How do I prioritize UX issues after an audit?
A UX audit typically surfaces 15-40 issues. Not all of them matter equally. Prioritizing incorrectly means spending development budget on low-impact work while high-impact friction continues costing you revenue. Here’s how to do it right.
The two dimensions that matter
Dimension 1: Revenue impact How much is this issue actually costing you? This is a function of:
- How many sessions encounter this issue (reach)
- How much it suppresses conversion rate when encountered (severity)
- How much revenue is associated with those sessions (value)
A checkout payment step error that affects 80% of checkout sessions and causes 15% abandonment is high-impact. A confusing FAQ page structure that affects 3% of sessions with no direct purchase path is low-impact.
Dimension 2: Implementation effort How long does fixing this take, and who needs to be involved?
- Low effort: theme settings change, copy edit, Shopify app configuration — typically a few hours
- Medium effort: theme code edit, layout change, new section implementation — typically 1-3 days of developer time
- High effort: checkout restructuring, platform-level changes, integration work — typically 1-3 weeks
The 2x2 impact-effort matrix
Place each audit finding into one of four quadrants:
| Low Effort | High Effort | |
|---|---|---|
| High Impact | Quick Wins — Do these first | Major Projects — Plan and schedule |
| Low Impact | Fill-ins — Do when bandwidth exists | Time Sinks — Deprioritize or skip |
Quick Wins: These are your immediate action items. High revenue impact, low developer cost. In a typical audit, there are 3-7 of these. Common examples: adding trust signals near payment, showing shipping costs earlier in the funnel, making guest checkout more prominent, improving mobile keyboard types for payment fields.
Major Projects: High impact but significant development investment. These go into your development sprint planning. Examples: checkout flow restructuring, full mobile UX overhaul, product page redesign. Don’t skip these — they’re often where the largest long-term conversion gains are. Just plan them properly.
Fill-ins: Low impact, low effort. Do them when a developer has spare capacity between larger projects. Don’t let them compete with Quick Wins for priority.
Time Sinks: Low impact, high effort. Either deprioritize indefinitely or find a simpler approach that achieves the same goal with less work.
Estimating revenue impact
You don’t need precise numbers — directional estimates are enough for prioritization. For each issue, ask:
- What percentage of sessions encounter this issue? (Use funnel data)
- What’s the estimated abandonment effect? (Research benchmarks help here — Baymard publishes the average abandonment impact of specific friction types)
- What would a reasonable improvement look like?
Example: Your checkout shows shipping costs only at the payment step (step 3 of 3). Funnel data shows 40% drop-off at payment. Based on Baymard’s research that cost surprise causes ~28% of checkout abandonment, you might estimate that showing shipping costs in the cart would reduce that payment step drop-off by 10-15 percentage points. At your volume, that’s X additional orders per month at €Y AOV = €Z monthly revenue impact.
You don’t need to be precise — you need to be right about the relative ordering. A 10x revenue impact vs. a 2x revenue impact is what matters for sequencing.
What to do with the prioritized list
Once you have your quadrants filled:
- Immediately: brief your developer and designer on the Quick Wins and get them into the current sprint
- This week: schedule Major Projects into the development calendar — give them specific slots, not just “eventually”
- Monthly review: move Fill-ins into sprints as capacity allows
- Quarterly: revisit Time Sinks to see if there’s a simpler approach now available (platform updates, new apps, better tooling)
Common prioritization mistakes
Fixing what’s visible, not what’s costly. Homepage aesthetics are visible and feel important. A checkout form field that blocks 15% of purchases is invisible until you look at the data. Prioritize by revenue data, not visual prominence.
Treating all “must fix” items equally. Some prioritization frameworks flag everything as “must fix,” “should fix,” or “nice to have.” This is too coarse. Even within “must fix,” the sequencing matters. What’s your first-week action vs. your first-quarter action?
Underweighting mobile issues. Mobile often generates 60-70% of traffic but converts 40-60% lower than desktop. Mobile issues have outsized reach — they should rank higher than their effort level suggests for most stores.
Starting with branding changes. Font choices, color palettes, and brand aesthetic changes feel impactful because they’re visible. They rarely move conversion meaningfully. Start with friction points in the purchase funnel, not visual refresh.
If you’ve received an audit report and need help working through the prioritization process, book a call — I can help map your specific findings to the right sequence. For stores that haven’t had an audit yet, the research process includes prioritization as part of the standard deliverable.
For a complete breakdown, read Ecommerce CRO: Stop Buying More Traffic. Fix the Store You Have..