 The logic model proposed here provides a practical strategy for developing, monitoring and evaluating interventions to strengthen the use of data in decision-making. It draws on the collective strengths and similarities of previous work and adds to those previous works by making specific recommendations about interventions and activities that are most proximate to affect the use of data in decision-making. This model provides an organizing framework for how interventions and activities work to strengthen the systematic demand, synthesis, review and use of data. Real-world examples from the literature support the feasibility of applying these activities. This article was authored by Tara Nutley and Heidi W. Reynolds.