π 6-Pager
STABLELEADERFACTOR
Leading Through AIβ’
Define. Discover. Design. Develop. Demonstrate.
Amazon 6-Pager: Product Strategy & Launch Plan
Prepared for the LeaderFactor Executive Leadership Team
March 2, 2026 β’ Author: Junior Clark
CONFIDENTIAL
1. THE OPPORTUNITY
Every CLO in the Fortune 1000 has been told by their CEO to "figure out AI for our leaders." They have budget. They have urgency. They have nothing to buy.
Organizations are spending $1.5 trillion annually on AI while 42% abandon most initiatives before production and only 1% of leaders report reaching AI maturity. The bottleneck is not technology. It is leadership. Academic programs (Wharton, MIT) cost $850β$15,000 and are theory-heavy. Commodity platforms like LinkedIn Learning offer surface-level content. The premium L&D providersβDDI, FranklinCovey, Blanchardβhave not yet built credible AI-specific offerings. They will. The window is 12β18 months.
Leading Through AIβ’ is LeaderFactor's 7th signature course: a self-paced, AI-integrated on-demand product where leaders watch teaching videos and work through exercises with an AI Thinking Partner that coaches, challenges, and remembers across modules. The medium is the messageβparticipants experience cognitive partnership by learning through cognitive partnership. No competitor has this.
LeaderFactor has three structural advantages. First, practitioner credibility: six existing signature courses, a global facilitator network, and Tim Clark Sr.'s authority in the psychological safety space. Second, the 5D Modelβa proprietary, durable, tool-agnostic framework that becomes more relevant as AI advances. Third, speed: a proven team, an AI-powered build process, and a 19-day sprint to launch. The 5D Model's DEVELOP module builds directly on the psychological safety research that LeaderFactor is known forβthe insight that AI adoption fails without trust is the bridge between our existing expertise and this new frontier.
2. THE CORE INSIGHT: THE GREAT DISTILLATION
"AI is the great distiller. It strips away everything that was never truly leadershipβand reveals what is."
AI is the first technology that automates cognitionβthe thing leaders were told was their irreducible value. This creates an identity crisis unlike any prior technology wave. But the crisis has a resolution: the parts of leadership AI replaces were never the real job. Information aggregation, report synthesis, status tracking, and routine decision-making occupied 50β70% of a typical leader's week. They were scaffolding. What remains is the essence: creating meaning, exercising judgment, building trust, and designing how human effort creates value. The Great Distillation reframes AI from threat to liberationβand it's the reason leaders lean forward rather than cross their arms.
3. THE FRAMEWORK: THE 5D MODEL
Five sequential steps every leader must take to lead effectively in the AI era. Each is an action practiced, not a concept learned once. The model is a cycle: after Demonstrate, leaders return to Define with new data.
| Step | Core Question | What It Solves |
|---|---|---|
| DEFINE | Where are weβand did we choose to be here? | Identity paralysis: leaders who haven't examined whether their AI posture was chosen or inherited. |
| DISCOVER | What's possible that we haven't seen? | Strategic blindness: leaders anchored to efficiency thinking who miss transformative possibilities. |
| DESIGN | How does work changeβtask by task? | Architecture debt: bolting AI onto processes designed for humans only. |
| DEVELOP | How do we build readiness and trust? | Adoption failure: teams that resist because safety, skill, or identity gaps weren't addressed. |
| DEMONSTRATE | How do we prove it and build the case? | Implementation failure: strategies that stall because leaders can't demonstrate value. |
Three-act structure: Act I: The Work (M1β3) moves from audit through exploration to structural redesign. Act II: The People (M4) builds trust, skills, and readiness. Act III: The Evidence (M5) proves the value and builds the case to scale.
Three structural concepts make the framework irreducibly AI-specific: Cognitive Automation (AI automates thinking itself), Autonomous Improvement (the AI partner improves without direction), and The Capability Fog (permanent uncertainty about what AI will do in 12β18 months). Replacing "AI" with "outsourcing" breaks each one.
4. THE PRODUCT
A self-paced on-demand course. Four to five sessions over 1β3 weeks. Approximately 2.5 hours total. Junior on camera for teaching. An AI Thinking Partner (Claude API) delivers personalized coaching throughout every exerciseβsubstantive, challenging, honest, and cross-module aware. The AI never generates work for the participant; it forces deeper thinking.
