CMO Configuration Builder

Explore the basics of Context-Mechanism-Outcome configurations by building your own. Drag or select elements from the palettes to create causal relationships.

Context Factors

Organizational capacity and resources
Staff training and expertise
Policy and regulatory environment
Funding availability and sustainability
Target population characteristics
Geographic and cultural setting
Historical context and past experiences
Stakeholder relationships and trust
Infrastructure and technology
Time constraints and scheduling
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Mechanisms

Trust building between stakeholders
Increased self-efficacy and confidence
Enhanced motivation and engagement
Peer support and social connection
Knowledge acquisition and skill development
Empowerment and agency
Reduced stigma and shame
Behavioral change and activation
Sense of belonging and identity
Therapeutic alliance and rapport
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Outcomes

Improved health and wellbeing
Better service engagement and retention
Enhanced quality of life
Reduced healthcare utilization
Increased social connections
Better clinical outcomes
Improved service delivery efficiency
Enhanced professional satisfaction
Sustained behavior change
Cost savings and value
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Configuration Workspace

Context

Drag context factors here or use "Add Selected" buttons

Mechanism

Drag mechanisms here or use "Add Selected" buttons

Outcome

Drag outcomes here or use "Add Selected" buttons

Basic Hypothesis Components

Build your CMO configuration above to generate a testable hypothesis...
Note: A sound realist hypothesis must be specific, testable, and falsifiable. While this tool offers a useful starting point for building an understanding of the process of hypothesis development, a good hypothesis would be more detailed. In particular, it would propose a clear, causal link that explains how and why an intervention is expected to work for a specific group in a particular context.

For example:
Hypothesis: We hypothesize that for nurses in an understaffed emergency department (C), a mentoring-based training program (C) will trigger a mechanism of peer-to-peer knowledge sharing (M) and a strengthened sense of team identity (M).
BECAUSE: These mechanisms will lead to the outcome of more efficient patient handoffs and a 20% increase in positive patient feedback (O).

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