{"slug":"curriculum-prerequisite-mapper","name":"Curriculum prerequisite mapper","category":"Education","customer":"Vocational curriculum leads","problem":"New modules assume skills that learners have never been taught.","value":"For vocational curriculum leads, turn approved syllabi and competency definitions into educator-approved prerequisite map. Address this specific problem: new modules assume skills that learners have never been taught. The aim: expose missing prerequisites across courses before enrollment. The pilot tests whether that benefit holds up against reviewer effort and real operating costs.","format":"Assumption-driven planning and decision workspace","screens":"Key screens: Module map, Prerequisite graph, Gap review. Place editable drivers and constraints beside a clearly labeled scenario output. Include a baseline view, comparison chart or schedule, and an assumptions history. Let users trace a proposed quantity or date back to its inputs. Keep forecasts distinct from actual results. Open with module map; move into prerequisite graph for the detailed task; finish in gap review for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.","functionality":"1. Extract learning objectives. 2. Propose prerequisite links. 3. Identify unsupported assumptions. 4. Detect curriculum loops. 5. Gather educator decisions. 6. Export learning sequence.","workflow":"The buyer creates a project, supplies approved syllabi and competency definitions, and confirms scope and access. The working sequence is: 1. Extract learning objectives. 2. Propose prerequisite links. 3. Identify unsupported assumptions. 4. Detect curriculum loops. 5. Gather educator decisions. 6. Export learning sequence. Users correct extracted facts, resolve flagged uncertainties and approve the final educator-approved prerequisite map before use. Retain source links and a version history for the next cycle.","ai":"Propose links; educators determine actual prerequisites. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.","inputs":"Approved syllabi and competency definitions","deliverables":"Educator-approved prerequisite map","admin":"Scenario versions, baseline reconciliation, constraint checks, assumption ownership, reviewer approvals, plan exports and actual-versus-plan tracking. Include organization-scoped access, named project owners, review queues, usage limits, export history and retention settings. Never reuse private customer material for other accounts without permission.","mvp":"Costed pilot: One qualification with manually approved dependencies. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: extract learning objectives; propose prerequisite links. Support the third task through an assisted review queue: identify unsupported assumptions. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of educator-approved prerequisite map. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.","expansion":"After paying customers repeatedly accept educator-approved prerequisite map, automate detect curriculum loops; gather educator decisions; export learning sequence. Add one tested read integration, reusable customer configuration and scheduled repeat delivery. Increase supported formats or teams only when evaluation cases and reviewer capacity cover the new scope. One qualification with manually approved dependencies.","usp":"Expose missing prerequisites across courses before enrollment.","defensibility":"A validated domain model, customer-approved constraints and forecast or decision history that improves practical planning. For this concept, accumulate permissioned examples and reviewer corrections around expose missing prerequisites across courses before enrollment. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.","alternatives":"Spreadsheets, planners, specialist forecasting tools and existing scheduling or configuration software. Position this concept around expose missing prerequisites across courses before enrollment. Compare it against the customer's current process on the same representative task. This is proposed differentiation; no exhaustive competitor study or uniqueness claim has been established.","revenue":"Test USD 750-3,000 for a scoped planning setup and review, then USD 200-900 monthly for refreshes within agreed complexity. Data integration and optimization are separately scoped. All ranges are hypotheses. For this buyer, package the first sale around map one certificate pathway and the defined educator-approved prerequisite map. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.","costs":"Data preparation, domain modeling, validation, scenario computation, reviewer support and ongoing assumption maintenance. Initial validation additionally budgets for subject-expert review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.","integrations":"Learning resources, course portals and educator review processes. Read-only operational exports, calendars and finance or inventory records as relevant. Start with plan exports and retain human approval for execution. Begin with uploads and exports of approved syllabi and competency definitions. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.","dependencies":"A defensible calculation model, explicit units, constraint validation and representative boundary tests. Advanced forecasting or optimization needs adequate historical data. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: One qualification with manually approved dependencies.","pilot":"Agree the acceptance criteria, input limits and reviewer responsibilities before starting. Run map one certificate pathway and deliver educator-approved prerequisite map. Compare confirmed prerequisite gaps and review time with the buyer's current process on comparable cases; include corrections, missed issues and reviewer time. Seek payment and repeat use. Stop or revise the scope if data access, accuracy or unit economics fail.","plan30":"Week 1: interview five prospective buyers from vocational curriculum leads and inspect how they handle new modules assume skills that learners have never been taught. Week 2: prepare map one certificate pathway using authorized or synthetic material. Week 3: share the demonstration through vocational associations and curriculum consultants and seek one bounded paid pilot. Week 4: measure confirmed prerequisite gaps and review time, review delivery effort and ask for a repeat purchase. This is a validation schedule, not a promise that the full product can be built in thirty days.","metrics":"Confirmed prerequisite gaps and review time","channels":"Vocational associations and curriculum consultants","leadMagnet":"Map one certificate pathway","message":"Expose missing prerequisites across courses before enrollment. Demonstrate the result with map one certificate pathway for vocational curriculum leads. Use a concrete before-and-after example without promising unmeasured savings.","retention":"Build repeat use around educator-approved prerequisite map. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on confirmed prerequisite gaps and review time. Offer a recurring volume allowance after repeat demand; expand to adjacent tasks only when the buyer asks and delivery quality remains acceptable.","controls":"Use educator-reviewed content and answer keys. Apply appropriate access and consent for learner records and distinguish completion from demonstrated learning. One qualification with manually approved dependencies. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.","crossSector":"Human Resources; Management","fn":["Extract learning objectives","Propose prerequisite links","Identify unsupported assumptions","Detect curriculum loops","Gather educator decisions","Export learning sequence"],"sc":{"opp":8,"pain":6,"feas":8,"now":8},"phases":[{"name":"MVP","scope":"One buyer segment, one recurring use case; first modules: extract learning objectives; propose prerequisite links. Manual review in the loop.","time":{"days":3,"label":"3 days"},"usd":13500},{"name":"Paid pilot","scope":"Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.","time":{"days":4,"label":"4 days"},"usd":13500},{"name":"Full product","scope":"Self-serve onboarding, billing, monitoring and the wider integration set.","time":{"days":8,"label":"8 days"},"usd":19000}],"running":[{"stage":"MVP and paid pilot","note":"about 3 customers","hosting":[30,60],"ai":[50,100],"total":[80,160]},{"stage":"Full product","note":"about 50 customers","hosting":[110,210],"ai":[350,700],"total":[460,910]}],"total":46000,"complexity":0.28,"days":15,"shot":true,"demo":true}