UX Metrics Explained: Continuous, Discrete, and Binary

Metrics are the unsung heroes of great user experience design. They’re the trusty yardsticks we use to measure how well our designs are doing. But when it comes to UX metrics, things can get a little tricky. Continuous, discrete, binary. What do these terms even mean?

To make it crystal clear and fun, let’s turn to our trusty metaphorical sidekick: Pizza.
Yes, pizza!

We’ll use this universally beloved food to break down UX metrics. Because if there’s one thing that everyone understands, it’s pizza.

Continuous metrics are like a pizza buffet where slices keep coming, and you can eat to your heart’s content. These metrics measure things that can be infinite, flowing, and smooth, much like your love for cheese.

UX Examples

• Projects completed: How many projects have users successfully completed?
• Time spent: How much time do users spend on your platform?
• User sign-ups: How many users have signed up so far?

Pro Tip:

If users are spending hours on your platform but not completing tasks, your UX might need a tune-up. Metrics like these reveal where time is flowing and where it’s being wasted.

Discrete metrics are countable, specific, quantifiable, and easy to tally. Think of them as the number of pizza boxes at a party. Each one tells a part of the story, like how hungry or ambitious your guests were.

UX Examples

• Confidence rating: How confident do users feel about completing a task (usually rated 1–5)?
• Net Promoter Score (NPS): How likely are users to recommend your product to others?
• System Usability Scale (SUS): What score does your system get for usability?

Pro Tip:

Discrete metrics help identify patterns in user sentiment. For instance, a low NPS could signal deeper usability issues that continuous metrics can’t pinpoint.

Binary metrics are as straightforward as asking, "Did the pizza arrive or not?" It’s a yes-or-no situation. These metrics tell you if something happened or didn’t, and there’s no room for maybe.

UX Examples

• Success rate: Did users succeed in completing a task? (Yes/No)
• Conversion rate: Did users convert, such as signing up, purchasing, or subscribing? (Yes/No)

Pro Tip: 

If your binary metrics reveal high failure or low conversion rates, consider revisiting your flow or identifying friction points. Sometimes, a small tweak can lead to a big “Yes!”