The One-Person MBA: Future-Proof Your Career with AI-Powered Lean Startup Execution
You’re good at your job. You deliver results. But lately, it feels like the ground is shifting beneath your feet. Automation. AI. Rapid industry changes. The skills that got you here won’t guarantee your relevance tomorrow. And building something new-something that matters-feels like navigating a minefield with no map. You’re not alone. Professionals across industries are facing the same pressure: innovate or stagnate. But most innovation frameworks are designed for teams, budgets, and timelines you don’t have. What if you could move fast, stay lean, and still build something fundable, impactful, and defensible-by yourself? That’s exactly what The One-Person MBA is built for. This is not theory. It’s a battle-tested system that turns uncertainty into clarity, ideas into action, and execution into credibility. In 30 days, you’ll go from a vague concept to a board-ready, AI-optimized lean startup proposal-with real data, validated assumptions, and a clear path to ROI. A marketing manager at a Fortune 500 company used this exact process to launch an AI-driven customer segmentation tool. With no prior technical background and only 45 minutes a day, she delivered a prototype that reduced acquisition costs by 19%. Her project was fast-tracked for funding, and she was promoted to lead innovation strategy. This isn’t about launching a unicorn. It’s about becoming the person who gets things done-quickly, intelligently, and with minimal risk. A person who doesn’t wait for permission. A person boards listen to. You already have the ambition. Now you need the method. Here’s how this course is structured to help you get there.Course Format & Delivery Details Designed for high-achievers with relentless schedules. This is a self-paced, on-demand learning experience with full lifetime access. No deadlines. No live sessions. No waiting for the next module. Begin the moment you enroll, progress at your pace, and revisit anytime-forever. Immediate & Ongoing Access
Enroll once, and gain immediate online access to the entire course. All materials are mobile-friendly and optimized for seamless learning across devices. Whether you’re on a lunch break, commuting, or carving out early morning focus time, the system adapts to you-not the other way around. Most learners complete the core program in under 20 hours. Many apply the first framework to their current project within 72 hours. Real progress starts fast. Tangible results emerge within days. Learning Support & Instructor Guidance
Unlike anonymous courses with no support, you’re not left to figure it out alone. You receive direct access to structured guidance throughout the program. Every module includes step-by-step workflows, tailored prompts, and built-in feedback loops to ensure you’re applying concepts correctly and building with confidence. Guidance is embedded directly into each activity, ensuring you stay on track and avoid common pitfalls-even if you’re working solo. Certificate of Completion: A Career Accelerator
Upon finishing the course, you will earn a Certificate of Completion issued by The Art of Service. This is not a participation badge. It’s a globally recognized credential that validates your ability to execute lean innovation with AI integration and strategic precision. The Art of Service has trained over 250,000 professionals worldwide in high-impact execution frameworks. Recruiters, hiring managers, and internal promotion committees recognize this certification as proof of applied strategic thinking and results-driven initiative. Pricing, Payment & Risk-Free Enrollment
The investment is straightforward with no hidden fees. You pay a single, one-time fee. That’s it. No subscriptions. No upsells. No surprise charges. The price covers full access, all updates, and your certificate. We accept all major payment methods: Visa, Mastercard, and PayPal. Checkout is secure, fast, and privacy-protected. And if this course doesn’t deliver clear value within your first few modules? You’re covered by our full money-back guarantee. If you’re not satisfied, request a refund-no questions asked. You take zero financial risk. Zero Doubt: This Works Even If...
- You’ve never built a startup before
- You work full-time in a corporate role
- You’re unsure how AI applies to your field
- You’ve tried other courses and didn’t finish
- You don’t have a team, budget, or approval to launch anything This system was designed specifically for individuals operating without resources, authority, or time. You don’t need permission. You just need a problem worth solving-and the structure to solve it right. After enrollment, you’ll receive a confirmation email. Your access details and login information will be sent separately once your course materials are fully prepared, ensuring a smooth and professional onboarding experience.
Module 1: Foundations of One-Person Innovation - Understanding the future of work and the lone operator advantage
- Why traditional MBAs fail in fast-moving environments
- Defining the One-Person MBA mindset
- The core principles of lean execution under uncertainty
- How AI augments human decision-making in idea validation
- Common myths about entrepreneurship debunked
- Self-assessment: Mapping your current skill set to innovation readiness
- Setting performance benchmarks for personal ROI
- Overcoming the fear of failure in high-visibility environments
- Building your innovation operating system from day one
Module 2: Opportunity Identification in the AI Era - Scanning for invisible problems in your existing role
- Pattern recognition: Finding inefficiencies machines can't see
- Using AI tools to analyze customer feedback at scale
- Leveraging public data sets to uncover market gaps
- The problem-first vs idea-first framework
- Conducting silent validation through digital footprints
- Prioritizing problems by impact, feasibility, and defensibility
- Mapping pain points to measurable business outcomes
- Creating a personal opportunity inventory
- Generating 10 validated problem statements in under 48 hours
Module 3: Lean Hypothesis Design & Framing - Transforming problems into testable hypotheses
- Writing clear, measurable, and falsifiable assumptions
- The 4 types of innovation risk and how to isolate them
- Designing minimum testable propositions (MTPs)
- Using AI to stress-test your hypothesis language
- Friction mapping: Predicting adoption barriers early
- Creating a hypothesis hierarchy: From core to secondary
- Aligning your experiment with stakeholder expectations
- Setting up decision gates based on evidence thresholds
- Building a hypothesis dashboard for tracking progress
Module 4: AI-Augmented Research & Insight Mining - Selecting the right AI tools for market intelligence
- Automating competitor analysis using semantic clustering
- Prompt engineering for deep industry research
- Extracting insights from earnings calls, reviews, and forums
- Identifying emerging trends before they trend
- AI-powered gap analysis in existing solutions
- Cross-validating findings using multiple data sources
- Creating an insight triage system
- Generating SWOT analysis with AI co-piloting
- Detecting confirmation bias in your own thinking
Module 5: Rapid Validation Frameworks - The 5-day validation sprint methodology
- Designing no-code landing pages for concept testing
- Using AI to generate persuasive copy variants
- Setting up automated lead capture funnels
- Running stealth surveys with behavioral triggers
- Analyzing micro-commitments as validation signals
- Interpreting bounce rate, time-on-page, and scroll depth
- Measuring willingness-to-pay through soft asks
- Creating fake-door tests without misleading users
- Turning digital signals into boardroom-ready evidence
Module 6: AI-Driven Customer Discovery - Structuring outcome-focused customer interviews
- Automating recruitment for interview participants
- Using AI to transcribe and code qualitative responses
- Identifying unmet needs through speech pattern analysis
- Asking questions that bypass social desirability bias
- Building empathy maps from real conversation data
- Clustering insights using thematic analysis tools
- Validating problem severity through behavioral cues
