UX and copy heuristics for conversion

0:00 UX and copy heuristics

You don't always need months of research to find problems. Experienced reviewers can spot many conversion issues in an hour, by looking through the right lenses. Those lenses are called heuristics. In this lecture you'll learn a conversion heuristic framework, copy and UX heuristics that often matter, mobile-specific checks, and newer heuristics for accessibility, consent banners, localisation and AI chat widgets. Then you'll watch me run an AI-assisted heuristic pre-review, and verify it on a real phone.

0:33 Why heuristics

Why use heuristics? Because they're fast, cheap and surprisingly effective at finding obvious problems. They give you a structured way to review a page, so you don't just react to personal taste. But remember what they are: lenses, not laws. A heuristic suggests where a problem might be. Research and testing confirm whether it matters for your audience. Use heuristic findings as one input to your research log, marked with lower confidence than findings from real user behaviour.

1:07 Six lenses

Here's a conversion heuristic framework you can use on any page. Relevance: does the page match what the visitor expected? Clarity: is the value proposition and next step instantly clear? Motivation: does the page give strong reasons to act? Friction: what makes the action harder than it needs to be? Anxiety: what doubts about trust, security, delivery or returns are unanswered? And distraction: what pulls attention away from the goal? Score each page on each lens, and note specific evidence.

1:42 Copy heuristics

Copy heuristics. Clarity beats cleverness: can a visitor explain what you sell after five seconds? Specific beats vague: numbers, names and details. Benefits and outcomes beat features alone. Customer language beats internal jargon. And every claim should be supported by proof nearby. On pricing pages, check that prices, taxes and what's included are unambiguous, and that the most common questions are answered right there.

2:10 UX heuristics

UX heuristics that often matter. Visible, consistent navigation and search. Obvious primary actions. Forms that ask only for what's needed. Clear feedback after every action. Error prevention before error messages. Consistent patterns across pages. And the classics, like Jakob Nielsen's ten usability heuristics, such as visibility of system status, matching the real world, and recognition rather than recall, remain excellent checklists.

2:37 Mobile heuristics

Mobile deserves its own pass. Tap targets big enough and far enough apart. Text readable without zooming. Sticky calls to action that don't cover content. Forms using the right keyboard type, like a number pad for phone numbers. Key information visible without horizontal scrolling. And watch the things that pile up at the bottom of the screen: cookie banners, chat launchers and app download prompts. On a small phone, they can cover the very button you want people to tap.

3:12 Newer heuristics

Some heuristics are newer. Accessibility: contrast, focus visibility, target size, labels and error identification, following WCAG two point two. In the EU, the European Accessibility Act has applied to many ecommerce services since June twenty twenty-five. Consent and privacy UX: is reject as easy as accept, where required, and does the banner hide your call to action? Localisation: right-to-left layouts for Arabic and Urdu, local currency, dates and payment methods. And AI features: chat widgets that cover calls to action, or AI answers that contradict your own prices and policies.

3:51 Simple example: London SaaS pricing page

A simple example. A software company's pricing page in London has three plans with fourteen feature rows each, no recommended plan, prices that don't say whether VAT is included, and the FAQ below the fold. Running the six lenses: clarity fails, because the differences are buried; anxiety fails, because VAT and cancellation are unclear; and friction is high, because comparing is hard work. The fixes: highlight a recommended plan for the main segment, show five key differences first with the rest expandable, state VAT clearly, and put four pricing FAQs directly below.

4:31 Realistic example: Jeddah online pharmacy (illustrative)

Now a realistic scenario with illustrative details. An online pharmacy in Jeddah runs a heuristic review on its mobile product pages. The review finds that the chat widget covers the add-to-cart button on smaller phones, the prescription requirement is only explained after checkout starts, and the Arabic layout mirrors some icons incorrectly, like a back arrow pointing forward. None of these needed an A/B test to diagnose. Two are just-do-it fixes. The prescription explanation becomes a hypothesis: explaining the prescription process on the product page will reduce checkout abandonment for prescription items.

5:11 Watch me do it: AI heuristic pre-review

Watch me run an AI-assisted pre-review. I take mobile screenshots of the product page, the cart and the first checkout step. I give a multimodal assistant the context: the audience, the traffic source and the goal. I ask it to review against the six lenses plus accessibility, and for each issue to give the screenshot, the element, the lens, why it might hurt conversion, a suggested change and its confidence. And I tell it not to guess about anything it can't see, but to list those as needs checking. Then I pick up a real phone and check every issue. I remove two false positives, and add three things the model couldn't see: a slow response when tapping the size selector, an error state, and how a screen reader announces the price.

6:08 Running a heuristic review

How do you run a heuristic review properly? Define the page, audience, traffic source and goal first. Review on the devices your visitors use, mostly mobile. Go lens by lens rather than all at once. Ideally, two or three reviewers work independently, then merge findings. Record each issue with its location, the lens, the evidence, and severity. And treat the output as hypotheses and quick fixes, not as proven problems. Heuristic findings that line up with analytics or recordings deserve higher priority.

6:44 Severity makes it actionable

Once you have a list, score severity so something actually gets fixed. A simple scale works. Blocker: stops people completing the task, like a button that doesn't work on a common phone. Major: causes real hesitation or errors for many people, like unclear delivery costs. Minor: an annoyance, like inconsistent capitalisation. Then add reach: how many visitors hit this page or element? A major issue on the checkout outranks a major issue on the careers page. Blockers usually become just-do-it fixes. Majors become hypotheses or builds. Minors get batched into a monthly tidy-up. That way, a two-hour review turns into a short, prioritised plan instead of a long document nobody reads.

7:32 Common mistakes

Common mistakes. Treating heuristics as laws. Reviewing on a desktop monitor when most visitors use phones. Mixing personal taste with heuristic findings. Trusting AI reviews without checking on real devices. Ignoring accessibility and localisation. And producing a hundred-item list with no severity, so nothing gets fixed.

7:52 Recap

Recap. Heuristics are fast lenses: relevance, clarity, motivation, friction, anxiety and distraction, plus copy, UX, mobile, accessibility, consent, localisation and AI-widget checks. Use them to find likely problems and quick fixes, then confirm with research. AI can speed up a pre-review, but a human verifies on real devices. Try this now: run the six-lens review on your highest-traffic mobile page, using the AI prompt from the lesson text as a first pass, and verify every issue on a real phone before logging it.