Module flow: Teaching video introduces the concept β AI Thinking Partner guides a structured exercise β AI synthesizes, connects to framework, challenges β Artifact saved as downloadable PDF β Bridge to next module. Each module produces a tangible artifact:
| Module | Artifact |
|---|---|
| DEFINE | Partnership Audit + Identity Statement β honest inventory of current state. |
| DISCOVER | Possibility Map β AI possibilities across efficiency, augmentation, and transformation. |
| DESIGN | Partnership Map β workflow redesign with task-level allocation and guardrails. |
| DEVELOP | Readiness Diagnostic + Safety Commitment β team assessment across four gaps. |
| DEMONSTRATE | 90-Day Demonstration Plan β 30/60/90 metrics, thresholds, scale/kill criteria. |
The AI Leadership Indexβ’ (ALI)
A proprietary 50-item assessment measuring five capacities aligned 1:1 with the 5D Model: Self-Awareness Under Disruption, Strategic Imagination, Architectural Discipline, Developmental Empathy, and Evidence-Based Leadership. Taken before the course and retaken at 90 days. The pre/post delta is the transformation story that sells enterprise renewals. The ALI also functions as a standalone top-of-funnel diagnosticβthe same playbook that drives 4 Stages workshop sales through the psychological safety assessment.
Adversarial Stress Testing
The on-demand spec was stress-tested through adversarial expert modelingβsimulated panels representing psychometrics, instructional design, I/O psychology, L&D buyers, and AI practitioners. This process drove material improvements: AI response length caps, error recovery and dissent protocols, retrieval practice, unscaffolded exercises for genuine capability demonstration, and a dramatically tighter MVP scope.
5. REVENUE MODEL & COMPETITIVE POSITION
| Channel | Price | Notes |
|---|---|---|
| On-Demand (individual) | $499 | Above L&D ceiling ($399), below academic floor ($850). |
| Enterprise (10+ seats) | $249β$349/seat | Real revenue driver. 100 seats at $249 = $24,900. |
| Certification | $2,499/facilitator | Matches DiSC ($2,495) and CCL ($2,500). |
| Workshop (per participant) | $1,495 | Anchored to CCL ($1,350) and Crucial Learning. |
| LF-Led Workshops | $6,500 + $249/seat | Enterprise custom delivery. |
| Public Workshops | $495/seat Γ 50 pax | ~$25K per session at scale. |
| Keynotes | $15Kβ$50K | Entry point and conversion mechanism. |
| Scenario | Seats | Revenue | AI Cost | Margin |
|---|---|---|---|---|
| Year 1 conservative | 2,000 | $440K | $4K | 99% |
| Year 1 moderate | 8,000 | $1.68M | $16K | 99% |
| Year 2 target | 25,000 | $5.0M | $50K | 99% |
| Year 3 target | 45,000 | $8.8M | $90K | 99% |
AI costs are approximately $2.00 per participant for the full courseβless than 1% of revenue at any price point. The margin structure enables aggressive enterprise pricing.
Launch target: March 21 targets individual purchase ($499). Enterprise sales motion begins in parallelβNick opens conversations using demo access during beta week (3/16β19).
Competitive moat: Proprietary framework, vocabulary, and assessment that no competitor can replicate. Data moat from aggregate benchmarking. Experience moat from AI-integrated delivery. The 12β18 month head start compoundsβthe first mover earns the installed facilitator base, reference pricing, and enterprise relationships.
6. LAUNCH PLAN: 19-DAY SPRINT TO MARCH 21
Five parallel workstreams: Scripts + Video (Junior, Maria, Bruno), App Build (Drew + engineering team), AI Engine (Junior + AI-assisted), Marketing (Jillian), and Assessment (AI-assisted). Week 1 carries 60% of total work.
| Date | Milestone |
|---|---|
| Mon 3/2 | ELT brief. Scripts + app scaffold begin. Module 1β2 drafts. |
| TueβThu 3/3β5 | All 6 scripts finalized. App: auth, video, conversation UI, Stripe, save/resume. AI prompts for all modules. |
| Fri 3/6 | SHOOT DAY: All 6 videos filmed (Intro + 5 modules). |
| 3/7β8 | Video editing begins. Full integration + AI conversation testing. |
| 3/9β10 | Video integration. Junior reviews. Landing page finalized. |
| 3/11β14 | Full integration. AI conversation polish. Assessment wired. |
| 3/16β19 | Beta test (3β5 users). Polish. Nick briefed with sales materials. |
| 3/21 | LAUNCH: Live + purchasable. Email to full LF list. |
Tech stack: Next.js on Vercel, Supabase (database + magic link auth), Claude API (Anthropic), Cloudflare Stream (video), Stripe Checkout. System prompts are 80% writtenβthe Course Architecture v3 is effectively the prompt engineering.
