knowledge management, content production, gamification, marketing distribution and communications.
The map of the course
A dictionary for reading lectures from other fields as content work
Three questions to ask after every lecture
A short self-diagnostic that shows which sections to watch first
Download the Content Piece Breakdown and fill it in for one piece you plan to publish.
Tools in this lecture
Files to download (1)
Where content ownership sits between brand, marketing and communications
The six layers of a brand, and which layer each asset belongs to
A map of thirty-plus AI tools arranged by task
Brand equity, and why a strong brand multiplies what content earns
Tools in this lecture
Ready to use on the slides (7)
Models and methods explained (4)
Internal and external audit in five blocks, run in a day rather than months
Competitive analysis of what rivals actually publish
How ChatGPT, Perplexity and Gemini currently describe your company
Awareness, consideration, share of search and net promoter score
Tools in this lecture
Ready to use on the slides (6)
Services and apps shown in this lecture (1)
Models and methods explained (1)
Mission, vision and values written so a copywriter can use them
Branded house against house of brands
One positioning statement turned into six repeatable messages
Naming, and checking availability before you commit
Tools in this lecture
Ready to use on the slides (15)
Services and apps shown in this lecture (3)
Models and methods explained (3)
Logo, colour, typography and image style treated as content constraints
Moodboards and illustration produced with generative models
Teaching an AI model to write in your tone of voice
The brand book, and copyright questions around generated assets
Tools in this lecture
Ready to use on the slides (12)
Services and apps shown in this lecture (3)
Models and methods explained (3)
Big idea, creative, channels and activation
Thirty campaign concepts in an hour, then killing twenty-nine of them
Headlines, body copy and calls to action written with AI as a co-author
Organic, paid, press, influencers and partnerships in a single mix
Tools in this lecture
Ready to use on the slides (7)
Services and apps shown in this lecture (1)
Models and methods explained (4)
Awareness, consideration, preference and loyalty as four separate numbers
Social listening that runs without you
Monitoring how AI assistants mention your brand
A ninety-day implementation plan
Tools in this lecture
Ready to use on the slides (14)
Services and apps shown in this lecture (5)
Models and methods explained (4)
What a survey can tell you, and what it cannot
The most common study types, and what each is good for
Automation tools
Market benchmarks worth comparing against
Tools in this lecture
Ready to use on the slides (2)
Services and apps shown in this lecture (4)
Satisfaction, loyalty and engagement studies
Experience studies and value proposition studies
Pulse studies, and when short beats thorough
Exit conversations, and the rest of the catalogue
Tools in this lecture
Ready to use on the slides (6)
Models and methods explained (1)
Question types, and how the type changes the answer
Scales, response options and questionnaire length
Open questions: worth the cost of analysing them or not
Platforms, and building a questionnaire from scratch
Tools in this lecture
Ready to use on the slides (3)
Services and apps shown in this lecture (3)
Models and methods explained (1)
Setting the task before writing a single question
Design that does not exhaust the respondent
Promoting the questionnaire like a small campaign
Reminders that work without irritating anybody
Tools in this lecture
Ready to use on the slides (6)
Models and methods explained (3)
Report formats, and which chart types earn their space
Which sections a decision-maker actually reads
Analysing open answers and free text
Writing recommendations rather than observations
Tools in this lecture
Files to download (4)
Ready to use on the slides (4)
What conclusions the data supports, and what it does not
Planning actions against the findings
Interim studies to check whether anything moved
Tools in this lecture
Ready to use on the slides (3)
Models and methods explained (2)
What knowledge management is, and why content teams need it
Explicit against tacit knowledge, and why the second never writes itself down
The problems every company runs into
Cases from global companies
Tools in this lecture
Ready to use on the slides (4)
Models and methods explained (6)
Extraction through interviews, surveys and working groups
Structuring into a base, a wiki or an ontology
Storage tools: Notion, Confluence, Loop, corporate portals
Protecting intellectual property and confidential material
Tools in this lecture
Ready to use on the slides (18)
Services and apps shown in this lecture (6)
Models and methods explained (4)
Ways of sharing, and the barriers that stop it
Building a culture where people hand over what they know
Communities of practice and the role of knowledge leaders
Platforms: Slack, Teams, knowledge bases
Tools in this lecture
Models and methods explained (5)
Principles of applying knowledge where the work actually happens
Integration with the rest of the process stack
Case analysis and best-practice extraction
Recording mistakes and running retrospectives
Tools in this lecture
Ready to use on the slides (10)
Models and methods explained (4)
Effectiveness measures for a knowledge system
Surveys, engagement indices and knowledge indices
Feedback loops and improvement
