Developmental Evaluation
Also known as: DE, Patton Developmental Evaluation, Complexity-Informed Evaluation
Developmental evaluation is an approach designed to support innovation and adaptation in complex, dynamic environments where the intervention itself is still emerging. Articulated by Michael Quinn Patton in his 2011 book, it abandons the assumption of a fixed, pre-specified model to be tested, and instead embeds an evaluator within the design team to provide real-time feedback that informs ongoing development. Its purpose is development — helping social innovators learn, adapt and respond as conditions change — rather than the improvement of a settled program (formative) or the judgement of a completed one (summative).
Key highlights
- Fits genuinely complex, emergent interventions that fixed evaluation designs would distort or stifle.
- Delivers timely, decision-relevant feedback that innovators can act on while the work is still malleable.
- Integrates evaluation into the development process, increasing learning, ownership and use of findings.
- Explicitly accommodates changing goals and contexts rather than penalising programs for adapting.
Intuition
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How it works
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When to use it
Use developmental evaluation when an intervention is a genuine social innovation operating under high uncertainty and complexity — the model is not yet stable, goals are emergent, and the context is turbulent. It suits early-stage initiatives, systems-change efforts, adaptive management, and crisis or rapid-response situations where waiting for a fixed design would be counterproductive. It assumes innovators want and can act on real-time learning, and that funders accept emergent rather than pre-specified accountability. It is the wrong choice when a model is stable enough to standardise and improve (use formative evaluation) or when a defined program must be judged for a go/no-go or accountability decision (use summative evaluation). It is also unsuitable where stakeholders require a fixed counterfactual estimate of impact.
Strengths & limitations
- Fits genuinely complex, emergent interventions that fixed evaluation designs would distort or stifle.
- Delivers timely, decision-relevant feedback that innovators can act on while the work is still malleable.
- Integrates evaluation into the development process, increasing learning, ownership and use of findings.
- Explicitly accommodates changing goals and contexts rather than penalising programs for adapting.
- Provides no summative verdict or counterfactual impact estimate, which can frustrate accountability-focused funders.
- Depends heavily on a skilled, credible evaluator embedded in the team, raising conflict-of-interest and independence concerns.
- Emergent, evolving designs are hard to pre-specify, budget and quality-assure against conventional standards.
- Risks capture by the team it serves, blurring the line between honest evaluation and advocacy for the innovation.
Common pitfalls
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Applications
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Frequently asked
How is developmental evaluation different from formative evaluation?
Formative evaluation improves a program that already has a stable model — it tunes a recipe. Developmental evaluation supports the creation and continual reshaping of a model that does not yet exist or keeps changing, in conditions of genuine complexity. Patton stresses that developmental evaluation is not just 'early formative work': it is appropriate whenever development and adaptation, rather than improvement of a settled design, is the ongoing purpose.
Can an embedded evaluator stay objective?
Independence is the central tension. The developmental evaluator is deliberately part of the team to deliver timely, trusted feedback, which sacrifices the arm's-length stance of summative evaluation. Patton argues the safeguard is rigorous evaluative thinking and honest reporting of inconvenient evidence, not distance. Many organisations pair developmental evaluation with a separate, independent summative evaluation when an accountability verdict is eventually required.
Does developmental evaluation measure impact?
Not in the counterfactual, effect-size sense. Its job is to inform development decisions in real time, so it tracks emergence, adaptation and intermediate signals rather than estimating a net causal impact against a control. If a defensible impact claim is needed later, the intervention must first stabilise and then be evaluated with a design built for attribution, such as a counterfactual impact evaluation or contribution analysis.
Sources
- 1.Patton, M. Q. (2011). Developmental Evaluation: Applying Complexity Concepts to Enhance Innovation and Use. New York: Guilford Press.ISBN 9781606238721
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Cite this page
ScholarGate. (2026, June 22). Developmental Evaluation. ScholarGate. https://scholargate.app/public-policy/developmental-evaluation