Cohort Analysis: What It Is and How to Use It
Cohort analysis groups users by behavior or date to measure retention, engagement, and conversion over time. Learn how to set it up and extract actionable...

A heuristic evaluation is a usability inspection method where one or more evaluators examine an interface and compare it against a set of recognized design principles (heuristics). It doesn't require real users, making it a fast and cost-effective method for detecting usability problems.
The term was popularized by Jakob Nielsen in 1994, and his 10 usability heuristics remain the most widely used framework in the industry.
The system should keep users informed about what's happening. In CRO, this translates to:
A checkout without a progress indicator generates uncertainty and increases abandonment.
Language and concepts should be familiar to the user, not internal jargon.
Users make mistakes and need a clear "emergency exit."
Similar elements should behave similarly throughout the site.
Better than a good error message is a design that prevents errors.
Minimize user memory load by making necessary elements visible.
Allow shortcuts for expert users without complicating the experience for new ones.
Every extra element in the interface competes with relevant information and reduces its relative visibility.
Error messages should be clear, specific, and constructive.
Although ideally the interface should be self-explanatory, sometimes help is needed.
Decide which pages or flows to evaluate. For CRO, priorities are usually:
Ideally, 3-5 independent evaluators. Each reviews the interface separately and documents problems found. More than 5 evaluators rarely uncover new findings.
Each evaluator walks through the defined flows and notes every problem, associating it with the violated heuristic. For each problem, document:
Combine findings from all evaluators, remove duplicates, and sort by severity.
Nielsen's severity scale:
| Level | Description | Action |
|---|---|---|
| 0 | Not a usability problem | Ignore |
| 1 | Cosmetic, fix if time permits | Backlog |
| 2 | Minor problem, low priority | Plan |
| 3 | Major problem, high priority | Resolve soon |
| 4 | Usability catastrophe | Resolve before launch |
| Aspect | Heuristic Evaluation | User Testing |
|---|---|---|
| Cost | Low | Medium-high |
| Time | 1-3 days | 2-4 weeks |
| Real users | No | Yes |
| Problem types | Structural usability | Real behavior |
| Subjectivity | Medium (depends on evaluator) | Low (observed data) |
The ideal approach is to combine both: heuristic evaluation as a quick first filter and user testing to validate the most critical findings with real behavior.
The value of heuristic evaluation in a CRO process is that it generates hypotheses quickly. Each identified problem is a potential hypothesis for an A/B test:
"The checkout doesn't show a progress bar (violates heuristic 1). Hypothesis: adding a progress bar will reduce checkout abandonment by 10%."
This workflow — heuristic, hypothesis, test, measurement — is one of the most efficient for teams that want to optimize quickly with limited resources.
At Boost, we apply heuristic evaluations as part of our CRO audits to quickly identify improvement opportunities before launching A/B tests. If you want an expert audit of your website, learn about our CRO services or analyze your site for free with Scan&Boost.
Adrià Vidal — Boost
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