We’ve noticed you’re visiting from NZ. Click here to visit our NZS site.
We’ve noticed you’re visiting from NZ. Click here to visit our NZS site.
A national plan, a policy, a portfolio of programs, or a new function – after you’ve agreed the goals and actions, you need to be able to measure them. We build you the evaluation framework that gives you those measurements. A theory of change and a program logic set out how your initiative is meant to produce its outcomes. Key evaluation questions, indicators and data collection tools then test whether it is doing so.
Your plan, policy, portfolio or new function may have agreed, but outcomes that are still years away. In the meantime, you need a way to show senior leadership whether it is moving towards those outcomes. We build a framework your staff can use to measure that progress and report on it.
We start with what your initiative is meant to achieve, then build the theory of change: how the initiative contributes to change over time. From that theory comes the program logic – a diagram connecting the initiative to its short, medium and long-term impacts. Then we set the key evaluation questions for the framework, and the indicators, data collection tools and processes that will answer them.
Spend the time on the theory of change. It is the part of a framework we give the most time to, because the key evaluation questions follow from it.
Work through the logic with the people who run the initiative. For Cancer Australia's 10-year Australian Cancer Plan, which has 2-year and 5-year goals, we began by reviewing the existing frameworks, strategies and program materials. We then ran workshops with Cancer Australia to support priority setting and develop the logic model, theory of change, key evaluation questions and practical data collection tools.
Describe the different groups you serve, each with their own path. With a residential service for people with physical disabilities we built four personae: typical residents with different starting points and needs. The logic model then showed several paths rather than one.
Model the evaluation system around the initiative. We map four parts of the system: the people involved and what they care about, the tensions between them, outside influences, and the assumptions the logic rests on. The logic then reflects the people and conditions around the initiative, not only one path from activity to outcome.
Design indicators for the portfolio and for each program in it. For the NSW Department of Education, we developed the Evaluation Strategy for the Early Years Commitment, a $15.9 billion investment over 10 years made up of many programs. The Strategy's indicators and evaluation questions measure what the whole investment achieves and what each program in it achieves. In the Strategy, we also linked each program's outcomes to the Commitment's overall objectives.
We build a framework before anyone evaluates your initiative, and your own staff run it after we hand it over. We run most of the work below with your staff, and the work ends with a handover, not a report of findings.
What we deliver:
We go through your initiative's objectives and actions with you, and find out how much time your staff have to collect data and report on it. If your initiative's objectives are unclear, or no data shows how things stood before it began, we develop a theory of change or identify indicators before setting the questions.
We read the existing frameworks, strategies, policies and program materials, then design the workshops for your staff: who takes part, in what order, and what each session has to produce. If your staff have limited availability, we fit the workshops around them.
We run the workshops, develop the logic and the key evaluation questions with your staff, and build the indicators, data matrix and collection tools. In the workshops we also take your staff through the principles and processes of monitoring and evaluation, so they can run the framework without us. If the framework needs a survey tool, we test how people understand each question before the survey goes out.
We take the draft framework through sense-making sessions with you, and with your stakeholders if the initiative involves any, and revise it from what you and they tell us. We also check that each measure is practical and that your team can get the data each question needs.
You receive the framework, the tools and the update guidance, everything your team needs to apply the framework. If what you need next is the evaluation itself, learn more about our mixed-method evaluations here.
We build several paths into it. A linear logic model shows one path from activities to outcomes, but real programs serve people with different starting points. We describe each main group you serve as a persona with their own path to the outcomes. As your team measures the outcomes, the results show whether each path is working as intended or whether the activities need to change.
We set out the assumptions in workshops with your staff, who know from their work whether each one holds in practice. Assumptions are the things everyone hopes are true but may not have been tested. A systems checklist covers the questions we ask about the system around the initiative, and a persona canvas describes each group it serves. Both downloads are available below.
We build it with them. We develop the logic, the questions and the tools in workshops with your staff, because people are less likely to use a model they did not help create. For one client, we developed the theory of change and the logic model with their team as part of a learning plan for their program.
Yes, one framework can cover them. The indicators for the Early Years Commitment measure outcomes consistently across provider types, workforce groups and regions. If you need to know what each provider contributed to the outcomes, we trace each one's contribution through the theory of change.
Not if we build it around the time your team has. A framework adds to reporting when it includes too many measures, often of activity rather than outcomes; we would rather measure fewer things and measure them well. For the Department of Health, Disability and Ageing, we used a data matrix to choose practical measures for a new Medicare Benefits Schedule review function. Those measures kept extra reporting to a minimum.