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Success Metrics

This section defines the key performance indicators (KPIs) and measurement framework for evaluating program success across three years of implementation. Metrics are organized by stakeholder group and tied to the program's core objectives: AI literacy, gender equity, and workforce readiness.

Measurement Philosophy

Effective measurement follows these principles:

PrincipleApplication
Measure what mattersFocus on outcomes, not just activities
Leading and laggingTrack early indicators and ultimate outcomes
Equity embeddedDisaggregate all metrics by gender and demographics
ActionableMetrics drive decision-making and improvement
TransparentResults shared with all stakeholders

Year 1 Targets

Summary Dashboard

Metric CategoryTargetMeasurement Method
Administrator Completion100% strategic trainingAttendance records
Teacher Champions50+ (15% of faculty)Certification records
Student Participants100+ in studio teamsEnrollment tracking
Gender Balance50/50 in student programsDemographics analysis
Employer Partners10+ committedSigned MOUs
Portfolio QualityAvg 7+/10 employer ratingRubric scoring

Teacher Metrics

MetricTargetData SourceFrequency
Cohort 1 certification20 teachersTraining recordsQ1
Cohort 2 certification50 teachersTraining recordsQ2
All-faculty enrollment100%Registration systemQ3
All-faculty completion80%Certification recordsQ4
Teacher confidence score7+/10 (post-training)SurveyQuarterly
Classroom AI integration70% implementingObservationQ4
Champion retention90%HR recordsQ4

Teacher Confidence Assessment:

DomainPre-Training BaselineYear 1 Target
Understanding AI capabilities4/108/10
Using AI tools personally5/108/10
Integrating AI in lessons3/107/10
Teaching AI to students2/107/10
Addressing AI ethics3/107/10

Student Metrics

MetricTargetData SourceFrequency
Studio team enrollment100+ studentsRegistrationQ3
Female participation50% of participantsDemographicsMonthly
Completion rate85% complete semesterAttendanceSemester
Portfolio completion100% of participantsPortfolio reviewSemester
Portfolio quality score7+/10 averageRubric assessmentSemester
Student engagement score8+/10SurveyQuarterly
AI confidence improvement20%+ increasePre/post surveySemester

Student Portfolio Rubric:

CriterionWeightScoring Guide
Project Quality25%Demonstrates effective AI augmentation
Technical Skill20%Appropriate use of AI tools
Process Documentation20%Shows iteration and learning
Reflection Quality20%Thoughtful analysis of growth
Presentation15%Clear communication of work

Employer/Partnership Metrics

MetricTargetData SourceFrequency
Employer partners10+MOU recordsQ4
Guest speakers delivered15+ sessionsEvent recordsQ4
Portfolio reviews completed50+ reviewsFeedback formsQ4
Employer satisfaction7+/10SurveyQ4
Micro-internship placements10+ studentsPlacement recordsQ4

Community/Parent Metrics

MetricTargetData SourceFrequency
Parent session attendance200+ parentsEvent registrationQ4
Parent satisfaction70%+ positiveSurveyQ4
Opt-out rateLess than 5%Administrative recordsQ4
Community event attendance300+ at showcaseEvent registrationQ4
Media coverage3+ positive storiesMedia trackingQ4

Year 2 Targets

Summary Dashboard

Metric CategoryTargetGrowth from Year 1
Teachers AI-Literate200+ (60% of faculty)+150
Student Participants250+ in studio teams+150
Graduate CohortFirst cohort with portfoliosNew metric
Placement Advantage15%+ improvementNew metric
Gender Parity50/50 maintainedSustained

Teacher Metrics

MetricTargetYear 1 Comparison
Total teachers certified200++130 from Y1
Active classroom integrators150++80 from Y1
Teacher-led innovations25+ documentedNew metric
Teacher satisfaction8+/10Improvement
Champion teacher leadership30+ mentoring others+10 from Y1

Student Metrics

MetricTargetYear 1 Comparison
Studio team participation250+ students+150 from Y1
Grade 9-12 penetration15% of students+10% from Y1
Girls-only team expansion4+ teams+2 from Y1
Portfolio quality score8+/10 average+1 from Y1
College application portfolios50+ submittedNew metric
Micro-internship completion30+ students+20 from Y1

Graduate Outcomes (First Cohort)

MetricTargetData Source
Graduates with portfolios50+Records review
College acceptance rateMaintain/improve district averageGuidance records
AI-related college major declarations15%+Senior survey
Employer/internship interest25+ expressionsApplication records
Graduate satisfaction8+/10Exit survey

Workforce Pipeline Metrics

MetricTargetData Source
Employer partners15+MOU records
Internship/job placements20+Placement records
Employer hiring interest10+ expressing interestSurvey
Starting salary premiumTrack baselineAlumni survey
Career pathway clarity80%+ students have planSenior survey

Year 3 Targets

Summary Dashboard

Metric CategoryTargetVision Achievement
Teachers AI-Integrated100% in practiceFull adoption
Student Participants500+ in studio teamsScale achieved
Credential RecognitionEmployer-validated certificateWorkforce pipeline
Wage PremiumDocumentable advantageEconomic impact
National RecognitionModel adoption by othersThought leadership

Teacher Metrics

MetricTargetVision Alignment
All teachers AI-integrated100%Universal adoption
Teacher-led program evolutionOngoingSustainability
External recognitionConference presentationsThought leadership
Teacher satisfaction sustained8+/10Retention