- Creating customer archetype profiles with AI assistance
- Generating personalized follow-up sequences automatically
Module 7: Lean Prototyping with AI Tools - Choosing the right prototyping method for your context
- Building interactive mockups with no-code platforms
- Prompting AI to generate realistic placeholder content
- Simulating backend logic using rule-based workflows
- Creating dynamic prototypes with user branching
- Using AI to suggest UX improvements
- Testing usability through remote observation tools
- Measuring confusion points via heatmaps and click tracking
- Iterating based on friction metrics
- Validating solution desirability before development
Module 8: AI-Powered Business Model Design - Applying the Lean Canvas with AI augmentation
- Automating competitive positioning analysis
- Estimating unit economics using public benchmarks
- Generating pricing models based on value metrics
- Predicting customer acquisition costs with historical data
- Simulating retention curves using pattern recognition
- Mapping revenue streams to operational constraints
- Stress-testing scalability assumptions
- Using AI to identify hidden cost drivers
- Aligning business design with organizational incentives
Module 9: Execution Strategy for One-Person Teams - The 80/20 rule of execution leverage
- Mapping high-impact, low-effort actions
- Using AI to prioritize your next move
- Building daily execution rituals
- Creating focus through time-blocking and task batching
- Managing energy, not just time
- Automating reminders and progress checks
- Setting up feedback loops for continuous calibration
- Dealing with distractions in matrixed environments
- Shielding innovation time from operational demands
Module 10: AI-Enhanced Decision Making - Reducing cognitive overload with structured inputs
- Using AI as a second brain for decision analysis
- Creating decision trees for complex trade-offs
- Automating scenario modeling under uncertainty
- Predicting downstream consequences using pattern matching
- Setting up AI-powered checklists for consistency
- Identifying emotional bias in judgment calls
- Using confidence scoring to track decision quality
- Logging decisions for retrospective learning
- Training your AI assistant on your unique context
Module 11: Stakeholder Alignment & Buy-In - Identifying key influencers in your ecosystem
- Mapping stakeholder motivations and risks
- Using AI to personalize communication strategies
- Drafting compelling narratives based on stakeholder type
- Anticipating objections using sentiment analysis
- Creating tailored briefing documents
- Running low-risk pilot presentations
- Securing micro-commitments to build momentum
- Building coalition through demonstrated progress
- Turning skeptics into advocates via evidence
Module 12: Board-Ready Proposal Development - Structuring a 10-slide innovation proposal
- Using data storytelling to drive action
- AI-assisted slide copy refinement
- Designing visuals that convey complexity simply
- Embedding validation evidence throughout
- Anticipating board-level questions in advance
- Practicing delivery with self-feedback loops
- Creating an appendix with deep-dive materials
- Aligning proposal with strategic KPIs
- Setting up post-launch evaluation metrics
Module 13: Funding & Resource Acquisition - Internal vs external funding pathways
- Designing self-funding innovation loops
- Creating budget-neutral pilot models
- Using AI to benchmark funding asks
- Negotiating for headcount without headcount
- Leveraging shared resources across departments
- Bundling innovation into existing initiatives
- Securing approval through staged rollout plans
- Measuring and communicating early ROI
- Scaling based on performance, not promises
Module 14: AI-Optimized Operational Efficiency - Mapping processes ripe for automation
- Using AI to document standard operating procedures
- Identifying decision bottlenecks in workflows
- Automating status reporting and updates
- Building no-code task coordination systems
- Creating AI-powered templates for frequent tasks
- Reducing rework through proactive validation
- Optimizing communication cadence with stakeholders
- Cloning high-performing behaviors at scale
- Measuring time saved as a KPI
Module 15: Risk Mitigation & Scenario Planning - Identifying failure modes before launch
- Using AI to simulate market response under stress
- Creating fallback plans for key assumptions
- Running pre-mortems to surface hidden risks
- Designing early warning signals for trouble
- Setting up kill criteria for unsustainable paths
- Protecting reputation during experiments
- Building ethical safeguards into AI use
- Managing data privacy and compliance proactively
- Documenting decisions for audit readiness
Module 16: Personal Branding as an Innovator - Positioning yourself as a strategic executor
- Using AI to curate and publish insights
- Building internal visibility without self-promotion
- Creating a portfolio of validated experiments
- Measuring influence through engagement metrics
- Differentiating from idea generators
- Establishing thought leadership incrementally
- Networking through value-first outreach
- Earning trust through consistency
- Preparing for high-stakes career conversations
Module 17: Scaling Impact Without Scaling Headcount - The leverage ladder: Tools, templates, and systems
- Designing repeatable innovation playbooks
- Using AI to replicate your best thinking
- Creating self-serve resources for others
- Embedding learnings into company knowledge bases
- Teaching the methodology to peers selectively
- Influencing culture through measurable outcomes
- Shifting from doer to multiplier
- Designing innovation flywheels
- Multiplying impact through documentation
Module 18: Future-Proofing Your Career - Anticipating skill obsolescence using trend analysis
- Building an ongoing learning loop with AI
- Creating a personal R&D backlog
- Testing new tools in low-risk environments
- Developing a second-order thinking habit
- Staying ahead of industry disruption signals
- Using AI to simulate career trajectories
- Aligning side projects with long-term goals
- Positioning for promotion through proof, not pitch
- Creating optionality through diverse validation experience
Module 19: Certification & Next Steps - Final review: Mapping your journey from start to finish
- Submitting your completed lean startup proposal
- Receiving personalized feedback on your work
- Finalizing your Certificate of Completion profile
- Adding your credential to LinkedIn and résumé
- Creating a public portfolio showcase
- Joining the alumni network of One-Person MBA graduates
- Accessing advanced templates and toolkits
- Setting your next 90-day innovation goal
- Establishing a lifelong innovation practice
- Understanding the future of work and the lone operator advantage
- Why traditional MBAs fail in fast-moving environments
- Defining the One-Person MBA mindset
- The core principles of lean execution under uncertainty
- How AI augments human decision-making in idea validation
- Common myths about entrepreneurship debunked
- Self-assessment: Mapping your current skill set to innovation readiness
- Setting performance benchmarks for personal ROI
- Overcoming the fear of failure in high-visibility environments
- Building your innovation operating system from day one
Module 2: Opportunity Identification in the AI Era - Scanning for invisible problems in your existing role
- Pattern recognition: Finding inefficiencies machines can't see
- Using AI tools to analyze customer feedback at scale
- Leveraging public data sets to uncover market gaps
- The problem-first vs idea-first framework
- Conducting silent validation through digital footprints
- Prioritizing problems by impact, feasibility, and defensibility
- Mapping pain points to measurable business outcomes
- Creating a personal opportunity inventory
- Generating 10 validated problem statements in under 48 hours
Module 3: Lean Hypothesis Design & Framing - Transforming problems into testable hypotheses
- Writing clear, measurable, and falsifiable assumptions
- The 4 types of innovation risk and how to isolate them
- Designing minimum testable propositions (MTPs)
- Using AI to stress-test your hypothesis language
- Friction mapping: Predicting adoption barriers early
