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Outcomes Framework

A comprehensive framework for measuring impact and driving continuous improvement in AI-era capability building

Framework Overview

This framework outlines how Big Lever Institute assesses the impact of its programs and monitors participant, partner, and community outcomes. It is designed for both internal improvement and public transparency, providing a rigorous, data-driven narrative for our unique AI-era capability-building programs.

Our approach combines quantitative metrics with qualitative insights to create a comprehensive understanding of program effectiveness and participant success across multiple dimensions and timeframes.

Theory of Change

The Challenge

A once-in-a-millennium technology shift has outpaced traditional training, creating dramatic gaps in skills, evidence, and access.

Our Response

Studio-style, hands-on cohorts that let more people build capability, produce visible portfolios, and share open methods.

The Impact

Expanding the pipeline of AI-ready founders and operators equipped for the intelligent systems era.

Outcome Tiers and Timeline

1

Immediate Outcomes

0-30 days post-program

Program completion and portfolio creation.

2

Short-term Outcomes

30-90 days post-program

Skills put to use and first traction in work or ventures.

3

Intermediate Outcomes

3-12 months

New employment, venture development, and skill application in real projects.

4

Long-term Impact

12+ months

Career advancement, venture sustainability, and contributions to the broader ecosystem.

Core Metrics

Participation & Engagement

  • Applications received, acceptance, and completion rates
  • Session attendance, track selection (founder, operator, dual)
  • Engagement quality: portfolio submissions, artifacts shipped, peer/mentor reviews
  • Demographic and geographic diversity of participants

Learning & Skill Development

  • Skill assessments: before, during, and after the program
  • Demonstrated proficiency: AI tools, project management, prompt engineering
  • Portfolio artifacts: quality, documentation, and creativity
  • Real-world use: application to work, contributions to open projects, or teaching others

Career & Venture Outcomes

Operator Track: Interviews and job offers within 3-6 months, job relevance to AI, and retention.

Founder Track: New concepts or prototypes built, users/customers acquired, any revenue, grant, or investment, venture continuity.

Both Tracks: Promotions, expanded responsibilities, salary increases, and expanded professional networks.

Program Effectiveness

  • Participant satisfaction scores (Net Promoter Score, or NPS)
  • Quality of instruction, mentor value, and platform usability
  • Alumni engagement, ongoing community, and peer-to-peer support

Organizational & Sector Impact

  • Open resources created: prompts, SOPs, playbooks, and downloads
  • Partner organization satisfaction and renewal rate
  • External adoption of resources, references in academic or industry work

Data Collection Methods

Quantitative

Automated tracking (attendance, portfolio submissions), surveys, and admin data.

Qualitative

Interviews, focus groups, case studies, open feedback, and external partner input.

Validation

Employer and partner surveys, independent evaluation when possible.

Success Benchmarks

85-90%

Cohort Completion

Target completion rate for all program participants

90%

Portfolio Submission

Participants completing final portfolio requirements

60-75%

Employment/Venture Traction

Success rate within 6 months post-program

50+

NPS Baseline

Participant satisfaction score target

Open Resources Published

2–3 per cohort targeting broader community impact

Resource Adoption

10+ external organizations per year utilizing our published resources

Benchmarks are reviewed and updated annually based on real results.

Reporting & Transparency

01

Monthly

Participation and engagement metrics tracking

02

Quarterly

Cohort outcomes summary and analysis

03

Annually

Full impact report and public brief publication

Select metrics are published via our website and impact dashboards, ensuring public accountability and transparency in our mission.

Partners receive customized reports aligned to their own KPIs, fostering collaborative improvement and shared success metrics.

Continuous Improvement

Measure Outcomes

Comprehensive data collection across all program dimensions

Drive Improvement

Curriculum and operations enhancement in every cohort

Gather Feedback

Regular staff, stakeholder, alumni and partner input

Refine Framework

Ongoing evaluation and framework optimization

Outcomes are not only measured, but also drive curriculum and operations improvement in every cohort. The framework is refined through regular staff and stakeholder review, alumni and partner feedback, and outside evaluation.

Privacy & Ethics

Explicit Consent

All outcome data is collected with clear, informed participant consent

Data Protection

Information is anonymized where required and stored with enterprise-grade security

Purpose Limitation

Data used solely for educational, improvement, transparency, and research purposes

Participant Control

Individuals maintain the right to control the use of their personal data

Building the Future

This outcomes framework ensures that Big Lever Institute's impact—at every level—can be measured and improved, while building a growing, equitable pipeline for the age of intelligent systems

Measurable

Rigorous data collection and analysis across all program dimensions

Reportable

Transparent communication of outcomes to all stakeholders

Improvable

Continuous enhancement driven by evidence and feedback

Equitable

All programming and resources are published openly and are available for free

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