Student Metrics

MetricTargetVision Alignment
Studio team participation500+ studentsScale
Grade 9-12 penetration25%+ of studentsMainstream
Gender parity sustained50/50Equity achieved
Portfolio quality8.5+/10 averageExcellence
College advantage documentedMeasurableOutcome proof
Career readiness certificationEstablished credentialWorkforce pipeline

Workforce and Economic Impact

MetricTargetMeasurement
Employer-validated credentialEstablished and recognizedPartner agreements
Graduate wage premium15-25% documentedAlumni tracking
Job/internship placement rate80%+ for participantsPlacement records
Employer satisfaction with hires8+/10Employer survey
Return on training investmentPositive ROI documentedEconomic analysis

Model Replication and Recognition

MetricTargetEvidence
Other districts adopting3+Formal partnerships
Conference presentations5+Speaking invitations
Media coverageNational reachMedia tracking
Research publications2+Academic submissions
Policy influenceState/federal engagementMeeting records

Measurement Infrastructure

Data Collection Systems

Data TypeSystemResponsible Party
Training completionProfessional development systemHR
Student enrollmentStudent information systemRegistrar
Survey responsesSurveyMonkey/QualtricsAssessment Team
Portfolio scoringCustom rubric toolProgram Coordinator
Employment outcomesAlumni tracking databaseCareer Services

Reporting Cadence

ReportAudienceFrequencyContent
Operational DashboardImplementation teamWeeklyActivity metrics, blockers
Progress ReportAdministrationMonthlyKPI tracking, trends
Board UpdateSchool boardQuarterlySummary metrics, highlights
Community ReportParents, publicSemesterOutcomes, stories
Annual AssessmentAll stakeholdersYearlyComprehensive evaluation

Data Quality Standards

StandardRequirementVerification
Completeness95%+ data capture rateSystem audit
AccuracyUnder 2% error rateSample verification
TimelinessData current within 1 weekReport timestamps
ConsistencyStandard definitions usedData dictionary
SecurityFERPA compliantCompliance review

Equity-Focused Measurement

All metrics are disaggregated by the following demographic factors:

FactorCategoriesPurpose
GenderMale, Female, Non-binaryPrimary equity focus
Grade LevelK-5, 6-8, 9-12Age-appropriate analysis
SocioeconomicFree/reduced lunch statusAccess equity
Race/EthnicityDistrict categoriesRepresentation analysis
Prior Tech ExperienceHigh, Medium, LowBaseline adjustment

Gender Equity Dashboard

MetricTargetAlert Threshold
Application rate by gender50/50Below 40% triggers intervention
Enrollment by gender50/50Below 45% triggers intervention
Retention by genderEqual10%+ gap triggers review
Confidence scores by genderEqualSignificant gap triggers analysis
Portfolio quality by genderEqualGap triggers curriculum review
Employment outcomes by genderEqualGap triggers program review

Success Indicator Framework

Leading Indicators (Early Warning)

IndicatorWhat It PredictsResponse if Negative
Teacher enrollment rateUltimate participationIncrease recruitment
Student application numbersProgram interestEnhance marketing
Session attendanceEngagement levelImprove content
Early survey scoresSatisfaction trajectoryAdjust approach
Gender application balanceEquity outcomesTargeted outreach

Lagging Indicators (Outcome Validation)

IndicatorWhat It ConfirmsResponse if Negative
Certification completionTraining effectivenessRedesign training
Portfolio quality scoresLearning outcomesCurriculum revision
Employment/college outcomesProgram impactModel restructuring
Longitudinal wage dataEconomic valueProgram justification
Replication requestsModel validationDocumentation

Three-Year Success Vision

By the end of Year 3, El Segundo USD will have achieved:

DomainSuccess State
AI Literacy100% of teachers AI-integrated in practice; AI literacy embedded in curriculum K-12
Gender EquitySustained 50/50 gender participation with equal outcomes
Workforce ReadinessEmployer-validated credential with documented wage premium
Model LeadershipNational recognition; model adopted by 3+ other districts
SustainabilitySelf-sustaining program with diversified funding

Ultimate Success Metrics

MetricYear 3 TargetEvidence of Achievement
All teachers AI-integrated100%Observation and practice evidence
500+ students in studio teamsAchievedEnrollment records
Employer-validated credentialEstablishedPartner recognition
Documentable wage premium15-25%Alumni salary data
Model adopted by others3+ districtsFormal partnerships
National recognitionAchievedMedia, conferences, policy engagement

Continuous Improvement Loop

Learning Capture Questions

FrequencyQuestionsDocumentation
WeeklyWhat worked? What didn't? What surprised us?Team notes
MonthlyAre teachers supported? Are girls engaging equally?Progress reports
QuarterlyIs gender parity on track? What's our biggest blocker?Quarterly review
AnnuallyDid we hit milestones? What changes needed?Annual assessment

Improvement Process

Measure → Analyze → Learn → Adjust → Implement → Measure
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  1. Measure - Collect data per defined metrics
  2. Analyze - Compare to targets, identify patterns
  3. Learn - Understand root causes of gaps
  4. Adjust - Modify approach based on learnings
  5. Implement - Execute improvements
  6. Measure - Continue cycle

This continuous improvement approach ensures the program evolves based on evidence rather than assumptions.