Insights
For local government officers navigating complex economic challenges, logic models offer a practical tool to help design, communicate and evaluate interventions. To date, we’ve run training to introduce logic models to over 500 people from across local, central, and devolved governments. We’ve now condensed much of our training content into an hour-long webinar. This joins our guide to Using logic models as additional support for policymakers thinking through projects and programmes.
Below are three key lessons from the session:
Start with a clear and focused need
A strong logic model begins with a well-defined problem or opportunity. Rather than trying to address every issue facing a place, narrow the focus. This helps avoid vague objectives and ensures interventions are targeted and realistic.
Equally important is understanding the wider policy context; what funding, strategies or existing programmes are already in place. By anchoring projects to a specific need and context, councils can design interventions that are more coherent and aligned with local priorities.
Focus on outcomes, not just outputs
A common pitfall is to focus on outputs (what is delivered) rather than outcomes (the change you want to see). For example, the number of training sessions delivered (output) matters far less than whether participants secure sustained employment (outcome).
Be clear about outcomes. What will success look like, and how will you know? Sense check the logic of a project against the outcomes—will the activities and outputs realistically lead to the outcomes? Similar to narrowing the defined need above, check that you’re not trying to achieve too many outcomes.
Of course, outputs still matter. Often funders emphasise outputs as they seek assurance that money is being (well) spent, so outputs can’t be ignored, but the focus should be on the change you’re trying to achieve.
For local authorities, designing interventions with clear, measurable outcomes ensures better projects to support residents and funders.
Use logic models as a collaborative process
Logic models are most effective when developed collaboratively. Bringing together different teams and partners helps challenge assumptions, draw from a broader set of evidence, and avoid “groupthink.”
The process also improves communication. A clear logic model can help explain a project to elected members, funders and delivery partners—showing how inputs and activities connect logically to the problems they need to address.
More resources for logic models
Logic models can significantly improve how local government designs and delivers policy—but only when used thoughtfully and consistently. To explore practical examples, common mistakes and detailed guidance, watch the webinar on our YouTube channel and check out our guide Using logic models.
