{"slug":"educational-vr-platform-for-children","name":"Mira Learning Worlds","category":"Education","customer":"Homeschooling parents and teachers at small private schools","problem":"One-size-fits-all lessons lose the child before anything sticks.","value":"For homeschooling parents and teachers at small private schools, turn subject goals, a child's questions and session progress data into adaptive 3D learning scenes and a mastery summary. Address the recurring problem: one-size-fits-all lessons lose the child before anything sticks. The value hypothesis is a more complete, reviewable deliverable with less repeated preparation; the pilot must establish whether that benefit is real.","format":"Role-based learning platform and course authoring console","screens":"Key screens: goal dashboard, session world, progress console. The parent dashboard is a simple grid of subjects, weekly goals and current difficulty. The session world is the live scene view with a side panel of topic choices, touchable objects and puzzles. The progress console shows what was mastered, what was skipped, and a two-sentence voice summary per session. Let users switch between learner view and observer view, compare past sessions side by side, and mark scenes as reviewed, paused or approved. In this product, the first view is goal dashboard, followed by session world and progress console.","functionality":"1. Generate a themed 3D scene for the day's topic in seconds. 2. Adapt difficulty and examples from pauses and choices. 3. Answer why questions with age-appropriate explanations. 4. Introduce story characters to re-engage a distracted learner. 5. Log mastery and avoidance per concept. 6. Deliver a two-sentence voice note to the parent after each session.","workflow":"Parent sets subjects and goals, child starts a session, Mira asks what the child is curious about, the AI generates a themed world with interactive objects, the child explores and solves puzzles, the AI logs mastery signals and drafts a summary, the guardian reviews the summary and approves the next session, and finish with approved session notes. Start with subject goals and progress data and finish with adaptive 3D learning scenes and a mastery summary.","ai":"A language model interprets the child's questions, plans the scene structure and adapts difficulty, with voice synthesis giving the tutor a natural presence, and image or 3D generation building themed environments. A curated knowledge base limits what the tutor draws on. A parent or teacher reviews each session log and approves the next difficulty level before it is offered.","inputs":"Subject lists, learning goals, age and language preferences, and session progress data","deliverables":"Adaptive 3D learning scenes, session mastery summary and a two-sentence voice note per session","admin":"Parent and teacher accounts, child profiles with age settings, session versions, difficulty approval states, guardian review log, content filter audit trail and a record of scenes generated per account.","mvp":"One buyer: homeschooling parents. One use case: fractions. First two modules: a pizza kitchen fraction scene and a measurement scene, both generated for tablet screens without a headset, with every AI summary manually checked before release to the ten test families.","expansion":"After the paid pilot, automate scene generation for full topic lists, automate difficulty adjustments from logged pauses, automate voice note drafting with sample checks, and open a teacher dashboard for class-level insight.","usp":"The tutor builds the entire learning world around one child's question in seconds, which no static library of lesson apps can match.","defensibility":"Every session logs which examples, characters and difficulty steps hold attention, so the adaptation rules improve with each child and the scene library compounds; a competitor starting fresh has no usage history to learn from.","alternatives":"Static lesson apps, educational videos and worksheet packs, which cannot sense when a child has disengaged. This product adapts the scene mid-session and reports back to the parent in plain language.","revenue":"Test at 29 USD per month per child for families, and an annual school licence at 15 USD per child per month with a teacher dashboard, as a hypothesis to validate in the pilot.","costs":"Inference and 3D generation compute per session, voice synthesis, content moderation review, tablet and headset device testing, and ongoing curation of the knowledge base.","integrations":"Start simple: roster import for schools via CSV, calendar reminders, and export of mastery summaries as PDF. Later, Google Classroom and SIS gradebook connections.","dependencies":"A language model with strict content filtering, real-time 3D generation, voice synthesis in target languages, a curated knowledge base, and a tablet runtime before any headset build.","pilot":"Ten families use the fractions module for four weeks with a baseline of current lesson time on task and a pre-test of fraction understanding. The decision: if session time on task and pre-test to post-test gains beat baseline by the agreed margin, convert to the 29 USD monthly plan and open a school pilot.","plan30":"Week 1: build the fractions module with two tablet scenes and the parent dashboard. Week 2: recruit ten homeschooling families and set baselines for attention and concept mastery. Week 3: run daily sessions, collect pause and mastery logs, and manually review every voice note. Week 4: analyse usage, fix the weakest scenes, and present the pilot findings with a school licence proposal.","metrics":"Average minutes of focused engagement per session, and improvement in topic assessment scores between pre-test and post-test.","channels":"Homeschooling communities and forums, VR family groups, private school networks and education conferences, and teacher recommendation groups.","leadMagnet":"A free fraction pizza kitchen scene families can run on a tablet in one ten-minute session, with the AI-generated summary included.","message":"A patient tutor who builds a new world around whatever your child asks, and tells you in two sentences whether it worked.","retention":"Ongoing monthly subscription with new scenes added to each subject, difficulty levels approved by parents each term, and school licences renewed annually with a term-by-term teacher dashboard.","controls":"Tight content filter and a narrow curated knowledge base, no unsafe content, no medical or diagnostic claims, age-appropriate language limits, parent approval before each new difficulty tier, no headset features for children under an agreed minimum age, no unreviewed open-ended web answers, and a full audit trail of every scene generated and every summary sent.","crossSector":"Creatives; Product Development","fn":["Generate a themed 3D scene for the day's topic in seconds","Adapt difficulty and examples from pauses and choices","Answer why questions with age-appropriate explanations","Introduce story characters to re-engage a distracted learner","Log mastery and avoidance per concept","Deliver a two-sentence voice note to the parent after each session"],"sc":{"opp":7,"pain":7,"feas":6,"now":8},"phases":[{"name":"MVP","scope":"One buyer segment, one recurring use case; first modules: a pizza kitchen fraction scene and a measurement scene, both generated for tablet screens without a headset, with every AI summary manually checked before release to the ten test families. Manual review in the loop.","time":{"days":5,"label":"5 days"},"usd":10000},{"name":"Paid pilot","scope":"Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.","time":{"days":6,"label":"6 days"},"usd":12500},{"name":"Full product","scope":"Self-serve onboarding, billing, monitoring and the wider integration set.","time":{"days":12,"label":"2 weeks"},"usd":17000}],"running":[{"stage":"MVP and paid pilot","note":"about 3 customers","hosting":[30,60],"ai":[50,110],"total":[80,170]},{"stage":"Full product","note":"about 50 customers","hosting":[110,210],"ai":[420,840],"total":[530,1050]}],"total":39500,"complexity":0.69,"days":23,"shot":true,"demo":true}