- Creating a hypothesis hierarchy: From core to secondary
- Aligning your experiment with stakeholder expectations
- Setting up decision gates based on evidence thresholds
- Building a hypothesis dashboard for tracking progress
Module 4: AI-Augmented Research & Insight Mining - Selecting the right AI tools for market intelligence
- Automating competitor analysis using semantic clustering
- Prompt engineering for deep industry research
- Extracting insights from earnings calls, reviews, and forums
- Identifying emerging trends before they trend
- AI-powered gap analysis in existing solutions
- Cross-validating findings using multiple data sources
- Creating an insight triage system
- Generating SWOT analysis with AI co-piloting
- Detecting confirmation bias in your own thinking
Module 5: Rapid Validation Frameworks - The 5-day validation sprint methodology
- Designing no-code landing pages for concept testing
- Using AI to generate persuasive copy variants
- Setting up automated lead capture funnels
- Running stealth surveys with behavioral triggers
- Analyzing micro-commitments as validation signals
- Interpreting bounce rate, time-on-page, and scroll depth
- Measuring willingness-to-pay through soft asks
- Creating fake-door tests without misleading users
- Turning digital signals into boardroom-ready evidence
Module 6: AI-Driven Customer Discovery - Structuring outcome-focused customer interviews
- Automating recruitment for interview participants
- Using AI to transcribe and code qualitative responses
- Identifying unmet needs through speech pattern analysis
- Asking questions that bypass social desirability bias
- Building empathy maps from real conversation data
- Clustering insights using thematic analysis tools
- Validating problem severity through behavioral cues
- Creating customer archetype profiles with AI assistance
- Generating personalized follow-up sequences automatically
Module 7: Lean Prototyping with AI Tools - Choosing the right prototyping method for your context
- Building interactive mockups with no-code platforms
- Prompting AI to generate realistic placeholder content
- Simulating backend logic using rule-based workflows
- Creating dynamic prototypes with user branching
- Using AI to suggest UX improvements
- Testing usability through remote observation tools
- Measuring confusion points via heatmaps and click tracking
- Iterating based on friction metrics
- Validating solution desirability before development
Module 8: AI-Powered Business Model Design - Applying the Lean Canvas with AI augmentation
- Automating competitive positioning analysis
- Estimating unit economics using public benchmarks
- Generating pricing models based on value metrics
- Predicting customer acquisition costs with historical data
- Simulating retention curves using pattern recognition
- Mapping revenue streams to operational constraints
- Stress-testing scalability assumptions
- Using AI to identify hidden cost drivers
- Aligning business design with organizational incentives
Module 9: Execution Strategy for One-Person Teams - The 80/20 rule of execution leverage
- Mapping high-impact, low-effort actions
- Using AI to prioritize your next move
- Building daily execution rituals
- Creating focus through time-blocking and task batching
- Managing energy, not just time
- Automating reminders and progress checks
- Setting up feedback loops for continuous calibration
- Dealing with distractions in matrixed environments
- Shielding innovation time from operational demands
Module 10: AI-Enhanced Decision Making - Reducing cognitive overload with structured inputs
- Using AI as a second brain for decision analysis
- Creating decision trees for complex trade-offs
- Automating scenario modeling under uncertainty
- Predicting downstream consequences using pattern matching
- Setting up AI-powered checklists for consistency
- Identifying emotional bias in judgment calls
- Using confidence scoring to track decision quality
- Logging decisions for retrospective learning
- Training your AI assistant on your unique context
Module 11: Stakeholder Alignment & Buy-In - Identifying key influencers in your ecosystem
- Mapping stakeholder motivations and risks
- Using AI to personalize communication strategies
- Drafting compelling narratives based on stakeholder type
- Anticipating objections using sentiment analysis
- Creating tailored briefing documents
- Running low-risk pilot presentations
- Securing micro-commitments to build momentum
- Building coalition through demonstrated progress
- Turning skeptics into advocates via evidence
Module 12: Board-Ready Proposal Development - Structuring a 10-slide innovation proposal
- Using data storytelling to drive action
- AI-assisted slide copy refinement
- Designing visuals that convey complexity simply
- Embedding validation evidence throughout
- Anticipating board-level questions in advance
- Practicing delivery with self-feedback loops
- Creating an appendix with deep-dive materials
- Aligning proposal with strategic KPIs
- Setting up post-launch evaluation metrics
Module 13: Funding & Resource Acquisition - Internal vs external funding pathways
- Designing self-funding innovation loops
- Creating budget-neutral pilot models
- Using AI to benchmark funding asks
- Negotiating for headcount without headcount
- Leveraging shared resources across departments
- Bundling innovation into existing initiatives
- Securing approval through staged rollout plans
- Measuring and communicating early ROI
- Scaling based on performance, not promises
Module 14: AI-Optimized Operational Efficiency - Mapping processes ripe for automation
- Using AI to document standard operating procedures
- Identifying decision bottlenecks in workflows
- Automating status reporting and updates
- Building no-code task coordination systems
- Creating AI-powered templates for frequent tasks
- Reducing rework through proactive validation
- Optimizing communication cadence with stakeholders
- Cloning high-performing behaviors at scale
- Measuring time saved as a KPI
Module 15: Risk Mitigation & Scenario Planning - Identifying failure modes before launch
- Using AI to simulate market response under stress
- Creating fallback plans for key assumptions
- Running pre-mortems to surface hidden risks
- Designing early warning signals for trouble
- Setting up kill criteria for unsustainable paths
- Protecting reputation during experiments
- Building ethical safeguards into AI use
- Managing data privacy and compliance proactively
- Documenting decisions for audit readiness
Module 16: Personal Branding as an Innovator - Positioning yourself as a strategic executor
- Using AI to curate and publish insights
- Building internal visibility without self-promotion
- Creating a portfolio of validated experiments
- Measuring influence through engagement metrics
- Differentiating from idea generators
- Establishing thought leadership incrementally
- Networking through value-first outreach
- Earning trust through consistency
- Preparing for high-stakes career conversations
Module 17: Scaling Impact Without Scaling Headcount - The leverage ladder: Tools, templates, and systems
- Designing repeatable innovation playbooks
- Using AI to replicate your best thinking
- Creating self-serve resources for others
- Embedding learnings into company knowledge bases
- Teaching the methodology to peers selectively
- Influencing culture through measurable outcomes
- Shifting from doer to multiplier
- Designing innovation flywheels
- Multiplying impact through documentation
Module 18: Future-Proofing Your Career - Anticipating skill obsolescence using trend analysis
- Building an ongoing learning loop with AI
- Creating a personal R&D backlog
- Testing new tools in low-risk environments
- Developing a second-order thinking habit
- Staying ahead of industry disruption signals
- Using AI to simulate career trajectories
- Aligning side projects with long-term goals
- Positioning for promotion through proof, not pitch
- Creating optionality through diverse validation experience
Module 19: Certification & Next Steps - Final review: Mapping your journey from start to finish
- Submitting your completed lean startup proposal
- Receiving personalized feedback on your work
