Choosing the right UX metrics for your product
To choose the right UX metrics, start from your product and user goals, identify the user behaviours or feelings that signal progress, then turn those signals into a small set of measurable metrics. Balance behavioural and attitudinal measures, leading and lagging indicators, and avoid vanity metrics that look impressive but do not guide decisions.
Why choosing metrics is hard
Modern products generate enormous amounts of data. Analytics tools track every page view, click and session, and dashboards can show hundreds of numbers. Yet many teams still struggle to say whether their product’s user experience is getting better. The problem is not a lack of data but a lack of focus: teams measure what is easy rather than what matters.
Good UX metrics are chosen deliberately. They connect directly to what users are trying to achieve and what the business needs, and they change in response to design decisions. This post focuses on how to choose metrics; our guide to measuring user experience explains common metric types and how to collect them.
The goals, signals, metrics method
A simple and widely used approach, associated with Google’s HEART framework, is to work through three steps. First, define the goal: what you want users to achieve or experience. Second, identify signals: the behaviours or attitudes that show progress toward that goal. Third, choose metrics: specific, measurable ways to track those signals over time.
| Goal | Signal | Metric |
|---|---|---|
| New users find value quickly | Users complete their first key task | Share of new users completing it in the first session |
| Checkout feels easy | Fewer people abandon checkout | Checkout completion rate |
| Users trust the product | Users enable optional features | Adoption rate of a key feature |
| Support is rarely needed | Fewer help requests about basic tasks | Support contacts per thousand users |
| People enjoy using it | Higher satisfaction ratings | Average post-task satisfaction score |
Using HEART to organise metrics
- Happiness: Satisfaction, ease ratings, net promoter score.
- Engagement: Frequency and depth of use.
- Adoption: New users or new use of features.
- Retention: Users who return over time.
- Task success: Completion, time and errors on key tasks.
Not every category applies to every product or feature. Pick the one or two most relevant to your current goals rather than trying to measure everything at once.
Balancing different kinds of metrics
| Pair | Why both matter |
|---|---|
| Behavioural and attitudinal | What people do and how they feel can differ |
| Leading and lagging | Early signals help you act before results show |
| Product-wide and task-level | Overall health and specific journey performance |
| Quantitative and qualitative | Numbers show what; research explains why |
For example, a lagging metric such as 90-day retention takes months to change, while a leading metric such as first-week activation can show early whether a new onboarding design is working.
Avoiding vanity metrics
Vanity metrics look impressive but do not help teams make decisions. Total page views, downloads or registered users can rise while the experience gets worse. Time on page can mean engagement or confusion. A useful test is to ask what you would do differently if the metric went up or down. If the answer is nothing, it is probably a vanity metric.
- Total downloads without activation or retention
- Page views without context about goals
- Time on site without knowing whether it reflects value or confusion
- Registered users without active use
- Social likes without links to outcomes
Example metric sets by product type
| Product type | Useful metrics |
|---|---|
| E-commerce | Checkout completion, search success, repeat purchase rate |
| SaaS | Activation rate, feature adoption, retention, task success |
| Mobile app | Day 1 and day 30 retention, session frequency, crash-free sessions |
| Content site | Return visits, scroll depth on key pages, newsletter sign-ups |
| Internal tool | Task time, error rate, support requests, satisfaction |
| Public service | Completion rate, digital take-up, time to complete, satisfaction |
A step-by-step process
- List goals: Write the main user and business goals for the product or feature.
- Find signals: Identify behaviours or attitudes that indicate progress.
- Choose metrics: Turn each signal into a specific, measurable metric.
- Set baselines: Measure current values before making changes.
- Set targets: Agree realistic improvements and timeframes.
- Review regularly: Check metrics monthly and retire those that stop being useful.
Segment your metrics
Averages can hide important differences. A checkout completion rate might be strong on desktop but weak on mobile, or high for returning customers but low for new ones. Segment key metrics by device, user type, language, region and acquisition channel to find where design changes will have the most impact. Our post on usability and context of use explains why context changes the experience.
Sharing metrics with the team
Metrics are most useful when the whole team understands them. Keep a short list of key UX metrics visible on a shared dashboard, explain what each one means, and review them together at regular intervals. When a design change is released, mark it on the chart so its effect is easy to see. Our guide to effective dashboard design offers tips for presenting metrics clearly.
Frequently asked questions
What are the most important UX metrics?
It depends on your goals, but task success, retention, activation and satisfaction are common starting points.
How many UX metrics should we track?
A small set per product area, often three to five, is easier to act on than a long list.
What is a vanity metric?
A number that looks good but does not help decide what to do next, such as total downloads without retention.
What is the HEART framework?
A way to organise UX metrics into Happiness, Engagement, Adoption, Retention and Task success, developed by researchers at Google.
How often should UX metrics be reviewed?
Monthly for most teams, with a deeper quarterly review to adjust targets and retire metrics that are no longer useful.
Should UX metrics be the same as business KPIs?
They should connect. UX metrics often act as leading indicators for business KPIs such as revenue and retention.