Monitoring
Tools in this lecture
Ready to use on the slides (4)
Services and apps shown in this lecture (2)
Models and methods explained (1)
Developing and implementing the strategy
The role of knowledge leaders, and how to involve people
Building a culture of continuous learning
Strategic decisions made on data rather than instinct
Tools in this lecture
Ready to use on the slides (6)
Models and methods explained (1)
What separates online formats from traditional ones
Learning theory, and how adults take in information
The principles that make material stick
How a full programme gets built
Tools in this lecture
Ready to use on the slides (2)
Models and methods explained (11)
Working principles for the technology
The toolkit you actually need
Choosing technology you will not regret
What makes production move faster
Tools in this lecture
Ready to use on the slides (1)
Services and apps shown in this lecture (8)
Choosing a topic and shaping a programme
Where the material comes from when you are not the only expert
Questions, assignments and intensive design
Practices that raise usefulness, and developing your own expertise
Tools in this lecture
Ready to use on the slides (9)
Services and apps shown in this lecture (2)
Models and methods explained (2)
How to behave on camera, and how to work an audience
Stages of the participant life cycle, and how you behave in each
Preparation, launch and the opening session
Starting the discussion around the material
Tools in this lecture
Ready to use on the slides (9)
Models and methods explained (2)
Tracking what landed
Teaching application rather than recall
Feedback, cases and reflection
Closing and debriefing
Tools in this lecture
Ready to use on the slides (10)
Models and methods explained (1)
Managing the programme once it is live
Progress monitoring, and challenging the audience
Checking the work that comes back
What makes material genuinely useful rather than merely finished
Tools in this lecture
Ready to use on the slides (6)
Models and methods explained (11)
What gamification is, and what it is not
Goals and objectives
Successful cases, and the popular platforms
How Google does it
Tools in this lecture
Services and apps shown in this lecture (3)
Models and methods explained (2)
The popular solutions
Low-budget options that need no platform at all
The link with how the brand is perceived
Tools in this lecture
Ready to use on the slides (2)
Models and methods explained (4)
Options that need no special platform
An overview of the platforms
Developing your own programme
Tools in this lecture
Ready to use on the slides (3)
Services and apps shown in this lecture (1)
This course contains the use of artificial intelligence.
Writing is the easy part of content marketing. It is also the only part you can hand to somebody else. The hard part is upstream and downstream of it: strategy, research and distribution. Here are 391 tools for those parts: 221 ready-to-use procedures, templates, checklists and question lists, 108 models and methods, 57 services shown on screen and 5 working files.
Open a lecture, take the template, and plan your next campaign around it.
Why content does not work
Teams produce posts on a calendar without a position, a voice or research behind them. Expert knowledge stays in people's heads, content is published once and forgotten, distribution is an afterthought, and metrics count likes instead of results.
What changes after this course
Your content starts from a brand position and real audience research. Experts' knowledge becomes material, every piece is repurposed and measured, and owned, paid and earned media work together to build thought leadership.
What is inside: 391 tools, counted lecture by lecture
You do not have to take this number on trust. Open any lecture and read its description: every tool inside is listed there by name.
Where the tools are
Strategy and brand voice (2 sections, 89 tools). Brand positioning, voice, campaign planning and content plans.
Audience and research (2 sections, 42 tools). Audience research, fieldwork and research operations.
Expert content and operations (2 sections, 71 tools). Capturing expertise, repurposing and metrics.
Long-form, video and live (2 sections, 73 tools). Production, facilitation and engagement.
Gamification and behaviour change (2 sections, 23 tools). Platforms, campaigns, recognition and motivation.
Distribution and thought leadership (4 sections, 121 tools). Owned, paid and earned media, and executive brand content.
Who is teaching
I am Mike, the #1 HR instructor on Udemy, with 1,800,000+ course enrollments from 170,000 students, and the author of about 200 books on Amazon. I built the people system at Preply as it became a unicorn and worked at Wargaming, iDeals and Alfa-Bank across 20 years in HR. I hold PHRi, SHRM-CP and HCI sHRBP certifications and represent HRCI in Eastern Europe.
At the STB TV channel I started a corporate blog for employees and candidates, which I wrote myself. It became a channel the company owned, where we told our own stories instead of waiting for media or job sites to tell them for us.
How to use the course
Start with strategy and research, then plan your content operations and distribution. Section and lecture titles show how many tools are inside, and each lecture description lists them by name.
What is included
Where to start
Write down who your content is for and what they should do after reading it, then open the first section. Enrol now and start your first lesson today.