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1426679 file datta mullainathan behavioral design

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For researchers, this focus on impact at scale means privileging projects that build on<br />

existing government or large-scale non-profit programs rather than collaborations with<br />

small, boutique NGOs or service providers. It also means being willing to evaluate an<br />

intervention that may not necessarily isolate the causal effect of a single psychology or<br />

pathway, but of a suite of linked <strong>design</strong> innovations. And it means paying close attention to<br />

the administrative burden or logistical requirements of any proposed solution, because these<br />

affect whether a solution can be scaled up.<br />

Finally, this means that governments need to be open to involving <strong>behavioral</strong> experts when<br />

programs are first <strong>design</strong>ed as well as to experimenting on existing programs. As important<br />

is openness to exploring new (and sometimes surprising) pathways to impact that emerge in<br />

the course of the detailed problem and <strong>behavioral</strong> analysis.<br />

Embedding innovation into the <strong>design</strong> process itself leads to <strong>design</strong>s that have a greater<br />

chance of success than if we proceeded to testing the first feasible and reasonable set of<br />

ideas about how to solve a problem. Over time, a rigorous application of the approach to<br />

program <strong>design</strong> outlined in this paper should lead to more effective, cheaper and more easily<br />

replicable innovations. As we have seen, many policy problems can be traced in the ultimate<br />

analysis to gaps between intentions and actions. A systematic application of <strong>behavioral</strong><br />

<strong>design</strong> should help close another, equally important gap: that between what policy seeks to<br />

achieve and what it accomplishes.<br />

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