Evidence before answers
Learners inspect source material and document uncertainty before proposing features.
CASE STUDY PRODUCT ROADMAP
Build the mission library as the core product.
A practical plan for turning eight case-study concepts into realistic, assessable deployment simulations with evidence rooms, working builds, staged complications, and portfolio outcomes.
01 / PRODUCT OBJECTIVE
Teach judgment through deployment evidence.
The mission library should be the central learning product—not a collection of decorative case descriptions. Each mission must recreate the conditions under which forward deployed engineers actually work: incomplete information, contradictory accounts, technical constraints, organizational resistance, and a decision window that keeps moving.
A completed mission should answer one question: Can the learner enter an unfamiliar operating environment, understand the real problem, design a credible intervention, deploy it responsibly, and prove whether it created value?
Decisions before dashboards
The technical build must improve a named operating decision, not merely visualize data.
Complications after commitment
New facts arrive after the learner has committed to an initial frame and design.
Portfolio proof
Every mission ends in inspectable artifacts, a working system, and an executive recommendation.
02 / BUILD SEQUENCE
Eight complete missions establish the standard.
The full eight-mission library now provides complete experiences across logistics, manufacturing, industrial AI, retail, public transit, utility operations, insurance, and healthcare. Each includes evidence, a working slice, staged complication, artifacts, and a published quality gate.
01
FLAGSHIP LIVE
D2V Mock Freight
End-to-end operational deployment across logistics data, financial exposure, adoption, and value measurement.
PRIMARY CAPABILITYGeneral FDE judgment
Open mission →02
COMPLETE GUIDED LAB
D2V Mock Manufacturing
Industrial analytics, data provenance, traceability, and recommendations under uncertain causal evidence.
PRIMARY CAPABILITYEvidence quality and analysis
Open complete mission →03
COMPLETE GUIDED LAB
D2V Mock Industrial
Enterprise RAG, document governance, safety controls, source hierarchy, and human escalation.
PRIMARY CAPABILITYProduction AI deployment
Open complete mission →04
COMPLETE LAB
D2V Mock Retail
Inventory confidence, transfer economics, recommendation controls, local knowledge, and adoption.
PRIMARY CAPABILITYRecommendations and adoption
Open complete mission →05
COMPLETE LAB
D2V Mock Transit
Disruption recovery, accessibility, labor feasibility, protected service, and passenger consequence.
PRIMARY CAPABILITYConstraint-first service recovery
Open complete mission →06
COMPLETE GUIDED LAB
D2V Mock Energy
Real-time prioritization, geospatial operations, resilience, and critical-infrastructure fairness.
PRIMARY CAPABILITYHigh-pressure operations
Open complete mission →07
COMPLETE GUIDED LAB
D2V Mock Insurance
Responsible AI, auditability, urgent-case detection, and bias investigation.
PRIMARY CAPABILITYGoverned decision support
Open complete mission →08
COMPLETE GUIDED LAB
D2V Mock Health
Privacy-aware capacity coordination, clinical constraints, and allocation fairness.
PRIMARY CAPABILITYConstrained implementation
Open complete mission →03 / STANDARD ARCHITECTURE
Every mission follows eight stages.
A consistent structure makes missions easier to build, easier for learners to navigate, and easier for reviewers to score without making the underlying problems predictable.
Orientation
Company profile, operating context, initial request, stated objective, timeline, and known constraints.
Initial request is intentionally incomplete.Evidence room
Emails, interviews, schemas, data extracts, policies, diagrams, incidents, and financial assumptions.
Evidence conflicts in meaningful ways.Discovery checkpoint
Stakeholder map, workflow, decision map, problem statement, constraints, and open questions.
Learner commits before full disclosure.Solution design
Solution thesis, requirements, architecture, data model, controls, risks, and measurement plan.
Scope reduction is rewarded.Build
Dashboard, API, pipeline, recommendation engine, RAG workflow, or other operational system.
Failures and security are part of the build.Hidden complication
A material change invalidates part of the original plan and forces a documented response.
The complication changes the design.Deploy and adopt
Pilot charter, release plan, rollback, runbook, training, support, ownership, and adoption metrics.
The system must survive beyond the demo.Value review
Mixed pilot evidence requires a scale, revise, narrow, continue, or stop recommendation.
Usage alone is not treated as value.04 / PRODUCTION ROADMAP
All eight mission builds are complete.
The reusable system and all eight mission environments have passed their initial content-completion gate. The next roadmap work is learner validation, scoring calibration, reviewer operations, and evidence-based iteration.
PHASE 1
Create the mission system
COMPLETE · Weeks 1–2
- Standard page and file structure
- Evidence-room and stakeholder components
- Checkpoint and complication patterns
- Shared rubric and reviewer guide
- Versioning and progress model
EXIT CRITERIAOne reusable structure that can support every future mission.
PHASE 2
Complete D2V Mock Freight
COMPLETE · Weeks 3–6
- Customer environment and six stakeholders
- Messy CSV, JSON, email, and workbook evidence
- React, Python, and DuckDB starter build
- Identity-feed complication
- Pilot results and scoring examples
EXIT CRITERIAA fully runnable flagship mission ready for pilot learners.
