What has to happen between seeing a price and changing a choice?

Price transparency has an intuitive appeal: if people can see what a service costs, they can choose more wisely. Castlight built a business around making healthcare cost and quality information available through employers and benefit arrangements. Its 2014 securities filing described an enterprise platform intended to help employees navigate a complicated system. The proposition addressed a real information problem. The unresolved question was how much that information would change behavior, and under what conditions it would affect spending.

The buyer and user were different. An employer could purchase access for a large population, while an employee would decide whether and when to use it. Procurement therefore established availability, not engagement. Even engagement was only an intermediate step: a person still needed a relevant service, a meaningful choice of providers, confidence in the comparison, and a reason to act. The gap between these stages is where a plausible information product becomes a more demanding behavioral proposition.

A 2017 Health Affairs study examined Castlight's introduction for a large California public-employee population. It found no association between offering the tool and lower overall spending on the services studied. Only about twelve percent of eligible employees used it in the first fifteen months. There was a narrower finding for advanced imaging: searches were associated with lower prices, but very few imaging recipients had searched. The authors' result concerned this deployment and period; it did not prove that every transparency intervention is ineffective.

Earlier research had produced a more encouraging association among people who used price information. A 2014 JAMA study, with several Castlight-affiliated authors, examined claims across eighteen employers and associated searches with lower payments for certain services. Those findings and the later population-level result answer different questions. People who choose to search may differ from those who do not. A useful result among users is not equivalent to a meaningful effect across everyone offered the service. That distinction is easy to lose in a sales presentation.

The commercial lesson is not to conceal the less favorable study or abandon the original problem. It is to ask what the intervention actually requires. Does the person encounter the tool before a referral is effectively decided? Is the out-of-pocket estimate understandable? Can they reach the alternative provider? Does their benefit design reward the change? These are hypotheses for product and implementation work. The studies do not allow us to assign a specific reason to every employee who did not search.

Research on Safeway's use of transparency alongside reference pricing provides another perspective. The study distinguished access to price information from a benefit design that made the financial consequences of provider selection more explicit. It found stronger price-shopping responses when information and incentives were combined. That does not make every incentive appropriate or equitable. It does suggest that a tool's effect depends on the surrounding purchasing rules, not just the accuracy or attractiveness of its interface.

For a workshop group, the revealing exercise is to map one actual decision from referral to appointment. Mark the last point at which the person can realistically choose differently, then place the information and support there. Measure the complete population, the users, and the eventual outcomes separately. Castlight's story makes a familiar innovation problem concrete: visibility is an important input, but action requires an opportunity, a reason, and a workable next step. Improving those connections is more demanding, and potentially more valuable, than adding another comparison screen.

For a discussion tailored to your team, explore a workshop with Julien.