The most valuable part of this project was building a complete information architecture and user flow, and using storytelling to turn long-term saving into a journey around future life goals. However, the biggest lesson was not delivering a new savings feature. It was developing a deeper understanding of what design should solve, and recognizing that the understanding of product strategy was still limited at the time.

Initially, the product team was inspired by Commitment Devices used in fitness and language learning products. The goal was to increase the completion rate of long-term savings plans through Commitment Deposits and Loss Aversion. This idea seemed convincing because it had worked in other behavior-change products. Therefore, the problem was treated mainly as a UX problem: the flow was too long, there were too many actions, and the information load was too high. The design focused on interface-level improvements, such as simplifying the flow, reducing steps, improving hierarchy, and adding emotional design. The assumption was that users would accept the mechanism if the rules were explained clearly.

However, the review showed that the real challenge was not the interface, but the mechanism itself. Users had to decide how much to save and for how long, while also understanding what the Commitment Deposit was, why it had to be paid in advance, when it would be refunded, why it could be deducted, and how the bonus pool worked. More importantly, if the deposit was actually deducted, users were likely to question whether the platform was fair and whether the rules were transparent. In other words, the mechanism increased not only information complexity, but also the cost of building trust. The design reduced operational effort, but it did not reduce decision effort or psychological overload.

But a more important question was whether this incentive mechanism matched the users of this product?

• Misaligned Risk Profiles: Users locking capital into fixed-yield products for months or years are inherently risk-averse. They seek stability, predictability, and low volatility. The Wish Tracker introduced gamified stakes and variance into an already high-anxiety financial domain.
• Conflicting Intent & Motivation: In education or fitness, users willingly pay for external discipline to overcome their own inertia. Long-term savers are different: they don't lock away their money to "challenge" themselves; they do it to secure a predictable future. They are buying certainty, not gamified behavioral reform.
• A Contradictory Value Proposition: The product sent mixed signals. On one hand, it promised steady, predictable growth; on the other, it threatened penalties and shared reward pools. The interest rate signaled certainty, while the commitment deposit introduced vulnerability. Users arrived looking to de-risk their future, only to encounter an artificial layer of risk at the point of interaction.

This project showed that a mechanism should not be evaluated only by whether it is theoretically sound. It also needs to match users' expectations of the product. Previously, most attention was given to interface and flow, with the assumption that a clear interface could solve most problems. However, this project showed that problems exist at different levels: some come from information architecture, some from interaction flow, and some from the product mechanism itself. When a feature tries to achieve too many product and business goals at the same time, interface design can reduce the learning cost, but it cannot resolve conflicts within the strategy.

If this project were redesigned today, much more time would be spent on product strategy before interface design. The focus would be on deciding which goals should be solved by the mechanism, which should be solved by operations or business strategy, and whether the mechanism truly matched user needs. This became the most important lesson from the project.