Take a typical robo-advisory product. The engineering is genuinely sophisticated: tax-loss harvesting, rebalancing algorithms, risk-weighted allocation. But the landing page says “smart investing made simple,” which tells a prospective user almost nothing they did not already assume about every competitor.
Show the mechanism
The products that earn trust tend to do one specific thing: they show enough of the mechanism to make the outcome believable. Instead of promising automatic wealth, they might show a portfolio being rebalanced and explain, in one good sentence, why it matters.
People do not trust financial products because they are told to. They trust them because they can briefly see how the thing works.
That is the translation problem. The task is not to flatten complexity into a slogan. It is to find the part of the complexity that lets a person form a useful mental model.
The advantage of understanding both sides
For technical and financial products, the work sits between engineering and writing. If you can understand the mechanism, identify the customer’s real uncertainty, and explain one to the other, you have a more durable strategy than another claim about being simple.