Vocational scenario simulator
Learners cannot safely practice every difficult workplace situation. Industry-specific situations evaluated against observable vocational competencies.
01The offer
For vocational training providers, turn trainer-authored scenarios and competency rubrics into scenario transcripts and competency feedback. Address the recurring problem: learners cannot safely practice every difficult workplace situation. The value hypothesis is a more complete, reviewable deliverable with less repeated preparation; the pilot must establish whether that benefit is real.
- For
- Vocational training providers
- Takes in
- Trainer-authored scenarios and competency rubrics
- Delivers
- Scenario transcripts and competency feedback
- Message
- Vocational scenario simulator for vocational training providers. Industry-specific situations evaluated against observable vocational competencies. Demonstrate the claim through one difficult workplace scenario with a debrief.
- Lead magnet
- One difficult workplace scenario with a debrief
02How it works
- Simulate customer interactions
- Vary constraints
- Branch consequences
- Capture decisions
- Score against rubrics
- Support trainer debriefs
Workflow
Set the participant’s goal, choose or customize a scenario, conduct an interactive session, record choices or dialogue, review evidence-based feedback with a facilitator when needed, and repeat selected parts with changed constraints. Start with trainer-authored scenarios and competency rubrics and finish with scenario transcripts and competency feedback.
AI and people
Generate responsive dialogue, alternative situations and structured reflection prompts. Ground feedback in agreed goals or rubrics. Treat creative choices and facilitator judgment as authoritative. Evaluate specific actions rather than infer personality or hidden traits.
Screens
Key screens: Scenario map, roleplay room, trainer dashboard. Use a scenario catalog with clear goals and difficulty settings. The main session area supports text, optional voice and visible context. Follow it with a replay or decision map, annotated feedback and a next-practice plan. Facilitators can author scenarios and review participant-selected sessions. In this product, the first view is scenario map, followed by roleplay room and trainer dashboard.
Admin
Participant-controlled session sharing, scenario versions, facilitator tools, replay history, rubric calibration, practice goals and exportable feedback.
03Market gap
Alternatives buyers use today
Human coaching, workshops, static courses, roleplay with colleagues and general chat tools. Differentiate on this specific proposed advantage: industry-specific situations evaluated against observable vocational competencies. Test it against the buyer's current method on the same task. Competitor coverage and uniqueness have not been established.
Where this wins
Realistic domain scenarios, qualified facilitator relationships and reviewed examples of useful feedback and successful practice. For this solution, build around industry-specific situations evaluated against observable vocational competencies. This advantage requires execution and accumulated customer trust; the base model alone is not a defensible asset.
04Why now
Education teams are adopting AI for exactly this kind of repeatable work, and the cost of language and vision models has dropped far enough that a narrow, reviewed workflow pays back quickly. The buyer already feels the problem: learners cannot safely practice every difficult workplace situation.
05Proof & signals
Channels where buyers gather: Trade schools and employer training partners. Metrics that prove it works: Trainer-rated competence, repeated error reduction.
Paid pilot
Run a short scenario with representative participants, then repeat with a different case. Ask a qualified coach or facilitator to assess usefulness and observable improvement independently of the AI feedback. For this solution, use trainer-authored scenarios and competency rubrics and evaluate scenario transcripts and competency feedback. Agree success thresholds with the buyer before starting; collect a baseline for trainer-rated competence, repeated error reduction. A positive signal is payment and repeat use with acceptable quality and delivery cost, not a favorable demo reaction alone.
06Execution plan
MVP
Begin with vocational training providers and one recurring use case. Build the first two modules: simulate customer interactions; vary constraints. Provide operator assistance for the third module: branch consequences. Deliver scenario transcripts and competency feedback through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.
First 30 days
Week 1: interview five prospective buyers in this segment: vocational training providers. Ask to see a recent example of the problem and their current process. Week 2: prepare this demonstration using authorized or synthetic material: one difficult workplace scenario with a debrief. Week 3: present it through trade schools and employer training partners and seek one narrowly scoped paid pilot. Week 4: review trainer-rated competence, repeated error reduction, total delivery effort and a concrete renewal decision before increasing scope.
After the pilot
After paid pilots establish value, automate the remaining modules: capture decisions; score against rubrics; support trainer debriefs. Add one validated source integration, reusable customer configuration and recurring delivery. Expand to additional teams, document formats or languages only after testing the new scope.
Retention
Release relevant new scenarios, support repeat practice and offer facilitator review. Expand to another role only with appropriate scenarios and calibrated feedback.
Integrations
Learning resources, course portals and educator review processes. Learning portals, calendar scheduling and authorized session exports. Make recording, sharing and retention controls explicit in the product. These are candidate integration categories, not verified supported connectors.
07Investment and running costs
| Phase | Scope | Time | Budget |
|---|---|---|---|
| MVP | One buyer segment, one recurring use case; first modules: simulate customer interactions; vary constraints. Manual review in the loop. | 3 days | $6,000 |
| Paid pilot | Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers. | 4 days | $5,500 |
| Full product | Remaining modules: capture decisions; score against rubrics; support trainer debriefs. Self-serve onboarding, billing, monitoring and the wider integration set. | 6 days | $7,500 |
| Total | $19,000 | ||
| Running | Hosting | AI usage | Total a month |
|---|---|---|---|
| MVP and paid pilot (about 3 customers) | $30–$60 | $50–$110 | $80–$170 |
| Full product (about 50 customers) | $110–$210 | $420–$840 | $530–$1,050 |
Revenue model to test
Test USD 300-1,500 for a facilitated team pilot, or USD 20-80 per participant monthly for self-serve practice with limited usage. Bespoke workshops and expert coaching are separately scoped. Pricing is hypothetical.
Cost drivers
Scenario design, voice processing if used, model interaction length, facilitator review, rubric calibration and learner support.
Safeguards
Use educator-reviewed content and answer keys. Apply appropriate access and consent for learner records and distinguish completion from demonstrated learning. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.
Take it further
Concept proposal expanded from the 315-solution conversation. Demand, pricing, differentiation, build scope and integration feasibility are hypotheses, not verified market findings. Category link is inspiration rather than evidence of business viability.