The Complete 12-Week Curriculum
Transform into an innovation practitioner equipped to lead collaborative innovation in the AI era. Build a complete, ready-to-deploy operating system through alternating self-paced learning and live cohort sessions, all within Miro.
Miro-Powered Learning Environment
All weekly materials, boards, templates, canvases, and deliverables are housed directly in Miro. All live synchronous sessions are conducted via Miro VC; no external video tool required. Everything happens in one collaborative workspace.
Weeks 1–2
Why Innovation Fails and Designing for Augmented Collaboration
Build the foundation first: why innovation fails, the Innovation Loop, and the four design principles that underpin Augmented Collaboration. Flow, Learning, Collaboration and Agency become the design lens for the rest of the programme.
Week 1
Why Innovation Fails, the Innovation Loop and Miro Basics
Key Learnings
- Root causes of traditional innovation failure
- The Innovation Loop: Discover, Define, Deliver
- AI-supported evidence gathering for discovery
- Introduction to collaborative operating systems
- Navigating the Miro workspace: boards, frames and templates
- Core functionality: sticky notes, voting, timers, comments and reactions
- Working with this programme's canvas templates (Customer Problem, Persona, Value Proposition, Business Model Canvas)
- Setting up and participating in a Miro Visual Collaboration (VC) session
- Board etiquette and asynchronous collaboration in a shared workspace
Deliverables
Innovation audit of your organization · Top 3 innovation challenges documented (Miro board) · Personal Miro workspace set up and linked to the shared cohort boards · Completed Miro basics exercise (placing sticky notes, voting, duplicating a template) · Participation in a live Miro VC onboarding session
Week 2
Designing for Augmented Collaboration
Key Learnings
- Augmented Collaboration is not primarily about using AI, it is about designing a better system of work
- Design for FLOW: reduce handovers and waiting, make the next step visible, bring context to where the work happens
- Design for LEARNING: turn assumptions into hypotheses, capture evidence as you work, build feedback loops into the workflow
- Design for COLLABORATION: make shared context visible, give AI a role in the team rather than treating it as a separate tool
- Design for AGENCY: keep human judgement where it matters, make decision rights explicit, prevent automation becoming abdication
- Diagnose an existing workflow through the four lenses
- Distinguish between a technology problem and a system-design problem
- Decide where humans, AI and teams should interact
- Use the four principles to redesign a workflow
- Establish the principles as a shared language for the cohort
Deliverables
Augmented Collaboration Design Principles Canvas · The Augmented Collaboration Audit: one real workflow mapped against Flow, Learning, Collaboration and Agency · Flow friction points, learning loops, collaboration gaps and agency gaps documented · Human + AI opportunities identified · One critical moment of the workflow redesigned · Three design principles to carry forward through the programme
Weeks 3–4
Customer Value Workflow
The full arc of customer value: from spotting a validated problem to a clear picture of who you are solving it for.
Week 3
Customer Problems, Opportunities and Discovery
Key Learnings
- Customer Problem canvas methodology
- Problem validation techniques
- Opportunity selection criteria
- Peer learning on organizational challenges (Miro VC)
- Discovery research techniques
- AI-assisted interview preparation & synthesis
- Data synthesis approaches
- Insight extraction from customer conversations
Deliverables
Present innovation audit findings · Select primary opportunity · Draft Customer Problem Statement · 5–10 customer interview plans · Research protocol document (Miro template)
Week 4
Validating Problems, Segmentation and Personas
Key Learnings
- Customer Problem canvas completion
- Problem validation frameworks
- Evidence-based decision making
- Group critique and refinement (Miro VC)
- Customer segmentation strategies
- Persona canvas framework (guided Miro template)
- AI-assisted interview synthesis & pattern detection
- Jobs-to-be-done methodology
Deliverables
Validated Customer Problem Statement · Supporting evidence documentation · Customer segmentation map · Draft persona canvas (Miro)
Weeks 5–6
Product Development Workflow
Shaping and testing the product or service itself: translating a validated persona into a value proposition, mapping how that value is delivered, and blueprinting that process in Miro.
Week 5
Deep Personas and Value Proposition Design
Key Learnings
- Persona validation techniques
- Customer empathy building
- Persona-driven decision making
- Peer feedback on personas (Miro VC)
- Value Proposition canvas methodology
- Product-market fit principles
- Pain relievers and gain creators
- Value messaging frameworks
Deliverables
Refined persona canvas · Customer journey touchpoint map · Completed Value Proposition canvas · Value hypothesis statement
Week 6
Customer Journey Mapping and Service Blueprinting
Key Learnings
- Journey mapping techniques
- Touchpoint analysis
- Moment of truth identification
- Value delivery across the journey
- Innovation workflow mapping in Miro
- Blueprint creation methodology
- Process standardization vs. flexibility
- Tool and template libraries
Deliverables
Complete customer journey map · Value Proposition validation plan · Custom innovation workflow diagram · Initial blueprint library (3–5 Miro templates)
Weeks 7–8
Business Model Workflow
A compact, self-contained arc from canvas fundamentals through portfolio thinking to testing and iterating the business model.
