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UX checklist for an online store

35 points to be verified

Baymard Institute research shows that the average store loses 70% of customers before completing a purchase. Most of these abandonments are not due to price - they are due to UX issues that can be detected without a user research budget. Mandatory pre-purchase registration, an invisible "add to cart" button on mobile, surprising delivery costs only at checkout - each of these points has a documented impact on conversion rates.
This checklist is adapted to Polish realities: it takes into account BLIK, local payment standards and typical behavior of mobile users in Polish stores. Conduct it yourself on a live store - no tools, just a browser and a phone.

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  4. UX checklist for an online store

💡 Tip

Estimated time of use: 2-3 hours - use before a redesign, rebranding or big-budget campaign

Checklist · 34 pts

UX checklist for an online store

Baymard Institute research shows that the average store loses 70% of customers before completing a purchase. Most of these abandonments are due to UX issues - not price. This checklist is condensed knowledge from hundreds of UX audits and A/B tests for Polish e-commerce stores.

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Table of Contents
A · 01—06Section

A. Home page and navigation

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B · 01—08Section

B. Product card

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C · 01—06Section

C. Shopping cart

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D · 01—08Section

D. Checkout - a critical funnel

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E · 01—07Section

E. Mobile - a priority, not an add-on

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Warning — Never test the UX of a store only on your own device. Ask 3 people unrelated to the project to buy a specific product and observe - without prompting. This will give you more than a week of analytics.

You're just getting started

Many key points are not yet marked. Go through the list point by point - each ticked item brings you closer to success.

What this checklist does NOT replace

- Research with users at stores over 500k in revenue per month
- Measurement of actual user behavior - Hotjar/Microsoft Clarity + GA4 is used for this purpose
- Marketplace specifics (Allegro, Amazon) - only applies to your own store

Where to look for problems before you go down the list

Tool

What it will show

Cost

GA4 - e-commerce funnel

Where users leave the purchase path

Free

Microsoft Clarity

Session recordings, click maps, heatmaps

Free

Hotjar

Recordings of sessions, surveys on website

Free (limited)

Chrome DevTools - throttle

Loading time and UX on slow connection / mobile

Free

Want to know why customers abandon their shopping cart in your store?

We do UX audits and A/B testing with a report recommending priority changes.

FAQ

Questions and answers

Always ask someone else - preferably someone who is not familiar with your store. This is a fundamental limitation of testing your own product: you know every path by heart, so you unknowingly bypass navigation problems that are blocking for a new user. 3-5 people from your target audience are enough, each with a separate task ("buy a blue sweater in size M and see when it arrives"). Watch without prompting - where they stop says more than any questionnaire.

Three data sources give the answer in order of increasing accuracy. GA4 with e-commerce funnel shows where users leave the purchase path - if 60% drop off between "shopping cart" and "delivery details," the problem is at that stage. Session recordings (Hotjar, Microsoft Clarity - Clarity is free) show specific behavior: where they click, where they stop, where they scroll back. User testing gives the most accurate answer, but takes time. For most stores, the funnel alone in GA4 plus a few dozen session recordings are enough to pinpoint the 3-4 biggest problems.

It depends on where you are losing customers - and this is a question for your data, not for general benchmarks. If users add products to the cart but don't complete the purchase - the problem is in the checkout. If they are referring from product pages without adding to cart - the problem is in the product card or category navigation. As a general rule of thumb: optimizing the checkout gives you a faster and more measurable return, because you are acting on users who have already made a purchase decision - any barrier at this stage is a lost sale that was already "ready."

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