Making personal financial decisions like buying a house and retiring are complicated and can be stressful. Tools like mortgage and retirement calculators can help give an answer and breakdown the complexity. Our calculators are more accurate and therefore, trusted, when they include all of the user’s information. How might the process of collecting all of a user’s personal information be easier, accurate and feel helpful?
After researching various methods, we landed on the Quickstart onboarding model. This method helps the user to start using the calculator by capturing their personal information in a manageable way with low-friction. We ran multiple iterations through user research to understand initial impressions, usability, comprehension and level of trust in the tool. We also ran A/B tests to see if it increase the bounce rate, time on site and CTR.
The design has proven to decrease bounce rate, drop off, increase engagement and increase trust in the answer. In user testing we found that onboarding created an experience that was easier (than a long list of inputs), provided a more accurate answer and felt helpful. We are testing new iterations to continue to improve the design and language.