Week 7
Business Model Canvas Fundamentals and Workshop
Key Learnings
- Business Model canvas framework
- Nine building blocks exploration
- AI-assisted scenario mapping for revenue models
- Cost structure analysis
- Business Model pattern recognition (AI augmented)
- Canvas interdependencies
- Model validation approaches
- Peer critique methodology
Deliverables
Initial Business Model canvas draft (Miro) · Revenue model options analysis · Refined Business Model canvas · Key assumptions documented
Week 8
Portfolio Management, Testing and Iteration
Key Learnings
- Innovation portfolio principles
- Business Model lifecycle stages
- Portfolio balancing strategies
- Resource allocation frameworks
- Assumption testing methodologies
- Experiment design
- Pivot vs. persevere decisions
- Group learning from experiments
Deliverables
Business Model Portfolio Map · Lifecycle stage assessment · Business Model experiment plan · Updated Business Model canvas
Weeks 9–10
From Principles to the Operating System and Human + AI Collaboration
Return to the four principles and apply them at team and organisation level: what would our operating system look like if it were explicitly designed for Flow, Learning, Collaboration and Agency? Then design the right relationship between humans and AI inside it.
Week 9
From Principles to the Collaborative Operating System
Key Learnings
- Translate the four design principles into operating-system choices
- Design workflows around outcomes rather than organisational silos
- Connect people, AI, information and decisions
- Design human + AI team structures
- Create feedback and learning loops
- Define decision rights and ownership
- Design the balance between autonomy and alignment
- Identify where the current organisation prevents augmented collaboration
- Connect individual workflows into a broader collaborative system
- Test the system against the four principles: does work move, does the system get smarter, does collective intelligence improve the outcome, do people have the power and responsibility to act
Deliverables
COSI Operating System Canvas: Purpose, People, AI, Workflow, Context, Decisions, Learning, Feedback · Current-state Collaborative Operating System · Four-Principle diagnostic · Future-state COSI design · Human + AI role map · Decision and ownership map · Learning and feedback loops · Priority changes required to install the new way of working
Week 10
Human + AI Collaboration: Delegate, Partner, Lead
Key Learnings
- When should humans Lead, when should they Partner with AI, and when should they Delegate to AI
- How to determine the right collaboration mode for a given task
- Uniquely human capabilities versus AI strengths
- How to maintain human judgement and accountability
- How to design AI into workflows rather than bolt it on afterwards
- Advanced prompt engineering techniques
- How to evaluate AI outputs and apply quality control
- Responsible AI practice: ethics, bias awareness and mitigation
- Peer review of operating systems in Miro VC
Deliverables
Human and AI collaboration map · Delegate, Partner, Lead decisions per activity · AI role descriptions · AI workflow prototypes · Human judgement checkpoints · AI quality and ethics principles · Tested collaborative workflow
Weeks 11–12
How to Scale / How to Implement
Bringing everything together into an implementation-ready package, with a 90-day installation plan, change management, and the final presentation of the complete Collaborative Operating System.
Week 11
90-Day Installation Plan and Change Management
Key Learnings
- Installation vs. implementation
- 90-day roadmap methodology
- AI integration roadmap & governance
- Quick wins and momentum building
- Change management principles
- Scaling from team to enterprise
- Resistance handling strategies
- Success metrics definition
Deliverables
90-Day installation roadmap · Stakeholder engagement plan (Miro) · Change management plan · Scaling strategy document
Week 12
Final Implementation Package, Presentations and Certification
Key Learnings
- Packaging your operating system
- Executive presentation techniques
- Documentation and knowledge transfer
- Continuous improvement planning
- Peer learning from cohort implementations
- Feedback and refinement
- Community building
- Commitment to action
Deliverables
Complete implementation package · Executive presentation deck · Final presentation (Miro VC) · Peer feedback documentation · Professional Certificate awarded
What You'll Have Assembled by Week 12
A complete, implementation-ready Collaborative Operating System, built across six phases and stored in your Miro workspace.
Customer Artifacts
Validated problem statements, persona canvases, segmentation maps, journey maps
Value Proposition
Completed Value Proposition canvas with tested pain relievers and gain creators
Business Model
Refined Business Model canvas with experiments, portfolio map, revenue models
Workflow Blueprints
Custom workflow diagrams and 3–5 reusable Miro process templates
AI Integration Strategy
Delegate–Partner–Lead mapping, prompt engineering fundamentals, ethics guidelines
90-Day Implementation Roadmap
Change management plan, scaling strategy, stakeholder engagement, success metrics
Certificate Eligibility
The COSI Professional Certificate is awarded upon completing all six phases of the programme. This includes 80% attendance (at least 10 of the 12 live sessions) in synchronous sessions, completion of all phase deliverables, active peer review participation, and a final presentation to your cohort.
Ready to Start Your Innovation Journey?
Join a small cohort of up to 15 innovation practitioners and build your own Collaborative Operating System over 12 intensive weeks, all on Miro.