- Finalizing your Certificate of Completion profile
- Adding your credential to LinkedIn and résumé
- Creating a public portfolio showcase
- Joining the alumni network of One-Person MBA graduates
- Accessing advanced templates and toolkits
- Setting your next 90-day innovation goal
- Establishing a lifelong innovation practice
- Transforming problems into testable hypotheses
- Writing clear, measurable, and falsifiable assumptions
- The 4 types of innovation risk and how to isolate them
- Designing minimum testable propositions (MTPs)
- Using AI to stress-test your hypothesis language
- Friction mapping: Predicting adoption barriers early
- Creating a hypothesis hierarchy: From core to secondary
- Aligning your experiment with stakeholder expectations
- Setting up decision gates based on evidence thresholds
- Building a hypothesis dashboard for tracking progress
Module 4: AI-Augmented Research & Insight Mining - Selecting the right AI tools for market intelligence
- Automating competitor analysis using semantic clustering
- Prompt engineering for deep industry research
- Extracting insights from earnings calls, reviews, and forums
- Identifying emerging trends before they trend
- AI-powered gap analysis in existing solutions
- Cross-validating findings using multiple data sources
- Creating an insight triage system
- Generating SWOT analysis with AI co-piloting
- Detecting confirmation bias in your own thinking
Module 5: Rapid Validation Frameworks - The 5-day validation sprint methodology
- Designing no-code landing pages for concept testing
- Using AI to generate persuasive copy variants
- Setting up automated lead capture funnels
- Running stealth surveys with behavioral triggers
- Analyzing micro-commitments as validation signals
- Interpreting bounce rate, time-on-page, and scroll depth
- Measuring willingness-to-pay through soft asks
- Creating fake-door tests without misleading users
- Turning digital signals into boardroom-ready evidence
Module 6: AI-Driven Customer Discovery - Structuring outcome-focused customer interviews
- Automating recruitment for interview participants
- Using AI to transcribe and code qualitative responses
- Identifying unmet needs through speech pattern analysis
- Asking questions that bypass social desirability bias
- Building empathy maps from real conversation data
- Clustering insights using thematic analysis tools
- Validating problem severity through behavioral cues
- Creating customer archetype profiles with AI assistance
- Generating personalized follow-up sequences automatically
Module 7: Lean Prototyping with AI Tools - Choosing the right prototyping method for your context
- Building interactive mockups with no-code platforms
- Prompting AI to generate realistic placeholder content
- Simulating backend logic using rule-based workflows
- Creating dynamic prototypes with user branching
- Using AI to suggest UX improvements
- Testing usability through remote observation tools
- Measuring confusion points via heatmaps and click tracking
- Iterating based on friction metrics
- Validating solution desirability before development
Module 8: AI-Powered Business Model Design - Applying the Lean Canvas with AI augmentation
- Automating competitive positioning analysis
- Estimating unit economics using public benchmarks
- Generating pricing models based on value metrics
- Predicting customer acquisition costs with historical data
- Simulating retention curves using pattern recognition
- Mapping revenue streams to operational constraints
- Stress-testing scalability assumptions
- Using AI to identify hidden cost drivers
- Aligning business design with organizational incentives
Module 9: Execution Strategy for One-Person Teams - The 80/20 rule of execution leverage
- Mapping high-impact, low-effort actions
- Using AI to prioritize your next move
- Building daily execution rituals
- Creating focus through time-blocking and task batching
- Managing energy, not just time
- Automating reminders and progress checks
- Setting up feedback loops for continuous calibration
- Dealing with distractions in matrixed environments
- Shielding innovation time from operational demands
Module 10: AI-Enhanced Decision Making - Reducing cognitive overload with structured inputs
- Using AI as a second brain for decision analysis
- Creating decision trees for complex trade-offs
- Automating scenario modeling under uncertainty
- Predicting downstream consequences using pattern matching
- Setting up AI-powered checklists for consistency
- Identifying emotional bias in judgment calls
- Using confidence scoring to track decision quality
- Logging decisions for retrospective learning
- Training your AI assistant on your unique context
Module 11: Stakeholder Alignment & Buy-In - Identifying key influencers in your ecosystem
- Mapping stakeholder motivations and risks
- Using AI to personalize communication strategies
- Drafting compelling narratives based on stakeholder type
- Anticipating objections using sentiment analysis
- Creating tailored briefing documents
- Running low-risk pilot presentations
- Securing micro-commitments to build momentum
- Building coalition through demonstrated progress
- Turning skeptics into advocates via evidence
Module 12: Board-Ready Proposal Development - Structuring a 10-slide innovation proposal
- Using data storytelling to drive action
- AI-assisted slide copy refinement
- Designing visuals that convey complexity simply
- Embedding validation evidence throughout
- Anticipating board-level questions in advance
- Practicing delivery with self-feedback loops
- Creating an appendix with deep-dive materials
- Aligning proposal with strategic KPIs
- Setting up post-launch evaluation metrics
Module 13: Funding & Resource Acquisition - Internal vs external funding pathways
- Designing self-funding innovation loops
- Creating budget-neutral pilot models
- Using AI to benchmark funding asks
- Negotiating for headcount without headcount
- Leveraging shared resources across departments
- Bundling innovation into existing initiatives
- Securing approval through staged rollout plans
- Measuring and communicating early ROI
- Scaling based on performance, not promises
Module 14: AI-Optimized Operational Efficiency - Mapping processes ripe for automation
- Using AI to document standard operating procedures
- Identifying decision bottlenecks in workflows
- Automating status reporting and updates
- Building no-code task coordination systems
- Creating AI-powered templates for frequent tasks
- Reducing rework through proactive validation
- Optimizing communication cadence with stakeholders
- Cloning high-performing behaviors at scale
- Measuring time saved as a KPI
Module 15: Risk Mitigation & Scenario Planning - Identifying failure modes before launch
- Using AI to simulate market response under stress
- Creating fallback plans for key assumptions
- Running pre-mortems to surface hidden risks
- Designing early warning signals for trouble
- Setting up kill criteria for unsustainable paths
- Protecting reputation during experiments
- Building ethical safeguards into AI use
- Managing data privacy and compliance proactively
- Documenting decisions for audit readiness
Module 16: Personal Branding as an Innovator - Positioning yourself as a strategic executor
- Using AI to curate and publish insights
- Building internal visibility without self-promotion
- Creating a portfolio of validated experiments
- Measuring influence through engagement metrics
- Differentiating from idea generators
- Establishing thought leadership incrementally
- Networking through value-first outreach
- Earning trust through consistency
- Preparing for high-stakes career conversations
Module 17: Scaling Impact Without Scaling Headcount - The leverage ladder: Tools, templates, and systems
- Designing repeatable innovation playbooks
- Using AI to replicate your best thinking
- Creating self-serve resources for others
- Embedding learnings into company knowledge bases
- Teaching the methodology to peers selectively
- Influencing culture through measurable outcomes
- Shifting from doer to multiplier
- Designing innovation flywheels
- Multiplying impact through documentation
Module 18: Future-Proofing Your Career - Anticipating skill obsolescence using trend analysis
