Your SaaS product probably has UX problems if people sign up but never reach a first result, if support keeps answering the same “how do I…?” questions, or if users abandon tasks that should take a minute. The fastest way to confirm it is to compare activation, task completion and repeat usage with what you expected, then watch five real users try the product.
No single signal proves a UX problem, but several together almost always do. These are the nine we look for first when a founder tells us something feels off.
Spotting signs is useful, but you need numbers you can track. The HEART framework, published by Google researchers Kerry Rodden, Hilary Hutchinson and Xin Fu, breaks user experience into five measurable dimensions. You can read the original in their paper on measuring user experience at scale.
| HEART dimension | The question it answers | Example SaaS metrics |
|---|---|---|
| Happiness | How do users feel about the product? | CSAT, NPS, System Usability Scale (SUS) score |
| Engagement | How deeply do they use it? | Core actions per user per week, active days |
| Adoption | Do new users reach key features? | Activation rate, feature adoption, time to first value |
| Retention | Do they come back? | Week-1 and day-30 return rate, churn, renewal |
| Task success | Can they finish what they came to do? | Completion rate, time on task, error rate |
You do not need all five. The same paper pairs HEART with a Goals-Signals-Metrics process: pick one goal for the area you are worried about, decide what user behavior would signal success, then choose the metric that captures it. For a confusing onboarding, that might be Adoption (activation rate) plus Task success (setup completion rate). For a cluttered dashboard, it might be Engagement and Task success.
You can get a credible read on your product in a week using tools you probably already have.
Analytics tell you where users leave. They rarely tell you why. A 40% drop at step three could be a confusing label, a form that asks for a credit card too early, a slow page on mobile or a feature that simply is not what the user expected. Recordings and live testing close that gap, which is why a good diagnosis uses both. Our guide to SaaS UX research covers the methods in more depth.
The pattern is rarely a single dramatic flaw. It is usually a pile of small ones. When we audited the onboarding flow for SkilledScore, an AI career platform, we found 17+ usability issues in that one flow, including a missing design system, confusing navigation and an overly long signup process. The client later reported 25K+ users in the first month after the redesign.
In our UX audit for Smodin, an AI writing app for students and teachers, we found 37 usability issues. Users had to move through three separate modules to finish one writing task, several AI tools competed for attention with no separation by user type, and free and premium users saw two different versions of the app. None of that showed up as a single broken page. It showed up as hesitation and weak engagement.
Neither team lacked data. What they lacked was a structured look at the whole flow from a new user’s point of view.
It is worth being honest about this. A weak funnel can also come from attracting the wrong audience, unclear pricing, missing features, bugs or slow performance. A few quick checks help separate them:
Teams that build a product every day stop seeing it the way a new user does. If you have tracked the numbers, watched the recordings and still cannot say which problem to fix first, an external review gives you a ranked list. A UX audit does exactly that, and our complete SaaS UX audit guide explains how one runs. If you want to do a first pass yourself, the 40-point SaaS UX audit checklist is a good place to start.
Not sure whether you need a full audit or a quick fix? Book a free discovery call and we will tell you honestly where we would look first.
Look for low activation despite healthy signups, drop-off concentrated at one step, repeated “how do I” support questions, unused features and early churn. Then confirm by watching five real users try your core task without help.
HEART is a set of five user-centered metrics created by Google researchers: Happiness, Engagement, Adoption, Retention and Task success. Teams pick the dimensions that match their goal and define one metric for each.
A round of about five users usually reveals most of the major usability problems in a flow. It is more effective to run several small rounds, fixing issues between each, than one large study.
The most telling are activation rate, task completion rate, time to first value, feature adoption, week-1 retention and early churn. A sharp drop at one funnel step is often the clearest single signal.
Yes. Funnel data, support conversations, session recordings and a handful of moderated tests are enough for a first diagnosis. A structured UX audit is useful when you want a prioritized list from an outside expert.
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