As the number of interdependencies and complexities among human systems increases, the need for learning and adaptation also rises. In the latest in our strategic design and complexity series, we look at the role of data, feedback and learning by introducting design-driven evaluation.
Design-driven evaluation is a means to support intentional change, accountability and impact. As things become more complex and interdependent, the challenge of making real, lasting change has never been greater or tricky to do. Whether you’re working in health, education, social innovation, or the arts, the systems you operate in are dynamic, unpredictable, and deeply interconnected. So how do we guide change in these environments? And how do we know if we’re making a difference?
One promising answer lies in combining two powerful ways of thinking: design and evaluation.
Why Design Matters in Complex Systems
Most of the systems we interact with daily—our workplaces, communities, institutions—are doing exactly what they’re designed to do. That means if we want different results, we need to change the design. But design isn’t just about creating products or services; it’s about intentionally shaping experiences, processes, and outcomes based on purpose, people, and context.
When complexity emerges—such as during a global pandemic—linear plans and traditional tools often fall short. They seek to place rigid constraints on systems that are resistant to such thinking and ways of working. We need new ways to learn, adapt, and create. That’s where design comes in.
Enter Design-Driven Evaluation (DDE)
Design-Driven Evaluation (DDE) is an approach that combines the creativity and systems-awareness of design with the rigour and learning focus of evaluation. Rather than treating evaluation as an afterthought, DDE builds it into the very fabric of how programs are created, implemented, and adapted over time. This embedded relationship, supporting strategic design activity within organizations, extends and deepens what is often referred to as developmental evaluation.
It also integrates design thinking into the evaluation process. Think of DDE as designing your evaluation the same way you’d design your service—starting with users, learning from feedback, testing ideas, and adjusting as you go.
In a DDE model:
- Evaluation isn’t separate from the program—it’s embedded in it.
- Users are central—not just beneficiaries but co-creators.
- Feedback is continuous—not just collected at the end.
- Learning is a design feature—not a byproduct.
What It Looks Like in Practice
Let’s ground this with a real example (for more details, check out the 2021 article on the case study in New Directions in Evaluation) A Canadian charitable foundation working to promote inclusion through the arts wanted to understand the impact of its grant program. Artists across the country were funded to create works that challenged stigma and celebrated diversity. But how do you evaluate something so varied, creative, and community-driven? At Cense, we were asked to support an evaluation and what we did was work with the client to create something that was feasible, sustainable and effective. Just as important, it was designed for the community being served: artists.
Together, we used a DDE approach. We:
Identified different types of users of the evaluation and its insights (e.g., artists, audiences, skeptics, staff at the foundation).
Built a set of evaluation principles (e.g., low-cost, flexible, engaging, inclusive).
Co-designed prototypes for how evaluation could be embedded in artistic events (like post-film interactive boards or feedback walls).
Tested these ideas in real-time with a documentary screening and interactive discussion.
The result wasn’t just an evaluation tool—it was a learning process. The foundation gained new insights, methods, and capabilities to adapt its programming and strategy, while the projects had a means to evaluate them.
Why This Matters for Systems Change and Strategy
DDE is particularly powerful in complex environments and contexts where:
- Programs are evolving.
- Contexts are shifting.
- Outcomes are uncertain.
- Stakeholders are diverse and distributed.
In such settings, evaluation shouldn’t just measure impact—it should help you make sense of the system and guide adaptive strategy. DDE supports this by:
- Clarifying the purpose and boundaries of your work.
- Surfacing different perspectives and voices.
- Identifying leverage points and unintended effects.
- Helping design for the future, not just the past.
At its heart, DDE helps organizations build the muscles they need to learn, adapt, and innovate sustainably.
Final Thoughts: Designing for What We Want
If every system is designed to get the results it gets, then we must design for the results we want. That includes how we collect and use data, how we listen to others, and how we learn from what’s happening around us.
Design-driven evaluation reminds us that change is not something we report on at the end of a project—it’s something we build into the process from the start.
Let’s stop evaluating systems as if they’re static. Let’s start designing evaluations that move with them, by design.
If this way of learning, evaluating and designing is something you want to bring to your projects or organization, let’s book a time to talk. I can help you