How to Conduct a UX Audit of Your Website

TL;DR: What You Will Learn

• Define objectives and success metrics

• Mine your analytics for behavioural evidence

• Gather user research and real feedback

• Run a heuristic review against usability principles

• Check accessibility and inclusive design

• Prioritise findings by impact and effort

• Report with clear, actionable recommendations

By the end, you will have a method you can reuse every quarter, whether you are auditing a Shopify store, a corporate site, or a government service portal.

What a UX Audit Actually Is and When to Run One

Let me start with a definition, because the term gets thrown around loosely. A UX audit is a structured evaluation of how usable, accessible, and effective your website is, backed by both qualitative and quantitative evidence.

That last part matters. When I run one, I am not just clicking around and sharing opinions. I combine numbers (drop-off rates, task completion, load times) with human signals (session recordings, support tickets, what real users say when they get stuck).

A note on the examples in this guide: the Singapore scenarios throughout, the fashion retailer, the online grocer, the insurer’s quote form, and others are illustrative composites drawn from patterns I’ve seen across real audits, with identifying details changed for confidentiality. They’re here to show the method in action, not to profile specific companies.

What a UX Audit Is Versus is Not

A UX audit is a diagnosis, not a treatment. It tells you what is broken and why, but it is not the fix itself.

That is where people confuse it with a redesign. A redesign rebuilds the interface; an audit tells you whether you should, and which parts actually need it.

It is also not a CRO test. Conversion rate optimisation runs A/B experiments on specific elements, while an audit maps the whole journey to decide what is worth testing in the first place.

And it is not a heuristic review on its own. A heuristic review checks your site against usability principles like Nielsen’s, which is useful, but a full audit adds behavioural data and real user evidence on top of that expert opinion. If you are still fuzzy on why usability sits deeper than visuals, this piece on the difference between UI and UX is worth a quick read.

Signals That It's Time To Audit

You do not audit for the sake of it. There are usually clear trigger moments.

• Conversions or add-to-cart rates are sliding, and you cannot explain why from analytics alone.
• You are migrating platforms, say moving from a custom build to Shopify.
• You have just gone through a rebrand, and the site now feels inconsistent.
• You are about to pour budget into Meta or Google Ads and want to stop leaking paying visitors.

Picture a homegrown fashion retailer in Singapore preparing a year-end push across both Shopee and their own website. Shopee handles the checkout for them, but on their own site, shoppers abandon at the payment step.

Before spending on paid traffic to drive people to that site, an audit finds the leaks: a confusing PayNow flow, unclear delivery timelines, a mobile menu that hides the search bar. Fixing those first means the ad spend actually converts.

Who Should Be Involved

A UX audit is not a solo designer exercise. I always pull in three perspectives.

Product knows the roadmap and constraints, marketing knows the campaigns and traffic sources, and a designer translates findings into interface changes. When all three read the same audit, the recommendations actually get implemented rather than parked in a slide deck.

Setting Clear Objectives and Success Metrics

Before you open a single analytics dashboard or heatmap, you need to know what you are actually trying to answer. The most common mistake I see when people ask how to do a UX audit is jumping straight into tools without a clear goal, then drowning in data that leads nowhere.

A UX audit without objectives is just a screenshot collection. Anchor it to a business outcome first, then work backwards to the user behaviour that drives it.

Take a real Singapore scenario: a SkillsFuture-eligible training provider whose leadership says they want to “improve the website”. That is far too vague to audit. Reframed, it becomes: “Why are so few visitors completing our course enquiry form, and where do they drop off?”

That single reframing turns a wish into a measurable question you can investigate.

Defining Audit Scope and Key User Journeys

Decide what you are auditing and, just as importantly, what you are not. For our training provider, the priority journey is the path from a course landing page to a completed enquiry form, not the entire site.

Map the two or three journeys that matter most to revenue or user success. A good rule is to pick the journeys where a small improvement moves a real business number.

Choosing Primary Metrics and Benchmarks

Pick one primary metric per journey, then a couple of supporting ones. For the enquiry form, your primary metric is form completion rate, supported by drop-off rate per field and task completion time.

Set a benchmark so you can judge findings. That might be:

• Your own past performance (last quarter’s completion rate)
• A realistic internal target set with the business owner
• General patterns you observe across your industry, described qualitatively rather than borrowing a figure you cannot verify
• Avoid inventing “industry standard” numbers. If you do not have a trustworthy benchmark, compare against your own historical baseline instead.

