Philippines staffing research ·
How reliable are ecommerce return-reason labels?
A blinded record-review protocol for measuring whether return categories match the evidence available to operations teams.
Key Stats
GAO data-reliability guidance centers assessment on whether data are sufficiently complete, accurate, and appropriate for their intended use; it does not declare operational dropdown labels reliable by default.
Methodology
This protocol draws on GAO data-reliability guidance, NIST information-quality standards, and UK service-measurement guidance. It proposes a stratified retrospective review of a client-defined period. No store, customer, or warehouse data were analyzed, and the design cannot determine product root cause from administrative records alone.
Key Takeaways
Define returns, exchanges, cancellations, failed deliveries, and refunds separately, then fix the order window, return window, channels, product population, and extraction cutoff. Preserve the original reason label.
Select a reproducible stratified sample by label, product group, channel, value, and outcome. Give two trained reviewers the same permitted evidence without showing each other’s classification.
Compare original and reviewed categories, missing evidence, conflicts, reviewer agreement, and adjudicated changes. Report the full confusion matrix rather than only an overall agreement percentage.
Philippines ecommerce analysts may extract permitted fields, de-identify review records, and reconcile the sample. Product quality, fraud, customer remedy, supplier action, and policy decisions stay with authorized owners.
Limitations include selective customer responses, inconsistent warehouse notes, changed product versions, unverifiable images, reviewer judgment, and incomplete linkage across systems. Agreement does not establish the true cause.
Pilot the codebook, preserve unknown and multiple-evidence states, and publish exclusions and denominators. Use findings to improve capture prompts, not to blame customers or individual agents.
Reliability fields
Retain original label, evidence sources, reviewed label, confidence, missingness, conflict, reviewer pair, adjudication, product version, and cutoff.
Required reporting
Show category-level counts, agreement, disagreements, unknowns, exclusions, and sampling weights where used.
Next step
Test category evidence before using return labels for decisions.
FAQs
Can this study identify defective products?
No. It evaluates administrative label reliability, not engineering or manufacturing cause.
Should every disagreement be relabeled?
No. Adjudication may confirm the original, select another category, or retain an unknown state.
Sources
- https://www.gao.gov/products/gao-20-283g
- https://www.nist.gov/director/nist-information-quality-standards
- https://www.gov.uk/service-manual/measuring-success/how-to-set-performance-metrics-for-your-service