Whatyoureceive
This is what an audit looks like when it lands in your inbox. Everything below is made up for a fictional company, so you can judge the depth and clarity before you commit to anything.
Example Outfitters: where customers are lost, and how to win them back.
The short version
Example Outfitters’ shop is easy to browse, but it loses customers at three points: product pages that are slow on phones, a checkout that shows fees late, and a search that misses everyday words. Fixing these three should help the most customers for the least effort.
Friction by area
Sample scores out of 100. Higher means more friction. Real audits explain how each score is reached.
What we found
Product pages are slow on phones
Photos are much larger than screens need, and seven outside scripts run before the Buy button responds.
- Why it matters
- Slow pages lose customers before they see the product.
- What we would do
- Resize photos, load the first one first, and delay scripts that are not needed to buy.
- Effort and impact
- Low effort, high impact
Fees appear only at payment
The total price changes at the last step because a service fee is added then.
- Why it matters
- Surprise costs are a common reason people abandon a purchase.
- What we would do
- Show the full price on the first basket screen.
- Effort and impact
- Low effort, high impact
Search misses everyday words
Searching ‘sneakers’ finds nothing, although the catalogue says ‘trainers’.
- Why it matters
- Customers who cannot find a product assume you do not sell it.
- What we would do
- Treat common word pairs as the same and suggest the closest match for misspellings.
- Effort and impact
- Medium effort, high impact
Idle test servers are still running
Four test setups have had no activity for months but still cost money.
- Why it matters
- You pay for capacity nobody uses.
- What we would do
- Switch off or shrink them, and give each remaining cost a named owner.
- Effort and impact
- Low effort, medium impact
Two reports disagree on visitors
The marketing and sales reports count a visit in different ways.
- Why it matters
- Teams argue about numbers instead of deciding what to do.
- What we would do
- Agree one definition, fix the tracking and build one shared dashboard.
- Effort and impact
- Medium effort, medium impact
What to fix, in order
How we will prove it worked
Measured on a mid-range phone, before and after.
Compared over the same number of days.
Counted before and after the search changes.
Tracked in support, once prices appear earlier.