Setting a Realistic Timeline and Stakeholder Sign-Off

Agree on how long the audit will take and who signs off on the findings. For a focused two-journey audit, I usually scope one to two weeks for data gathering and analysis, not an open-ended project.

Get explicit agreement from the person who owns the outcome, often a marketing lead or business owner, before you start. This prevents the awkward moment where you present findings, and someone says that was never the goal.

Finally, write down every assumption. If you assume mobile users are the priority, or that the enquiry form is the main conversion point, note it.

Documenting assumptions is what lets every later finding map cleanly back to your objectives, so your recommendations feel like answers to a question the business actually asked.

Gathering Analytics and Behavioural Data

Before I redesign a single button, I let the data talk. When I start a UX audit, my first job is to gather evidence, not opinions, because everyone on a team has a hunch about what is broken, and most of those hunches are wrong.

The most important thing to remember when learning how to do a UX audit is this: data shows you what happens, not why it happens. A high exit rate flags a problem; it does not explain the frustration behind it.

I pull from four core sources: Google Analytics 4, heatmaps, session recordings, and Google Search Console. Each answers a different question.

Setting Up the Right Events and Funnels

GA4 is event-based, so you get very little useful UX insight unless you configure custom events first. I set up events for the key actions I care about, then string them into a funnel exploration.

Take a Singapore online grocer I once looked at. Their team assumed checkout abandonment was a payment problem, but the funnel told a different story.

I built a funnel with these steps and watched where users dropped off:

• View cart
• Enter delivery address
• Select delivery slot
• Enter payment details
• Confirm order

The biggest fall happened at the delivery slot step, not payment. Nearly half of the shoppers who reached that stage never moved on, which is exactly the kind of pinpoint clue analytics is meant to surface.

When you are wrangling this much event data, it helps to work smarter. These 7 AI hacks to speed up your data analysis can cut hours off the sorting and summarising.

Reading Heatmaps and Session Recordings

Once the funnel points me to a problem page, I switch to qualitative-leaning behavioural tools. Heatmaps show where people click, scroll, and hover, while session recordings replay individual journeys.

For the grocer, the delivery slot heatmap revealed rage clicks on greyed-out time slots. Shoppers were repeatedly tapping slots that were already fully booked but did not clearly look unavailable.

The session recordings confirmed it: people scrolled up and down hunting for any open slot, then closed the tab. The data showed the where; the recordings hinted strongly at the why.

Identifying Quantitative Red Flags

As you review each source, keep a simple watchlist of warning signs. These red flags tell you where to focus your deeper investigation.

I look for high exit rates on non-endpoint pages, sharp funnel drop-offs, rage clicks and dead clicks in heatmaps, and search queries in Search Console that suggest people cannot find what they expected.

One final, non-negotiable point for anyone auditing a Singapore website: handle all of this data in line with the PDPA. Only run recording and analytics tools with proper consent notices in place, and avoid capturing personal fields like names, addresses, or payment details in your recordings.

Understanding Users Through Research

Your analytics can tell you that seventy per cent of users abandon a form on the third field, but it cannot tell you why. That “why” only comes from watching and listening to real people, which is the qualitative half of learning how to do a UX audit.

I always pair the numbers with research, because a spike in drop-offs might be confusion, distrust, or a fat-finger tap on a button too small for an older user’s thumb. You need to see it to fix it.

Choosing a Research Method for Your Budget

You do not need a lab or a big budget. Your three workhorses are quick user interviews, usability tests (moderated where you guide the session, or unmoderated where users record themselves), and short surveys.

Moderated tests cost more time but let you probe with follow-up questions. Unmoderated tests through a tool are cheaper and faster if your tasks are crystal clear.

Recruit around five representative users. Nielsen Norman Group’s research shows five people uncover roughly 85% of usability problems, with sharply diminishing returns after that; add a few more only when you are testing distinct user groups.

Representative is the key word. If you are auditing a town council app or a bank flow used heavily by seniors, recruit older residents, not your colleagues. I have watched an elderly tester in an HDB void deck struggle with tiny touch targets and jargon-filled labels that a younger team never noticed.

Writing Tasks and Questions That Avoid Bias

Write realistic task scenarios, not instructions. Say “You received an SMS that your conservancy charge is overdue. Show me how you would pay it,” rather than “Click the payment button in the top menu.”

The first version reveals whether people can find the path. The second just tests whether they can follow your finger.

Keep your questions neutral so you do not lead people to the answer you want:

Avoid “Was that easy?” and ask “How did that feel?”

Avoid “Do you like this button?” and ask “What would you do next?”

