{"success":true,"filters":{"role":"engineering","firstWedge":null,"status":null,"riskLevel":null,"search":null},"summary":{"reports":1,"firstWedgeRole":null,"ahead":0,"onTrack":1,"needsAttention":0,"highRisk":0,"averageScore":72,"benchmarkGaps":5,"exportFormats":5},"reports":[{"id":"department-benchmark-report-engineering","role":"engineering","roleLabel":"Engineering","productLine":"AIducation for Engineering","firstWedge":false,"academyPath":"/ai-training/engineering","reportName":"Engineering Department AI Benchmark Report","status":"on_track","riskLevel":"medium","readinessScore":72,"targetScore":76,"scoreGap":-4,"baselineCoverage":76,"baselineTarget":85,"exitCoverage":69,"exitTarget":72,"peerBenchmark":{"peerAverageScore":72,"peerAverageCoverage":81,"percentile":52,"comparison":"Engineering is above the cross-role readiness average."},"dimensionBreakdown":[{"id":"baseline_coverage","name":"Baseline coverage","score":69,"target":76,"gap":-7,"evidence":"The learner verifies AI output before relying on it."},{"id":"exit_lift","name":"Exit lift","score":71,"target":74,"gap":-3,"evidence":"The learner references the relevant policy, boundary, or escalation rule."},{"id":"verification","name":"Verification discipline","score":73,"target":72,"gap":1,"evidence":"The learner names concrete checks they performed or would perform."},{"id":"policy_safety","name":"Policy safety","score":75,"target":76,"gap":-1,"evidence":"Checks whether the output is clear, concise, audience-aware, and ready to use at work."},{"id":"workflow_evidence","name":"Workflow evidence","score":77,"target":74,"gap":3,"evidence":"Engineering readiness credential"},{"id":"manager_actionability","name":"Manager actionability","score":79,"target":72,"gap":7,"evidence":"Engineering benchmark evidence"}],"benchmarkGaps":["Close 4 readiness score points to target","Raise baseline coverage by 9 points","Raise exit coverage by 3 points","Coding-agent output lands without path-level verification","Review feedback misses behavioral risk in generated code"],"managerActions":["Assign the Engineering baseline assessment before comparing readiness.","Assign targeted daily missions and review the failed skill atom evidence.","Pause live AI workflow expansion and require manager review before next credential step.","Mark credential eligible, export evidence, and keep weekly mission monitoring active.","Reach 85% baseline coverage before comparing Engineering teams","Coach learners below the 76 readiness target on failed skill atoms"],"roiSignals":["Engineering time saved on AI-assisted code review","Reduction in rework from unverifiable AI output","Higher completion rate for approved AI workflow playbooks","Faster manager coaching cycles from benchmarked evidence"],"exportFormats":[{"format":"dashboard","destination":"Org readiness dashboard","payload":"Engineering benchmark status, score gap, coverage, dimension gaps, and next actions."},{"format":"csv","destination":"Enterprise reports API","payload":"Department rows for spreadsheet review and enablement operations."},{"format":"pdf","destination":"Executive review","payload":"Benchmark summary, peer comparison, risks, ROI signals, and expansion recommendation."},{"format":"lms","destination":"Learning management system","payload":"Coverage, completion, benchmark status, and recommended assignments."},{"format":"warehouse","destination":"Data warehouse","payload":"Role benchmark fact table with score gap, coverage gap, risk, and evidence counts."}],"evidenceLinks":[{"label":"Readiness benchmark","href":"/readiness-benchmarks"},{"label":"Org readiness dashboard","href":"/org-readiness-dashboard"},{"label":"Manager coaching report","href":"/manager-coaching-reports"},{"label":"Weekly skill report","href":"/weekly-skill-reports"},{"label":"Evidence export center","href":"/evidence-export-center"}]}]}