PHASE 3
Complete D2V Mock Manufacturing
COMPLETE · Weeks 7–9
- Production-run data model
- Sensor, defect, maintenance, and material evidence
- On-premises architecture constraints
- Calibration-history complication
- Uncertainty-focused rubric
EXIT CRITERIAA mission where evidence quality materially affects the recommendation.
PHASE 4
Complete D2V Mock Industrial
COMPLETE · Weeks 10–12
- Document corpus and authority hierarchy
- RAG starter and evaluation harness
- Safety and abstention controls
- Unsafe-notes complication
- AI governance scoring guide
EXIT CRITERIAA production AI mission that sometimes must refuse to answer.
PHASE 5
Complete D2V Mock Retail
COMPLETE · Weeks 13–15
- Inventory, demand, event, and transfer-cost evidence
- Recommendation starter and evaluation cases
- Protected-inventory and human-override controls
- Regional-event complication
- Economics and adoption scoring guide
EXIT CRITERIAA retail recommendation mission that exposes uncertainty and preserves local authority.
PHASE 6
Complete D2V Mock Transit
COMPLETE
- Disruption, route, passenger, resource, and road evidence
- Constraint-first recovery starter and nine evaluation cases
- Accessibility, labor, maintenance, and service-floor controls
- Protected-route consequence complication
- Service distribution and release scoring guide
EXIT CRITERIAA transit mission where public-service controls execute before network optimization.
PHASE 7
Complete D2V Mock Energy
COMPLETE
- Storm replay and outage evidence
- Constraint-first prioritization scaffold
- Crew, access, switching, and fatigue controls
- Critical-facility complication
- Resilience and safety scoring guide
EXIT CRITERIAA utility mission where hard safety and feasibility constraints execute before optimization.
PHASE 8
Complete D2V Mock Insurance
COMPLETE
- Catastrophe claim-intake evidence
- Bounded shadow-triage scaffold
- Feature, proxy, contestability, and audit controls
- Brevity-bias complication
- Responsible-AI scoring guide
EXIT CRITERIAAn insurance mission that improves urgent human review without becoming adjudication.
PHASE 9
Complete D2V Mock Health
COMPLETE
- Referral, eligibility, capacity, and preference evidence
- Eligibility-first option-matching scaffold
- Minimum-necessary privacy and reservation controls
- Allocation-feedback complication
- Clinical, access, and operating scoring guide
EXIT CRITERIAA healthcare mission that presents feasible choices while preserving clinical and patient authority.
01Framework
02D2V Mock Freight
03D2V Mock Manufacturing
04D2V Mock Industrial
05D2V Mock Retail
06D2V Mock Transit
07D2V Mock Energy
08D2V Mock Insurance
09D2V Mock Health
05 / MISSION PACKAGES
One case, three levels of support.
The same operating environment can serve beginners, experienced engineers, certification candidates, and company teams by changing the amount of guidance and review.
Guided Mission
For learners building their first deployment case.
- Full evidence room
- Structured checkpoints
- Artifact templates
- Hints and concept explanations
- Reference debrief after completion
Independent Mission
For experienced engineers and interview preparation.
- Customer brief and evidence
- Data and constraints
- Submission requirements
- Published assessment rubric
- No solution guidance
Assessed Mission
For portfolio review and credential eligibility.
- Independent mission access
- Human portfolio review
- Written scoring and feedback
- Live technical defense
- One revision opportunity
06 / CONTENT ACCESS
Publish the promise. Protect the assessment.
Public pages should prove quality without exposing the full answer path or compromising assessed submissions.
Show openly
- Mission overview and learning outcomes
- Stakeholder summaries
- Sample evidence
- Required deliverables
- Assessment dimensions
- Portfolio outcomes
Gate after enrollment
- Full datasets and evidence room
- Complete source documents
- Hidden complication
- Pilot-result package
- Starter repository
- Structured checkpoints
Restrict tightly
- Ideal discovery findings
- Known traps and scoring anchors
- Architecture tradeoff notes
- Automatic-failure conditions
- Oral-defense questions
- Reference implementation
07 / QUALITY GATE
Do not publish a mission until it passes.
The standard prevents the library from becoming a set of clean tutorials with obvious answers.
The initial customer request is not the final problem statement.
Stakeholders disagree in ways that affect the design.
Data contains realistic defects and provenance issues.
The learner must make consequential tradeoffs.
The hidden complication changes the solution materially.
The technical build improves a named operating decision.
Deployment, adoption, and ownership affect success.
Technical, operational, and business value can be measured.
More than one defensible solution is possible.
The rubric separates weak, acceptable, and excellent work.
A reviewer can verify authorship in a live defense.
The finished work is credible portfolio evidence.
NEXT BUILD DECISION
Pilot the complete library. Improve from evidence.
All eight mission environments are complete. The next step is to observe real learner performance, refine scoring anchors, validate completion thresholds, and strengthen reviewer calibration.