The approach
Imagine customers who are both choosing an investment. One wants a clearer explanation of the options. Another understands the options but feels uncertain about committing. This is an illustrative example: a shared journey stage doesn’t establish a shared obstacle.
Before personalising the next message or screen, it helps to ask what is getting in the way and what evidence would support that interpretation.
U Impact works with financial-services teams to combine assessment signals, examine a defined cohort and develop support options to test. That can mean reviewing explanations, structuring a conversation or designing a more useful next step.
Personalise around an evidenced need
A journey label helps organise research, but it does not tell a product team which message an individual should receive. Before assigning a support route, describe the signal that would justify it and the uncertainty that remains.
For example, a customer who cannot distinguish the options may benefit from a different explanation. A customer who can explain them but hesitates may need a conversation about the decision. Treat both as hypotheses. Keep it easy for people to ask for a different form of help if the initial interpretation does not fit.
Questions for your team
- What evidence distinguishes the support needs?
- Can the customer correct the interpretation or choose another route?
- How will you assess whether the support helped with the decision?
Evidence and interpretation
This article describes a research or event-design approach. Illustrative examples are not participant findings. Self-report, knowledge checks and hypothetical scenarios provide different kinds of evidence; they do not by themselves establish observed investment behaviour or the effect of an intervention.
Read more about our methodology and investment competence and confidence.
Put the question to work
Planning to improve a specific customer journey? Bring us the cohort, the decision and the support you currently offer. We’ll discuss how a diagnostic could inform your next design choices.