- Building an ongoing learning loop with AI
- Creating a personal R&D backlog
- Testing new tools in low-risk environments
- Developing a second-order thinking habit
- Staying ahead of industry disruption signals
- Using AI to simulate career trajectories
- Aligning side projects with long-term goals
- Positioning for promotion through proof, not pitch
- Creating optionality through diverse validation experience
Module 19: Certification & Next Steps - Final review: Mapping your journey from start to finish
- Submitting your completed lean startup proposal
- Receiving personalized feedback on your work
- Finalizing your Certificate of Completion profile
- Adding your credential to LinkedIn and résumé
- Creating a public portfolio showcase
- Joining the alumni network of One-Person MBA graduates
- Accessing advanced templates and toolkits
- Setting your next 90-day innovation goal
- Establishing a lifelong innovation practice
- The 5-day validation sprint methodology
- Designing no-code landing pages for concept testing
- Using AI to generate persuasive copy variants
- Setting up automated lead capture funnels
- Running stealth surveys with behavioral triggers
- Analyzing micro-commitments as validation signals
- Interpreting bounce rate, time-on-page, and scroll depth
- Measuring willingness-to-pay through soft asks
- Creating fake-door tests without misleading users
- Turning digital signals into boardroom-ready evidence
Module 6: AI-Driven Customer Discovery - Structuring outcome-focused customer interviews
- Automating recruitment for interview participants
- Using AI to transcribe and code qualitative responses
- Identifying unmet needs through speech pattern analysis
- Asking questions that bypass social desirability bias
- Building empathy maps from real conversation data
- Clustering insights using thematic analysis tools
- Validating problem severity through behavioral cues
- Creating customer archetype profiles with AI assistance
- Generating personalized follow-up sequences automatically
Module 7: Lean Prototyping with AI Tools - Choosing the right prototyping method for your context
- Building interactive mockups with no-code platforms
- Prompting AI to generate realistic placeholder content
- Simulating backend logic using rule-based workflows
- Creating dynamic prototypes with user branching
- Using AI to suggest UX improvements
- Testing usability through remote observation tools
- Measuring confusion points via heatmaps and click tracking
- Iterating based on friction metrics
- Validating solution desirability before development
Module 8: AI-Powered Business Model Design - Applying the Lean Canvas with AI augmentation
- Automating competitive positioning analysis
- Estimating unit economics using public benchmarks
- Generating pricing models based on value metrics
- Predicting customer acquisition costs with historical data
- Simulating retention curves using pattern recognition
- Mapping revenue streams to operational constraints
- Stress-testing scalability assumptions
- Using AI to identify hidden cost drivers
- Aligning business design with organizational incentives
Module 9: Execution Strategy for One-Person Teams - The 80/20 rule of execution leverage
- Mapping high-impact, low-effort actions
- Using AI to prioritize your next move
- Building daily execution rituals
- Creating focus through time-blocking and task batching
- Managing energy, not just time
- Automating reminders and progress checks
- Setting up feedback loops for continuous calibration
- Dealing with distractions in matrixed environments
- Shielding innovation time from operational demands
Module 10: AI-Enhanced Decision Making - Reducing cognitive overload with structured inputs
- Using AI as a second brain for decision analysis
- Creating decision trees for complex trade-offs
- Automating scenario modeling under uncertainty
- Predicting downstream consequences using pattern matching
- Setting up AI-powered checklists for consistency
- Identifying emotional bias in judgment calls
- Using confidence scoring to track decision quality
- Logging decisions for retrospective learning
- Training your AI assistant on your unique context
Module 11: Stakeholder Alignment & Buy-In - Identifying key influencers in your ecosystem
- Mapping stakeholder motivations and risks
- Using AI to personalize communication strategies
- Drafting compelling narratives based on stakeholder type
- Anticipating objections using sentiment analysis
- Creating tailored briefing documents
- Running low-risk pilot presentations
- Securing micro-commitments to build momentum
- Building coalition through demonstrated progress
- Turning skeptics into advocates via evidence
Module 12: Board-Ready Proposal Development - Structuring a 10-slide innovation proposal
- Using data storytelling to drive action
- AI-assisted slide copy refinement
- Designing visuals that convey complexity simply
- Embedding validation evidence throughout
- Anticipating board-level questions in advance
- Practicing delivery with self-feedback loops
- Creating an appendix with deep-dive materials
- Aligning proposal with strategic KPIs
- Setting up post-launch evaluation metrics
Module 13: Funding & Resource Acquisition - Internal vs external funding pathways
- Designing self-funding innovation loops
- Creating budget-neutral pilot models
- Using AI to benchmark funding asks
- Negotiating for headcount without headcount
- Leveraging shared resources across departments
- Bundling innovation into existing initiatives
- Securing approval through staged rollout plans
- Measuring and communicating early ROI
- Scaling based on performance, not promises
Module 14: AI-Optimized Operational Efficiency - Mapping processes ripe for automation
- Using AI to document standard operating procedures
- Identifying decision bottlenecks in workflows
- Automating status reporting and updates
- Building no-code task coordination systems
- Creating AI-powered templates for frequent tasks
- Reducing rework through proactive validation
- Optimizing communication cadence with stakeholders
- Cloning high-performing behaviors at scale
- Measuring time saved as a KPI
Module 15: Risk Mitigation & Scenario Planning - Identifying failure modes before launch
- Using AI to simulate market response under stress
- Creating fallback plans for key assumptions
- Running pre-mortems to surface hidden risks
- Designing early warning signals for trouble
- Setting up kill criteria for unsustainable paths
- Protecting reputation during experiments
- Building ethical safeguards into AI use
- Managing data privacy and compliance proactively
- Documenting decisions for audit readiness
Module 16: Personal Branding as an Innovator - Positioning yourself as a strategic executor
- Using AI to curate and publish insights
- Building internal visibility without self-promotion
- Creating a portfolio of validated experiments
- Measuring influence through engagement metrics
- Differentiating from idea generators
- Establishing thought leadership incrementally
- Networking through value-first outreach
- Earning trust through consistency
- Preparing for high-stakes career conversations
Module 17: Scaling Impact Without Scaling Headcount - The leverage ladder: Tools, templates, and systems
- Designing repeatable innovation playbooks
- Using AI to replicate your best thinking
- Creating self-serve resources for others
- Embedding learnings into company knowledge bases
- Teaching the methodology to peers selectively
- Influencing culture through measurable outcomes
- Shifting from doer to multiplier
- Designing innovation flywheels
- Multiplying impact through documentation
Module 18: Future-Proofing Your Career - Anticipating skill obsolescence using trend analysis
- Building an ongoing learning loop with AI
- Creating a personal R&D backlog
- Testing new tools in low-risk environments
- Developing a second-order thinking habit
- Staying ahead of industry disruption signals
- Using AI to simulate career trajectories
- Aligning side projects with long-term goals
- Positioning for promotion through proof, not pitch
- Creating optionality through diverse validation experience
Module 19: Certification & Next Steps - Final review: Mapping your journey from start to finish
- Submitting your completed lean startup proposal
