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Product Strategy Analyst
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Current availability
The subject-specific curriculum is authored but not yet published for completion. Learners may inspect its scope and learning design now. Start, grading, and completion remain unavailable until every listed gate passes.
- qualified review approval is required
- reviewer identity, qualification, evidence, and approval date are required
What this course establishes
- Frame a product opportunity from user, market, organizational, operational, and ethical evidence without jumping from a symptom to a feature
- Make explicit where-to-play, how-to-win, capability, business-model, prioritization, and roadmap choices with assumptions, alternatives, dependencies, and opportunity cost
- Design governed experiments and metric systems that preserve randomization, denominators, accessibility, privacy, claims substantiation, guardrails, and decision integrity
Entry knowledge
- Basic spreadsheet, research, and professional writing skills
- Comfort distinguishing observations, assumptions, calculations, and decisions
- No product-management title or prior startup experience required
Scope boundaries
- Uses fictional organizations, people, prices, interviews, products, and synthetic data only. Learners must not collect real personal data, deploy pricing or targeting, run live experiments, manipulate users, promise outcomes, or make investment, legal, medical, employment, or financial decisions.
- This course provides introductory product-strategy practice, not individualized legal, investment, financial, privacy, accessibility, or competition advice; it does not confer professional certification, a degree, recognized college credit, employer approval, or guaranteed product or career results. Qualified domain, finance, research, accessibility, privacy, security, legal, and jurisdiction reviewers remain necessary.
Fastest competency route
Completion is self-paced and competency-based. Prior experience shortens study only when evidence, calculations, choices, tradeoffs, experiments, safeguards, and decisions are reproducible. No completion time, market success, revenue, employment, certification, transfer credit, or official recognition is guaranteed.
- Pass diagnostics on evidence, market scope, strategic choices, economics, prioritization, experimentation, measurement, accessibility, privacy, and governance
- Repair every planted defect in the synthetic strategy audit
- Complete and defend the governed product-strategy dossier
Full self-paced route
- Opportunity, user, and market diagnosis
- Strategic choices, economics, portfolio, and roadmap
- Experiments, measurement, governance, and adaptation
- Applied product-strategy dossier
Lesson and assessment map
Opportunity, user, and market diagnosis
Turn ambiguous signals into a bounded, testable strategic diagnosis without choosing the solution first.
4 questions: recall, application, judgment, and error correction.
Strategic choices, economics, portfolio, and roadmap
Convert diagnosis into a coherent set of choices, capabilities, economics, priorities, and learning commitments.
4 questions: recall, application, judgment, and error correction.
Experiments, measurement, governance, and adaptation
Test risky assumptions and make product decisions from valid, ethical, accessible, and reviewable evidence.
4 questions: recall, application, judgment, and error correction.
Required applied assignment
Diagnose, choose, test, and govern a fictional product strategy
Use only supplied fictional organizations, people, interviews, prices, and synthetic data. Do not collect or infer real personal data, deploy pricing or targeting, conduct a live experiment, manipulate users, publish claims, or make legal, employment, investment, medical, or financial decisions. Real work requires qualified domain, finance, research, accessibility, privacy/security, legal, and jurisdiction review.
- Decision and research brief, user/nonuser and market boundaries, evidence/source log, alternatives, accessible research plan, diagnosis, bottom-up sizing, uncertainty and falsifiers
- Choice cascade, non-goals, value proposition/claims evidence, business and operating model, economics scenarios, capabilities, portfolio comparison, prioritization audit and outcome roadmap
- Assumption/risk register, experiment and pre-analysis plan, event contracts, metric tree, privacy/access/harm guardrails, synthetic-data defect repairs and revision history
- Governed strategy memo with decision log, owners, dissent, dependencies, scenarios, stop/pivot/scale/rollback rules, review cadence, limitations and portfolio evidence
Passing standard: 85 of 100 points, with substantive revision required.
Continue after this course
- Supervised product discovery, market research, experimentation, economics, operations, accessibility, privacy, and analytics
- Sector- and jurisdiction-specific product governance
- Credentials verified with their issuers; this internal certificate of completion is not professional certification or college credit