Never phrase language in Singlish shorthand that some seniors miss; use plain, clear English throughout the interface and the questions.

If you are hiring for this work, spotting these habits matters, and they surface often in common UX designer interview questions.

Capturing and Tagging Observations

Record every session with consent, then note observations against timestamps. I tag each moment with a simple label: confusion, error, hesitation, or delight.

Tagging turns messy notes into patterns. When three of six testers hesitate at the same screen, you have a finding, not an opinion.

Now triangulate. Your analytics flagged the drop-off, your session recordings showed the fat-finger taps, and your interviews explained the distrust behind an unclear fee label.

When two or three sources point to the same problem, you can act with confidence instead of guessing.

Running a Heuristic Evaluation

Once you have mapped your pages and flows, the heart of the audit is the expert review. This is where you do a UX audit by holding your interface up against a proven set of usability principles rather than relying on gut feel.

The most widely used lens is Jakob Nielsen’s ten usability heuristics. They give you a structured checklist, so you evaluate the same qualities on every page, from your homepage to your checkout.

Applying the Ten Heuristics Practically

I work through each heuristic and ask a plain question of the page in front of me. Does the navigation match how people think? Does the system tell me what is happening? Can I recover easily if I make a mistake?

Take a local insurer’s online quote form as a running example. When I review it, I look at four heuristics in particular: navigation and user control, error prevention, consistency, and visibility of system status through feedback.

On that quote form, I often find the error messages fail. Enter a Singapore NRIC in the wrong format, and the field flashes red with a generic “invalid input” line that never explains what the correct format is. That breaks the “help users recognise, diagnose and recover from errors” heuristic.

I also check the progress indicator. Many multi-step forms hide how many steps remain, so you never know if you are two screens or seven screens from your premium. That is a clear failure of visibility of system status.

Consistency is another quick win. If the “Next” button sits bottom right on step one but bottom left on step three, that inconsistency slows people down and quietly erodes trust.

Scoring Severity From Cosmetic to Critical

Finding issues is only half the job. You need a severity scale so the client or your product owner knows what to fix first.

I use a simple four-point scale, and I recommend you adopt something similar:

• Cosmetic: A minor polish issue, fix only if time allows.
• Minor: A small usability problem that annoys but does not block.
• Major: A problem that frustrates many users and needs fixing soon.
• Critical: A blocker that stops people from completing the task or leaves the business exposed.

On the insurer’s form, an unexplained NRIC error that stops submission is critical. A slightly misaligned label is cosmetic. Rating each finding this way turns a long list into a priority order.

Documenting Each Issue With Evidence

Every issue you log needs three things: a screenshot, the exact location, and the heuristic it breaks. Vague notes get ignored, so annotate your screenshots directly.

I capture the screen, circle the problem area in orange, add the page URL and step number, then note the heuristic and severity beside it. If you want to mock up a corrected version, a step-by-step Figma tutorial for beginners will get you annotating and redesigning quickly.

One last point on objectivity. A single reviewer carries personal bias, so use at least two or three evaluators independently, then merge findings. You will be surprised how often two people flag completely different problems, and that overlap gives you a far more reliable picture.

Checking Accessibility and Inclusive Design

When I run a UX audit, accessibility is never an afterthought. It is a core part of learning how to do a UX audit properly, because a site that excludes people is also a site that loses conversions.

Here in Singapore, that matters more than many teams realise. We have an ageing population, four official languages, and a huge range of digital confidence levels, so an inaccessible checkout or form quietly turns away real customers.

I test against the Web Content Accessibility Guidelines (WCAG), focusing on colour contrast, keyboard navigation, alt text, visible focus states, and screen reader compatibility. These are the areas where I see the most damage done.

There is also a wider push behind this. IMDA’s Digital for Life movement is about making the digital world usable for everyone, including seniors and lower-income households, and Enterprise Singapore’s digitalisation support helps SMEs build better digital experiences. Accessible design fits squarely within both.

Quick automated checks versus manual testing

I always start with automated tools because they are fast. Browser extensions and scanners flag missing alt text, low contrast ratios, and unlabelled form fields in minutes.

But automated checks only catch a fraction of real issues. They cannot tell you whether your focus order makes sense or whether a screen reader announces a modal in a way a blind user can follow.

So I follow up manually. I unplug my mouse and navigate the whole site with the Tab key, then run through key flows using VoiceOver on Mac or NVDA on Windows to hear what a screen reader actually reads out.

The most common accessibility failures

Across local sites, the same problems come up again and again. A typical example is a home services SME whose booking button is orange text on a slightly darker orange background, which fails contrast for anyone with reduced vision.

