Last updated on Aug 7, 2024

How do you avoid common pitfalls when developing and using logic models?

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Logic models are useful tools for planning, implementing, and evaluating programs. They help clarify your goals, activities, outcomes, and assumptions, and show how they are connected. However, developing and using logic models for evaluation can also pose some challenges. Keep reading to learn how to avoid some of the common mistakes that can affect the quality and usefulness of your logic models.

Key takeaways from this article
  • Tailor to your audience:
    Define your purpose and audience before crafting your logic model. This ensures that the model is relevant, clear, and useful to all stakeholders involved.### *Engage key players:Involve stakeholders and experts in the development process. Their insights enhance the model's accuracy and foster broader buy-in and utilization.
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