Impact

What we build, and how we measure progress

People United Foundation develops leadership and entrepreneurship capacity, with responsible AI literacy integrated into program delivery. We measure what we can credibly influence and report in a way that supports learning, transparency, and continuous improvement.

Credible measurement (no inflated claims)Outcome discipline with clear attribution boundariesFunder-ready reporting posture

Our impact framework

We focus on outputs and outcomes that align with our mission and that can be observed without intrusive data practices. Our approach is designed to work in community settings where over-measurement can reduce trust.

Capacity built

Leadership readiness, entrepreneurship fundamentals, and practical AI literacy that supports decision-making.

Action applied

Projects, plans, and ventures that translate learning into real-world steps and community contribution.

Trust protected

Clear data boundaries, no participant surveillance, and transparent reporting practices.

Learning improved

Cohort retrospectives and facilitator insights used to improve curriculum, delivery, and support.

Core indicators we track

Participation
  • Enrollment, attendance, completion
  • Mentor engagement and session delivery
  • Participant satisfaction (lightweight, opt-in)
Learning (credible verification)
  • Pre/post self-assessment (structured prompts)
  • Facilitator observation notes (de-identified where possible)
  • Artifact-based evidence (plans, project briefs, reflections)
Applied action
  • Projects initiated and milestones reached
  • Early-stage venture steps (MVP, pitch, pilot)
  • Community actions completed (events, partnerships, service)
Continuous improvement
  • What changed based on cohort learning
  • Curriculum refinements and delivery improvements
  • Risk, privacy, and safeguards review checkpoints

We avoid overstating outcomes we cannot responsibly attribute (for example, job placement figures without direct tracking). Our goal is transparent measurement that earns funder trust.

Milestones (examples)

Cohort delivery

Repeatable cohorts with clear objectives, facilitation standards, and participant support.

AI literacy integration

Non-technical modules focused on verification, ethics, and responsible tool use.

Projects launched

Participant-led projects and ventures that translate learning into tangible steps.

Reporting posture

How we report to funders

We aim for a simple, consistent cadence that respects participant privacy and delivers decision-useful evidence. For supported cohorts, we can provide a brief reporting pack with participation metrics, learning evidence, and a short narrative on improvements.

What you can expect
  • Participation summary and cohort completion
  • Learning and applied action indicators
  • Risks, safeguards, and lessons learned
What we do not do
  • Participant surveillance or behavioral scoring
  • Hidden analytics or undisclosed tracking
  • Inflated impact claims without support