The failures I flag most often are:

• Insufficient colour contrast on buttons, links, and body text
• Missing or unhelpful alt text on product and banner images
• Form fields without visible labels or error messages
• No visible focus state, so keyboard users lose their place
• Content that only works with a mouse, like hover-only menus
• Non-descriptive link text such as “click here” that confuses screen readers

Documenting fixes by severity

I record every issue in a simple table, then rank it by severity. A checkout form a keyboard user cannot submit is critical and blocks a sale, while a low-contrast footer link is minor.

This lets a small team fix the highest impact problems first without feeling overwhelmed. I usually group items into critical, major, and minor, and pair each with a clear remedy.

One point I always stress: accessible design improves usability for everyone. Larger tap targets, clearer contrast, and readable error messages help a rushed commuter on a phone just as much as a screen reader user.

Prioritising and Scoring the Fixes

By the time you finish an audit, you will have a messy list of thirty or forty issues, and everything feels urgent. The real skill in learning how to do a UX audit is turning that list into a defensible, ranked plan your team and stakeholders can actually trust.

Scoring Issues By User Impact and Business Value

I score every issue on two things: how much it hurts the user, and how much it hurts the business. A simple approach is to combine severity (how badly it blocks or frustrates users) with frequency (how many people hit it).

A broken button on a rarely visited terms page scores low. A confusing form on your highest traffic landing page scores high, because the same problem multiplies across thousands of visitors.

I like to attach evidence to each score. If your analytics show 60 percent of sessions come from mobile, a mobile issue instantly carries more weight, and nobody can argue with the number.

• Severity: Does it block the task, cause errors, or just mildly annoy?
• Frequency: How many users and sessions actually encounter it?
• Business value: Does fixing it protect revenue, leads, or brand trust?

Multiply or add these into a single score so you have one column to sort by. That single ranked list is what stops meetings from turning into opinion battles.

Plotting an Impact-Effort Matrix

Score alone is not enough, because some high-impact fixes take three months of developer time. That is why I plot everything on an impact versus effort matrix.

The four quadrants are quick wins (high impact, low effort), major projects (high impact, high effort), fill-ins (low impact, low effort), and avoid (low impact, high effort). Plotting forces you to be honest about cost, not just importance.

Take a Singapore SME running an e-commerce store ahead of a year-end sale. A broken mobile checkout button sits firmly in the quick wins quadrant: high impact. It kills sales, low effort because it is a small code fix.

A minor colour tweak on the About page is a fill-in at best. When peak season revenue is on the line, the checkout button ships first and the colour waits, and everyone in the room understands why.

Sequencing Quick Wins and Roadmap Items

I always front-load quick wins in the first sprint. They build momentum, show stakeholders the audit was worth funding, and often recover measurable revenue fast.

Major projects, like rebuilding a clunky navigation, go onto a phased roadmap with owners and rough timelines. I map these against content plans too, since fixing structure pairs naturally with building a content strategy that boosts your SEO.

The point is balance: never let big structural work stall the small fixes that could be live this week. When every item ties back to a score and a piece of evidence, your prioritisation becomes something leadership can defend, not just a designer’s hunch.

Reporting Findings and Presenting Recommendations

You have done the hard work of the audit, but none of it matters if your findings sit in a slide deck nobody acts on.

The report is where a UX audit either drives change or dies quietly. So treat the deliverable as a product in its own right, designed for the people who will read it.

Structuring the Report

Start with a one-page executive summary. A busy stakeholder should grasp the three or four biggest problems and their business impact in under a minute.

Then present the detailed findings, each backed by evidence: a screenshot, a heatmap, a session recording clip, or a quote from usability testing. Never state an opinion without showing the proof behind it.

Give every issue a severity rating. I use a simple three-tier scale: critical (blocks a core task or loses revenue), moderate (causes friction), and minor (polish). This lets readers scan and know where to look first.

Close with a prioritised roadmap that maps each fix to effort and impact, so quick wins are separated from bigger rebuilds.

Presenting to Non-Designers

Here is where most audits lose the room. Founders and marketers do not care about heuristic violations; they care about outcomes.

So tie every finding to a metric or business result. Instead of “the CTA has poor contrast,” say “the primary sign-up button is hard to see on mobile, which likely contributes to the drop-off we see on the checkout step.”

Picture a Singapore startup founder preparing to pitch to an Enterprise Singapore-supported programme. She needs to show that her product converts and scales.