- Receiving personalized feedback on your work
- Finalizing your Certificate of Completion profile
- Adding your credential to LinkedIn and résumé
- Creating a public portfolio showcase
- Joining the alumni network of One-Person MBA graduates
- Accessing advanced templates and toolkits
- Setting your next 90-day innovation goal
- Establishing a lifelong innovation practice
- Choosing the right prototyping method for your context
- Building interactive mockups with no-code platforms
- Prompting AI to generate realistic placeholder content
- Simulating backend logic using rule-based workflows
- Creating dynamic prototypes with user branching
- Using AI to suggest UX improvements
- Testing usability through remote observation tools
- Measuring confusion points via heatmaps and click tracking
- Iterating based on friction metrics
- Validating solution desirability before development
Module 8: AI-Powered Business Model Design - Applying the Lean Canvas with AI augmentation
- Automating competitive positioning analysis
- Estimating unit economics using public benchmarks
- Generating pricing models based on value metrics
- Predicting customer acquisition costs with historical data
- Simulating retention curves using pattern recognition
- Mapping revenue streams to operational constraints
- Stress-testing scalability assumptions
- Using AI to identify hidden cost drivers
- Aligning business design with organizational incentives
Module 9: Execution Strategy for One-Person Teams - The 80/20 rule of execution leverage
- Mapping high-impact, low-effort actions
- Using AI to prioritize your next move
- Building daily execution rituals
- Creating focus through time-blocking and task batching
- Managing energy, not just time
- Automating reminders and progress checks
- Setting up feedback loops for continuous calibration
- Dealing with distractions in matrixed environments
- Shielding innovation time from operational demands
Module 10: AI-Enhanced Decision Making - Reducing cognitive overload with structured inputs
- Using AI as a second brain for decision analysis
- Creating decision trees for complex trade-offs
- Automating scenario modeling under uncertainty
- Predicting downstream consequences using pattern matching
- Setting up AI-powered checklists for consistency
- Identifying emotional bias in judgment calls
- Using confidence scoring to track decision quality
- Logging decisions for retrospective learning
- Training your AI assistant on your unique context
Module 11: Stakeholder Alignment & Buy-In - Identifying key influencers in your ecosystem
- Mapping stakeholder motivations and risks
- Using AI to personalize communication strategies
- Drafting compelling narratives based on stakeholder type
- Anticipating objections using sentiment analysis
- Creating tailored briefing documents
- Running low-risk pilot presentations
- Securing micro-commitments to build momentum
- Building coalition through demonstrated progress
- Turning skeptics into advocates via evidence
Module 12: Board-Ready Proposal Development - Structuring a 10-slide innovation proposal
- Using data storytelling to drive action
- AI-assisted slide copy refinement
- Designing visuals that convey complexity simply
- Embedding validation evidence throughout
- Anticipating board-level questions in advance
- Practicing delivery with self-feedback loops
- Creating an appendix with deep-dive materials
- Aligning proposal with strategic KPIs
- Setting up post-launch evaluation metrics
Module 13: Funding & Resource Acquisition - Internal vs external funding pathways
- Designing self-funding innovation loops
- Creating budget-neutral pilot models
- Using AI to benchmark funding asks
- Negotiating for headcount without headcount
- Leveraging shared resources across departments
- Bundling innovation into existing initiatives
- Securing approval through staged rollout plans
- Measuring and communicating early ROI
- Scaling based on performance, not promises
Module 14: AI-Optimized Operational Efficiency - Mapping processes ripe for automation
- Using AI to document standard operating procedures
- Identifying decision bottlenecks in workflows
- Automating status reporting and updates
- Building no-code task coordination systems
- Creating AI-powered templates for frequent tasks
- Reducing rework through proactive validation
- Optimizing communication cadence with stakeholders
- Cloning high-performing behaviors at scale
- Measuring time saved as a KPI
Module 15: Risk Mitigation & Scenario Planning - Identifying failure modes before launch
- Using AI to simulate market response under stress
- Creating fallback plans for key assumptions
- Running pre-mortems to surface hidden risks
- Designing early warning signals for trouble
- Setting up kill criteria for unsustainable paths
- Protecting reputation during experiments
- Building ethical safeguards into AI use
- Managing data privacy and compliance proactively
- Documenting decisions for audit readiness
Module 16: Personal Branding as an Innovator - Positioning yourself as a strategic executor
- Using AI to curate and publish insights
- Building internal visibility without self-promotion
- Creating a portfolio of validated experiments
- Measuring influence through engagement metrics
- Differentiating from idea generators
- Establishing thought leadership incrementally
- Networking through value-first outreach
- Earning trust through consistency
- Preparing for high-stakes career conversations
Module 17: Scaling Impact Without Scaling Headcount - The leverage ladder: Tools, templates, and systems
- Designing repeatable innovation playbooks
- Using AI to replicate your best thinking
- Creating self-serve resources for others
- Embedding learnings into company knowledge bases
- Teaching the methodology to peers selectively
- Influencing culture through measurable outcomes
- Shifting from doer to multiplier
- Designing innovation flywheels
- Multiplying impact through documentation
Module 18: Future-Proofing Your Career - Anticipating skill obsolescence using trend analysis
- Building an ongoing learning loop with AI
- Creating a personal R&D backlog
- Testing new tools in low-risk environments
- Developing a second-order thinking habit
- Staying ahead of industry disruption signals
- Using AI to simulate career trajectories
- Aligning side projects with long-term goals
- Positioning for promotion through proof, not pitch
- Creating optionality through diverse validation experience
Module 19: Certification & Next Steps - Final review: Mapping your journey from start to finish
- Submitting your completed lean startup proposal
- Receiving personalized feedback on your work
- Finalizing your Certificate of Completion profile
- Adding your credential to LinkedIn and résumé
- Creating a public portfolio showcase
- Joining the alumni network of One-Person MBA graduates
- Accessing advanced templates and toolkits
- Setting your next 90-day innovation goal
- Establishing a lifelong innovation practice
- The 80/20 rule of execution leverage
- Mapping high-impact, low-effort actions
- Using AI to prioritize your next move
- Building daily execution rituals
- Creating focus through time-blocking and task batching
- Managing energy, not just time
- Automating reminders and progress checks
- Setting up feedback loops for continuous calibration
- Dealing with distractions in matrixed environments
- Shielding innovation time from operational demands
Module 10: AI-Enhanced Decision Making - Reducing cognitive overload with structured inputs
- Using AI as a second brain for decision analysis
- Creating decision trees for complex trade-offs
- Automating scenario modeling under uncertainty
- Predicting downstream consequences using pattern matching
- Setting up AI-powered checklists for consistency
- Identifying emotional bias in judgment calls
- Using confidence scoring to track decision quality
- Logging decisions for retrospective learning
- Training your AI assistant on your unique context
Module 11: Stakeholder Alignment & Buy-In - Identifying key influencers in your ecosystem
- Mapping stakeholder motivations and risks
- Using AI to personalize communication strategies
- Drafting compelling narratives based on stakeholder type
- Anticipating objections using sentiment analysis
