Why this matters
Launching a design is not the end. Real users in real conditions will use it in ways no test predicted. Several design adverts mention analytics, conversion, data informed design or A/B testing, especially at fintech and product companies. You do not need to be a data analyst, but you should know which simple numbers tell you whether a design works and how to read them carefully.
Simple numbers that matter
- Completion rate. Of the people who start a task, how many finish? For example, how many people who open "Pay bill" reach the success screen.
- Drop off. At which step do people give up? A funnel, a list of steps with the number of people at each, shows this clearly.
- Time on task. How long it takes to finish. Shorter is usually better for routine tasks.
- Errors. How often people hit error messages, such as wrong account numbers.
- Support contacts. What customers call or message customer care about. Support staff hear problems every day; talk to them.
Developers and data colleagues usually set up tracking with free or paid analytics tools. Your job is to say which steps and events matter for the design.