The seven-point checklist
- The item belongs in the category I am browsing.
- Photos show the details that matter for this product type.
- Sizing, measurements, or fit notes are visible when needed.
- Price makes sense beside similar finds.
- Shipping weight does not ruin the value.
- The row is not just hype or a vague label.
- I can explain why I would save this find.
Score your row
Scoring is a browsing aid, not a product or seller verification. A high score means the row gives you better comparison material; it does not guarantee quality.
Score evidence, not optimism
Give a point only when the row or active destination provides usable evidence. “Probably available,” “looks about right,” and “the title says premium” are not points. Unknown information stays at zero until it is found. This prevents a low price or attractive image from lifting the whole score by mood alone.
Some checks are also decision gates. If the active source no longer matches the row, the selected variant is unclear, or a measurement essential to fit is missing, pause even when the other checks score well. The total organizes research; it does not overrule a critical mismatch.
QC photos by category
| Category | Photos that help | Common blind spot |
|---|---|---|
| Shoes & sneakers | Both sides, toe, heel, sole, insole measurement | Relying on the labeled size |
| Hoodies & shirts | Front, back, collar, cuffs, print close-up, measurement view | Ignoring garment width and length |
| Bags | Front, back, base, interior, hardware, strap attachment | Missing scale or dimensions |
| Watches & jewelry | Face, edges, clasp, fastener, finish under neutral light | Judging from one reflective angle |
Good row example
Candidate: a hoodie row with front and back photos, chest and length measurements, a readable source link, fabric weight context, and two similar rows for price comparison.
Reason to save: the measurements match a garment you already wear, and the photos answer the print and cuff questions.
Weak row example
Candidate: a hoodie called “top quality” with one studio image, a size label but no measurements, a shortened source reference, and no weight note.
Reason to remove: the row creates more questions than it answers.
A worked five-out-of-seven example
Suppose a jacket row has useful front, back, lining, zipper, and label views. Its chest and sleeve measurements use clear seam points, the source page still matches the selected color, and its price sits beside two similar jackets. That earns category, photo, sizing, price, and source-confidence credit.
| Check | Result | Reason |
|---|---|---|
| Category | 1 | Compared only with similar jackets |
| Photos | 1 | Construction views answer the important questions |
| Sizing | 1 | Chest and sleeve methods are visible |
| Price context | 1 | Two comparable rows provide a baseline |
| Shipping context | 0 | No item weight or packed-volume clue yet |
| No vague hype | 1 | The decision does not depend on promotional labels |
| Clear save reason | 0 | The missing shipping context could still change value |
The correct result is “research more,” not “round up to strong.” The next action is specific: find a comparable weight or wait for warehouse data, then write the one-sentence save reason.
The one-sentence save rule
Save the row only if you can finish this sentence: “I am keeping this because the visible evidence answers ___ better than the comparable rows.”
What to do next
If the row scores four or five, search for the missing evidence rather than talking yourself into it. If it scores three or less, remove it and return to the category. A smaller, clearer list is the goal.