When I present to someone like her, I frame each recommendation as ROI: fixing the confusing onboarding flow could lift trial-to-paid conversion, which is exactly the traction story investors and grant assessors want to see. That translation from UX language to business language is what gets budget approved.

Before-and-after visuals do a lot of this work for you. A side-by-side mockup of the current cluttered form next to a cleaner proposed version communicates faster than any paragraph.

Assigning Owners and Closing the Loop

A recommendation with no owner is a recommendation that never happens.

Against each roadmap item, name who is responsible (developer, designer, content lead) and a rough next step or timeframe. Even a loose “next sprint” versus “next quarter” keeps momentum.

Finally, link every recommendation back to the original objectives you set at the start of the audit. If your goal was to reduce checkout abandonment, group your findings under that goal so the report visibly answers the question you were hired to solve.

A UX audit only earns its keep when the report is clear, brief, and framed around the outcomes your stakeholders actually care about.

Tools and Templates to Streamline Your Audit

When people ask me how to do a UX audit, they usually expect a long shopping list of expensive software. The truth is that a solid audit relies on a small, well-chosen toolkit that spans data, behaviour, research, accessibility, and documentation.

Here is the stack I reach for again and again. GA4 and Search Console give you the hard numbers on traffic and drop-offs. Hotjar or Microsoft Clarity show you heatmaps and session recordings so you can watch where people hesitate.

For quick research, Maze or UserTesting let you run remote tasks and unmoderated tests. WAVE or axe DevTools catch accessibility issues in minutes. Then Figma or a simple spreadsheet becomes your home for capturing findings.

Free Versus Paid Tool Choices

You do not need paid plans to start. I once helped a lean Singapore SaaS startup, a five-person team preparing for a redesign, run a genuinely useful audit entirely on free tiers.

They used GA4 and Search Console for free, Microsoft Clarity for unlimited heatmaps at no cost, and the free version of WAVE for accessibility. Their whole audit budget was effectively zero, and it surfaced enough problems to justify the redesign spend later.

The paid upgrade only makes sense when volume grows. Once you need more than a handful of Maze test participants a month, or you want Hotjar’s advanced funnels, that is your signal to move up. Start free, prove the value, then invest.

A Reusable Audit Template Structure

I keep a single template so every audit follows the same rhythm. You can build this in a spreadsheet or a Figma board, and Figma is genuinely handy here because you can annotate screenshots next to your notes. If you are curious about the wider workflow, this piece on what Figma is used for in real design teams shows how design teams document work.

My template covers these columns:

• Issue and the page or flow where it appears
• Evidence, such as a heatmap clip or GA4 metric
• Severity, from minor to blocker
• Recommended fix
• Effort estimate for the dev or design team

That structure turns scattered observations into a prioritised action list your stakeholders can actually approve.

When to Bring in a Trained Designer

Tools surface symptoms, but interpreting them well takes skill. If your team keeps spotting problems without agreeing on fixes, that is when a trained UX designer earns their keep.

I would still encourage you to build that capability in-house rather than outsource every audit. Upskilling one person on your team, perhaps through SkillsFuture-supported training, means you can run confident audits regularly instead of only when budget allows.

Conclusion

Remember the problem we started with: a site that pulls in healthy traffic but leaks conversions everywhere, leaving you guessing why visitors bounce before they buy or book.

The seven stages we walked through resolve that guessing directly. When you define your goals, gather quantitative and qualitative data, walk the key journeys, benchmark against heuristics, and prioritise fixes, those mysterious drop-offs become named, evidence-backed issues you can actually act on.

That is the real shift I want you to take away. A UX audit is a repeatable diagnostic, not a one-off spring clean. The best teams I have worked with revisit it every quarter, or after any major redesign, so problems get caught early rather than after a bad sales month.

Evidence also changes how these conversations go. When you bring a manager a prioritised, well-reported list showing which fixes move the needle and roughly how much effort each takes, you stop asking for budget and start making a business case. That is how audits win buy-in.

So do not wait for the perfect moment. Pick one important page, run a small audit this week, and let one clear finding prove the value before you scale up.

If you want to run these audits confidently in-house rather than outsourcing them, the natural next step is to build the underlying UX and UI skills properly, not pick them up piecemeal. That’s exactly what the WSQ User Experience & User Interface (UX UI) Design Essentials Course at Equinet Academy is designed for: a SkillsFuture-supported pathway that takes you from spotting problems, like the ones in this guide, to confidently designing and validating the solutions.

So don’t just diagnose your website’s friction; learn to fix it and start building the skills to run audits and ship redesigns with confidence.