{"success":true,"filters":{"role":"product","firstWedge":null,"status":null,"type":null,"search":null},"summary":{"challenges":1,"firstWedgeRole":null,"estimatedMinutes":60,"deliverables":5,"evidenceItems":7,"rubricDimensions":4,"statusCounts":{"ready":0,"pilot":1,"needs_review":0}},"challenges":[{"id":"capstone-challenge-product","role":"product","roleLabel":"Product","productLine":"AIducation for Product Managers","firstWedge":false,"academyPath":"/ai-training/product","challengeName":"Product AI Capstone Challenge","status":"pilot","type":"real_world_case","estimatedMinutes":60,"scenarioBrief":"Product teams can use AI across prd review and requirement tightening and research synthesis, but leaders need proof that people can apply the tools with judgment, verification, and role-specific quality standards.","learnerDeliverables":["Product prompt and source context","PRD review and requirement tightening AI-assisted draft or analysis","Verification checklist with evidence notes","Final work artifact ready for manager review","Reflection explaining what AI changed and what the learner verified"],"requiredEvidence":["Product readiness assessment score and skill gap map.","Product baseline readiness score; Product workflow practice evidence; Product exit assessment benchmark; Product certificate evidence trail","Product bad-output diagnosis, hallucination spotting, prompt repair, privacy minimization, policy escalation, and verification repair evidence.","Product prompt, iteration, verification checklist, and final workflow output.","ChatGPT, Claude, Perplexity mission completions with risk checks.","Manager-readable artifact, rubric result, and next coaching action.","Product AI Workflow Portfolio"],"rubricDimensions":[{"name":"Work outcome quality","weight":30,"passSignal":"Product artifact is useful, specific, and appropriate for the role workflow."},{"name":"Verification and evidence","weight":25,"passSignal":"Claims, calculations, sources, policy, and assumptions are checked before use."},{"name":"AI safety and policy","weight":25,"passSignal":"Sensitive data, tool approval, authority, escalation, and misuse risks are handled."},{"name":"Manager-ready explanation","weight":20,"passSignal":"Learner can explain what AI did, what changed, and why the final decision is safe."}],"sandboxModes":["AI coworker mode","Scenario simulation","Prompt-writing lab","Workflow-building lab"],"portfolioArtifacts":["Product baseline readiness score","Product workflow practice evidence","Product exit assessment benchmark","Product certificate evidence trail","Set the work context","Add verification guardrails"],"credentialPath":"/learn/portfolio","managerReviewQuestions":["Can the learner complete PRD review and requirement tightening with AI and explain what they verified?","Does the final artifact avoid unsupported claims, sensitive data leaks, and skipped approvals?","Which product skill atom should the learner practice next?"],"exportTargets":["Workflow portfolio","Manager coaching report","Credential evidence packet","LMS completion record","Audit evidence export"]}]}