MVP ships March 21: 6 teaching videos, AI Thinking Partner (5 module conversations), ALI pre-assessment with radar chart, in-app exercises, cross-module memory, save/resume, artifact PDFs, Stripe checkout ($499), magic link auth, landing page, mobile-responsive, basic admin.
v1.1 (April): 8-week AI Coaching System, ALI retake, enterprise pricing, bulk enrollment.
v2 (Summer): SSO/SAML, SCORM, enterprise admin console, aggregate benchmarks, SOC 2.
Facilitator Path (Parallel Build β Q2)
In tandem with the on-demand launch, we begin building the full facilitation ecosystem: workshop facilitator guide, certification program ($2,499), learner licenses ($249/seat), and slide deck. This follows the same rollout pattern as The 4 Stagesβon-demand proves the content and generates market signal, certification scales it through other people's time. Target: first certification cohort by end of Q2.
Public Workshop Pipeline
LeaderFactor currently runs our 6 signature courses on a biweekly public workshop rotation (each course cycles every 12 weeks). Leading Through AI will run on its own dedicated biweekly trackβseparate from the existing 6-course rotationβfor the first 6 months. This gives it maximum frequency while market demand is at its peak. At $495/seat Γ 50 participants, each session generates ~$25K. After 6 months, we evaluate whether to maintain the dedicated track or fold it into the standard rotation. The public workshop also serves as top-of-funnel for certification: attendees experience the 5D Model firsthand and become our strongest certification buyers.
7. RISKS & MITIGATIONS
| Risk | L/I | Mitigation |
|---|---|---|
| Demand risk: nobody buys it | Low / Crit | Pre-launch: Nick smoke-tests 5 enterprise prospects before March 21. If zero interest, we pause marketing spend and sell through warm channels only. Downside is capped at team time investedβAI build costs are negligible. |
| AI conversation quality doesn't feel like partnership | Med / Crit | Test M1 conversation by Wednesday. Architecture doc provides detailed interaction scripts. Iterate Thursday. |
| Completion rates follow industry avg (15β25%) | Med / High | Sessions under 40 min. AI variety prevents fatigue. Progress visualization. Target: 50%+. |
| Enterprise buyers require SSO/SCORM | Low / Med | Email auth with org-domain restriction for MVP. SSO prioritized in v2 if deals require it. |
| Key person dependency on Junior | Med / Med | By end of Week 1: scripts done, videos shot, app requirements handed to Drew, AI prompts written. Team can execute independently. |
8. RELATIONSHIP TO EXISTING COURSES
Leading Through AI is additiveβit does not replace, cannibalize, or compete with any existing LeaderFactor course. It uses the same delivery model (on-demand + workshop + certification), the same sales motion, and the same facilitator network. The 4 Stages of Psychological Safety remains the flagship. The 5D Model's DEVELOP module explicitly connects to psychological safetyβit's a bridge to existing IP, not a departure from it.
For the team: this is not another strategic shift. It's a new product in a proven system. The only resources required are production (Maria, Bruno), marketing (Jillian), and sales enablement (Nick)βall within normal operating capacity. No existing commitments are displaced.
9. WHAT WE NEED FROM THE TEAM
| Person | Role | Critical Deliverables |
|---|---|---|
| Junior | On camera. Script review. Content direction. AI prompt design. | Refined scripts by Thu. Video shoot Fri. AI conversation quality review Wk 2. |
| Drew + Engineering | App build. Platform infrastructure. Video integration. Assessment UI. | Architecture by Wed. Working app by end of Wk 1. Full integration Wk 2. |
| Jillian | Landing page. Marketing assets. Brand. | Wireframe Tue. Final page Wk 2. Sales one-pager for Nick. |
| Maria + Bruno | Video production: shoot + edit. | Prep by Wed. Shoot Fri. Rough cuts Sun. Finals Wk 2. |
| Nick | Sales enablement. Enterprise demand testing. | Demo access + materials by 3/18. Smoke-test enterprise interest. |
This document presents the full strategic case for Leading Through AI so the team can react honestly and determine whether to marshal resources for March 21.
The Questions to React To
- Does the team believe in the market thesisβthat there's a 12β18 month window before major competitors have credible offerings, and the first mover defines the category?
- Does the 5D Model feel durable, teachable, and distinct from our existing IP while complementing it?
- Is the 19-day sprint realistic given capacityβand is each person's role clear?
- Is $499 the right launch priceβabove the L&D ceiling, below the academic floor?
- What concerns, gaps, or objections does the team see that this document hasn't addressed?
Nobody credible has built a principles-based AI leadership course for the L&D market.
The window is 12β18 months. LeaderFactor gets there first. March 21, 2026.