- Creating tailored briefing documents
- Running low-risk pilot presentations
- Securing micro-commitments to build momentum
- Building coalition through demonstrated progress
- Turning skeptics into advocates via evidence
Module 12: Board-Ready Proposal Development - Structuring a 10-slide innovation proposal
- Using data storytelling to drive action
- AI-assisted slide copy refinement
- Designing visuals that convey complexity simply
- Embedding validation evidence throughout
- Anticipating board-level questions in advance
- Practicing delivery with self-feedback loops
- Creating an appendix with deep-dive materials
- Aligning proposal with strategic KPIs
- Setting up post-launch evaluation metrics
Module 13: Funding & Resource Acquisition - Internal vs external funding pathways
- Designing self-funding innovation loops
- Creating budget-neutral pilot models
- Using AI to benchmark funding asks
- Negotiating for headcount without headcount
- Leveraging shared resources across departments
- Bundling innovation into existing initiatives
- Securing approval through staged rollout plans
- Measuring and communicating early ROI
- Scaling based on performance, not promises
Module 14: AI-Optimized Operational Efficiency - Mapping processes ripe for automation
- Using AI to document standard operating procedures
- Identifying decision bottlenecks in workflows
- Automating status reporting and updates
- Building no-code task coordination systems
- Creating AI-powered templates for frequent tasks
- Reducing rework through proactive validation
- Optimizing communication cadence with stakeholders
- Cloning high-performing behaviors at scale
- Measuring time saved as a KPI
Module 15: Risk Mitigation & Scenario Planning - Identifying failure modes before launch
- Using AI to simulate market response under stress
- Creating fallback plans for key assumptions
- Running pre-mortems to surface hidden risks
- Designing early warning signals for trouble
- Setting up kill criteria for unsustainable paths
- Protecting reputation during experiments
- Building ethical safeguards into AI use
- Managing data privacy and compliance proactively
- Documenting decisions for audit readiness
Module 16: Personal Branding as an Innovator - Positioning yourself as a strategic executor
- Using AI to curate and publish insights
- Building internal visibility without self-promotion
- Creating a portfolio of validated experiments
- Measuring influence through engagement metrics
- Differentiating from idea generators
- Establishing thought leadership incrementally
- Networking through value-first outreach
- Earning trust through consistency
- Preparing for high-stakes career conversations
Module 17: Scaling Impact Without Scaling Headcount - The leverage ladder: Tools, templates, and systems
- Designing repeatable innovation playbooks
- Using AI to replicate your best thinking
- Creating self-serve resources for others
- Embedding learnings into company knowledge bases
- Teaching the methodology to peers selectively
- Influencing culture through measurable outcomes
- Shifting from doer to multiplier
- Designing innovation flywheels
- Multiplying impact through documentation
Module 18: Future-Proofing Your Career - Anticipating skill obsolescence using trend analysis
- Building an ongoing learning loop with AI
- Creating a personal R&D backlog
- Testing new tools in low-risk environments
- Developing a second-order thinking habit
- Staying ahead of industry disruption signals
- Using AI to simulate career trajectories
- Aligning side projects with long-term goals
- Positioning for promotion through proof, not pitch
- Creating optionality through diverse validation experience
Module 19: Certification & Next Steps - Final review: Mapping your journey from start to finish
- Submitting your completed lean startup proposal
- Receiving personalized feedback on your work
- Finalizing your Certificate of Completion profile
- Adding your credential to LinkedIn and résumé
- Creating a public portfolio showcase
- Joining the alumni network of One-Person MBA graduates
- Accessing advanced templates and toolkits
- Setting your next 90-day innovation goal
- Establishing a lifelong innovation practice
- Identifying key influencers in your ecosystem
- Mapping stakeholder motivations and risks
- Using AI to personalize communication strategies
- Drafting compelling narratives based on stakeholder type
- Anticipating objections using sentiment analysis
- Creating tailored briefing documents
- Running low-risk pilot presentations
- Securing micro-commitments to build momentum
- Building coalition through demonstrated progress
- Turning skeptics into advocates via evidence
Module 12: Board-Ready Proposal Development - Structuring a 10-slide innovation proposal
- Using data storytelling to drive action
- AI-assisted slide copy refinement
- Designing visuals that convey complexity simply
- Embedding validation evidence throughout
- Anticipating board-level questions in advance
- Practicing delivery with self-feedback loops
- Creating an appendix with deep-dive materials
- Aligning proposal with strategic KPIs
- Setting up post-launch evaluation metrics
Module 13: Funding & Resource Acquisition - Internal vs external funding pathways
- Designing self-funding innovation loops
- Creating budget-neutral pilot models
- Using AI to benchmark funding asks
- Negotiating for headcount without headcount
- Leveraging shared resources across departments
- Bundling innovation into existing initiatives
- Securing approval through staged rollout plans
- Measuring and communicating early ROI
- Scaling based on performance, not promises
Module 14: AI-Optimized Operational Efficiency - Mapping processes ripe for automation
- Using AI to document standard operating procedures
- Identifying decision bottlenecks in workflows
- Automating status reporting and updates
- Building no-code task coordination systems
- Creating AI-powered templates for frequent tasks
- Reducing rework through proactive validation
- Optimizing communication cadence with stakeholders
- Cloning high-performing behaviors at scale
- Measuring time saved as a KPI
Module 15: Risk Mitigation & Scenario Planning - Identifying failure modes before launch
- Using AI to simulate market response under stress
- Creating fallback plans for key assumptions
- Running pre-mortems to surface hidden risks
- Designing early warning signals for trouble
- Setting up kill criteria for unsustainable paths
- Protecting reputation during experiments
- Building ethical safeguards into AI use
- Managing data privacy and compliance proactively
- Documenting decisions for audit readiness
Module 16: Personal Branding as an Innovator - Positioning yourself as a strategic executor
- Using AI to curate and publish insights
- Building internal visibility without self-promotion
- Creating a portfolio of validated experiments
- Measuring influence through engagement metrics
- Differentiating from idea generators
- Establishing thought leadership incrementally
- Networking through value-first outreach
- Earning trust through consistency
- Preparing for high-stakes career conversations
Module 17: Scaling Impact Without Scaling Headcount - The leverage ladder: Tools, templates, and systems
- Designing repeatable innovation playbooks
- Using AI to replicate your best thinking
- Creating self-serve resources for others
- Embedding learnings into company knowledge bases
- Teaching the methodology to peers selectively
- Influencing culture through measurable outcomes
- Shifting from doer to multiplier
- Designing innovation flywheels
- Multiplying impact through documentation
Module 18: Future-Proofing Your Career - Anticipating skill obsolescence using trend analysis
- Building an ongoing learning loop with AI
- Creating a personal R&D backlog
- Testing new tools in low-risk environments
- Developing a second-order thinking habit
- Staying ahead of industry disruption signals
- Using AI to simulate career trajectories
- Aligning side projects with long-term goals
- Positioning for promotion through proof, not pitch
- Creating optionality through diverse validation experience
Module 19: Certification & Next Steps - Final review: Mapping your journey from start to finish
- Submitting your completed lean startup proposal
