When users churn, support tickets keep coming in, or a feature gets ignored, the cause is rarely the feature itself, it's usually the experience around it.

Structured evaluation of your product against established usability heuristics, applied by a practitioner who has reviewed 50+ production interfaces. Each heuristic produces specific findings with a severity rating from Cosmetic to Critical and a specific fix, not general impressions. The evaluation covers every key flow, not just the primary conversion path, with findings de-duplicated so each issue appears once as one clear fix.

Review of your existing analytics data to identify where user behaviour diverges from design intent, examining funnel completion, exit rates, and feature usage and investigating anomalies like a 40% drop-off step that has never been benchmarked. Cohort analysis shows whether specific onboarding steps predict retention, and missing tracking is identified and prioritised to close the gaps that leave the product team guessing.

Systematic analysis of session recordings, targeted at the flows where analytics show problems rather than random browsing. Rage clicks reveal broken or misleading elements, hesitation patterns expose confusing form fields, click maps often contradict what the team believes the primary path is, and scroll depth shows whether your value proposition is even seen. Filters isolate sessions from abandoners, unconverted paid traffic, or mobile users.

Moderated or unmoderated usability sessions with 5-8 representative users, enough to surface roughly 85% of significant problems per Nielsen's research. Tasks are framed as realistic goals, not click instructions, and think-aloud protocol surfaces the mental-model mismatches behind wrong turns. We measure task success, time-on-task, and navigation errors, and deliver timestamped video evidence so each finding links to a clip.

WCAG 2.1 AA compliance evaluation, the standard behind the UK Equality Act, US ADA, and European Accessibility Act. Automated scanning catches the machine-detectable violations while manual review and screen reader testing cover the rest, including contrast failures, missing focus indicators, and keyboard traps. Each finding includes the specific WCAG criterion, the affected element with a selector, and the code-level fix.

Consolidated findings from all audit methods, de-duplicated and prioritised into a document a product team can take directly into sprint planning. Every finding includes evidence, a severity rating, root cause, and a specific design recommendation, and a priority matrix plots impact against effort, putting Quick Wins at the top and explicitly deprioritising low-impact items. All evidence assets are linked.