NBFS field notes
NBFS field notes
Pinpoint which products cause returns and why, with specific fixes to prevent the next one.
Sign in with LinkedIn to contribute.
Collected facts
ReasonWhy reads your existing returns data and uses AI to group return reasons into clear categories, so you can stop guessing why customers send items back. It ranks your products by return impact and explains the real reason behind each one, whether sizing, fit, quality, or misleading product pages, then gives you evidence-backed fixes. Instead of just processing returns after they happen, you prevent the next one at the source. Works alongside your returns portal, not as a replacement.
Structured evaluations
Rate only the dimensions you experienced. Use N/A when an axis does not apply.
Evaluations are read-only after graduation or archival.
| Metric | Median | Responses | Distribution 1→5 |
|---|---|---|---|
| Setup & Ease of Use | — | 0 | 0 / 0 / 0 / 0 / 0 |
| UX/UI | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Listing Accuracy | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Reliability & Performance | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Support | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Value for Money | — | 0 | 0 / 0 / 0 / 0 / 0 |
No self-reported evaluation profiles yet.
Official listing images



From the developer
Developer content stays separate from collected facts and user evaluations.
Discussions · 0
Discussions are read-only after graduation or archival.
External NBFS sticker
The SVG updates when this app graduates or is archived. It is a listing marker, not a quality certification.