home / skills / a5c-ai / babysitter / program-evaluation
This skill helps design and implement rigorous program evaluations using logic models and mixed methods to improve interventions.
npx playbooks add skill a5c-ai/babysitter --skill program-evaluationReview the files below or copy the command above to add this skill to your agents.
---
name: program-evaluation
description: Design and implement formative, summative, and developmental evaluations using logic models and mixed methods
allowed-tools:
- Read
- Write
- Edit
- Grep
- Glob
- Bash
---
# Program Evaluation Skill
Design and implement rigorous evaluations of social programs and policy interventions using established frameworks.
## Overview
The Program Evaluation skill enables design and implementation of formative, summative, and developmental evaluations using logic models, theory of change frameworks, and mixed methods approaches for assessing program effectiveness and informing improvement.
## Capabilities
### Evaluation Design
- Formative evaluation
- Summative evaluation
- Developmental evaluation
- Impact evaluation
- Process evaluation
### Logic Models
- Theory of change development
- Input-output mapping
- Outcome identification
- Assumption articulation
- Indicator specification
### Data Collection
- Multiple data sources
- Quantitative measures
- Qualitative methods
- Mixed approaches
- Participatory methods
### Analysis and Reporting
- Outcome measurement
- Attribution assessment
- Cost-effectiveness analysis
- Stakeholder reporting
- Recommendation development
### Utilization Focus
- Stakeholder engagement
- Use identification
- Findings translation
- Recommendation implementation
- Learning facilitation
## Usage Guidelines
### When to Use
- Assessing program effectiveness
- Improving interventions
- Supporting decision-making
- Demonstrating accountability
- Building evidence base
### Best Practices
- Engage stakeholders early
- Clarify evaluation questions
- Use multiple methods
- Consider context
- Focus on utilization
### Integration Points
- Causal Inference Methods skill
- Mixed Methods Integration skill
- Policy Communication skill
- Quantitative Methods skill
## References
- Program Evaluation process
- Policy Impact Assessment process
- Cost-Benefit Analysis process
- Program Evaluation Specialist agent
This skill designs and implements formative, summative, and developmental evaluations using logic models, theory of change, and mixed methods. It helps teams clarify outcomes, specify indicators, and generate actionable findings for program improvement and accountability. The focus is on practical, stakeholder-centered evaluation that supports decision-making and learning.
The skill guides creation of logic models and theories of change, maps inputs to outputs and outcomes, and articulates assumptions and indicators. It supports mixed-methods data collection (quantitative, qualitative, participatory) and combines process and impact analyses to assess effectiveness and attribution. Outputs include analysis, cost-effectiveness assessments, stakeholder reports, and implementation-focused recommendations.
What types of evaluation does this skill cover?
It covers formative, summative, developmental, process, and impact evaluations, including logic model development and mixed-methods designs.
How does the skill handle attribution and causality?
It integrates causal inference approaches where appropriate, combines quantitative and qualitative evidence, and documents assumptions to support attribution judgments.