- Receiving personalized feedback on your work
- Finalizing your Certificate of Completion profile
- Adding your credential to LinkedIn and résumé
- Creating a public portfolio showcase
- Joining the alumni network of One-Person MBA graduates
- Accessing advanced templates and toolkits
- Setting your next 90-day innovation goal
- Establishing a lifelong innovation practice
- Internal vs external funding pathways
- Designing self-funding innovation loops
- Creating budget-neutral pilot models
- Using AI to benchmark funding asks
- Negotiating for headcount without headcount
- Leveraging shared resources across departments
- Bundling innovation into existing initiatives
- Securing approval through staged rollout plans
- Measuring and communicating early ROI
- Scaling based on performance, not promises
Module 14: AI-Optimized Operational Efficiency - Mapping processes ripe for automation
- Using AI to document standard operating procedures
- Identifying decision bottlenecks in workflows
- Automating status reporting and updates
- Building no-code task coordination systems
- Creating AI-powered templates for frequent tasks
- Reducing rework through proactive validation
- Optimizing communication cadence with stakeholders
- Cloning high-performing behaviors at scale
- Measuring time saved as a KPI
Module 15: Risk Mitigation & Scenario Planning - Identifying failure modes before launch
- Using AI to simulate market response under stress
- Creating fallback plans for key assumptions
- Running pre-mortems to surface hidden risks
- Designing early warning signals for trouble
- Setting up kill criteria for unsustainable paths
- Protecting reputation during experiments
- Building ethical safeguards into AI use
- Managing data privacy and compliance proactively
- Documenting decisions for audit readiness
Module 16: Personal Branding as an Innovator - Positioning yourself as a strategic executor
- Using AI to curate and publish insights
- Building internal visibility without self-promotion
- Creating a portfolio of validated experiments
- Measuring influence through engagement metrics
- Differentiating from idea generators
- Establishing thought leadership incrementally
- Networking through value-first outreach
- Earning trust through consistency
- Preparing for high-stakes career conversations
Module 17: Scaling Impact Without Scaling Headcount - The leverage ladder: Tools, templates, and systems
- Designing repeatable innovation playbooks
- Using AI to replicate your best thinking
- Creating self-serve resources for others
- Embedding learnings into company knowledge bases
- Teaching the methodology to peers selectively
- Influencing culture through measurable outcomes
- Shifting from doer to multiplier
- Designing innovation flywheels
- Multiplying impact through documentation
Module 18: Future-Proofing Your Career - Anticipating skill obsolescence using trend analysis
- Building an ongoing learning loop with AI
- Creating a personal R&D backlog
- Testing new tools in low-risk environments
- Developing a second-order thinking habit
- Staying ahead of industry disruption signals
- Using AI to simulate career trajectories
- Aligning side projects with long-term goals
- Positioning for promotion through proof, not pitch
- Creating optionality through diverse validation experience
Module 19: Certification & Next Steps - Final review: Mapping your journey from start to finish
- Submitting your completed lean startup proposal
- Receiving personalized feedback on your work
- Finalizing your Certificate of Completion profile
- Adding your credential to LinkedIn and résumé
- Creating a public portfolio showcase
- Joining the alumni network of One-Person MBA graduates
- Accessing advanced templates and toolkits
- Setting your next 90-day innovation goal
- Establishing a lifelong innovation practice
- Identifying failure modes before launch
- Using AI to simulate market response under stress
- Creating fallback plans for key assumptions
- Running pre-mortems to surface hidden risks
- Designing early warning signals for trouble
- Setting up kill criteria for unsustainable paths
- Protecting reputation during experiments
- Building ethical safeguards into AI use
- Managing data privacy and compliance proactively
- Documenting decisions for audit readiness
Module 16: Personal Branding as an Innovator - Positioning yourself as a strategic executor
- Using AI to curate and publish insights
- Building internal visibility without self-promotion
- Creating a portfolio of validated experiments
- Measuring influence through engagement metrics
- Differentiating from idea generators
- Establishing thought leadership incrementally
- Networking through value-first outreach
- Earning trust through consistency
- Preparing for high-stakes career conversations
Module 17: Scaling Impact Without Scaling Headcount - The leverage ladder: Tools, templates, and systems
- Designing repeatable innovation playbooks
- Using AI to replicate your best thinking
- Creating self-serve resources for others
- Embedding learnings into company knowledge bases
- Teaching the methodology to peers selectively
- Influencing culture through measurable outcomes
- Shifting from doer to multiplier
- Designing innovation flywheels
- Multiplying impact through documentation
Module 18: Future-Proofing Your Career - Anticipating skill obsolescence using trend analysis
- Building an ongoing learning loop with AI
- Creating a personal R&D backlog
- Testing new tools in low-risk environments
- Developing a second-order thinking habit
- Staying ahead of industry disruption signals
- Using AI to simulate career trajectories
- Aligning side projects with long-term goals
- Positioning for promotion through proof, not pitch
- Creating optionality through diverse validation experience
Module 19: Certification & Next Steps - Final review: Mapping your journey from start to finish
- Submitting your completed lean startup proposal
- Receiving personalized feedback on your work
- Finalizing your Certificate of Completion profile
- Adding your credential to LinkedIn and résumé
- Creating a public portfolio showcase
- Joining the alumni network of One-Person MBA graduates
- Accessing advanced templates and toolkits
- Setting your next 90-day innovation goal
- Establishing a lifelong innovation practice
- The leverage ladder: Tools, templates, and systems
- Designing repeatable innovation playbooks
- Using AI to replicate your best thinking
- Creating self-serve resources for others
- Embedding learnings into company knowledge bases
- Teaching the methodology to peers selectively
- Influencing culture through measurable outcomes
- Shifting from doer to multiplier
- Designing innovation flywheels
- Multiplying impact through documentation
Module 18: Future-Proofing Your Career - Anticipating skill obsolescence using trend analysis
- Building an ongoing learning loop with AI
- Creating a personal R&D backlog
- Testing new tools in low-risk environments
- Developing a second-order thinking habit
- Staying ahead of industry disruption signals
- Using AI to simulate career trajectories
- Aligning side projects with long-term goals
- Positioning for promotion through proof, not pitch
- Creating optionality through diverse validation experience
Module 19: Certification & Next Steps - Final review: Mapping your journey from start to finish
- Submitting your completed lean startup proposal
- Receiving personalized feedback on your work
- Finalizing your Certificate of Completion profile
- Adding your credential to LinkedIn and résumé
- Creating a public portfolio showcase
- Joining the alumni network of One-Person MBA graduates
- Accessing advanced templates and toolkits
- Setting your next 90-day innovation goal
- Establishing a lifelong innovation practice
- Final review: Mapping your journey from start to finish
- Submitting your completed lean startup proposal
- Receiving personalized feedback on your work
- Finalizing your Certificate of Completion profile
- Adding your credential to LinkedIn and résumé
- Creating a public portfolio showcase
- Joining the alumni network of One-Person MBA graduates
- Accessing advanced templates and toolkits
- Setting your next 90-day innovation goal
- Establishing a lifelong innovation practice