68/100
Safe Stable
Program Evaluation
5+ years-4 in 12mo
Program evaluation answers the hard question: is this program actually working? You design studies, collect data, and figure out if the money and effort are producing results. Funders want proof. You provide it.
Primary Driver
AI Automation
Decay Pattern
Gradual
12mo Projection
64/100
-4 pts
Safety Trajectory
Gradual decay model68
Now
66
6mo
64
1yr
60
2yr
57
3yr
The AI angle
AI can analyze survey data, identify trends, and generate visualizations faster than any human. It can even draft preliminary findings. But it can't design an evaluation framework, decide what questions matter, or present findings to a skeptical board in a way that drives action.
What to do about it
• Learn mixed-methods evaluation design. Quantitative alone doesn't tell the full story.
• Build skills in data visualization and storytelling with data
• Get comfortable with AI-powered analysis tools to speed up your workflow
• Develop facilitation skills for presenting tough findings to stakeholders
People also ask
Will AI replace program evaluators?
It automates the data crunching. Designing evaluations, asking the right questions, and driving change with findings are still human skills.
Is program evaluation a growing field?
Yes. Funders and governments increasingly demand evidence of impact.
What qualifications do I need?
A background in research methods, statistics, and the ability to communicate findings to non-technical audiences.
Where does Program Evaluation sit in your career?
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