Turn inconsistent size language into a more honest fit answer
A size-and-fit playbook that uses product measurements, cut notes, and variant availability without promising that a label fits every shopper the same way.
Transparency note: North Assembly, Rowan, the catalog entries, and the scenario on this page are fictional. They demonstrate ShopDash product logic and do not represent a customer testimonial or measured result.
“I usually wear EU 39. Which boot is the roomier fit, and is my size available?”
Ten footwear products have size variants but four omit width, last shape, or insole measurements needed for a meaningful fit comparison.
01 · RETRIEVE
Start with evidence the store actually owns.
ShopDash reads the authorized Shopify catalog and assembles the product facts relevant to the question. It does not treat an attractive description as evidence for a missing technical, compatibility, fit, care, or safety attribute.
| Product | Evidence found | Readiness signal |
|---|---|---|
| Frame Boot | EU 36–42, wide-fit note, 25.2 cm insole for EU 39, live stock | Strong documented fit signal |
| Line Derby | EU 37–43, regular fit, live stock; insole length absent | Compare cautiously |
| Studio High | EU 36–41 and shaft height; width guidance absent | Needs a width fact |
02 · REASON
Make the reasoning legible.
Use measurements before labels
A numeric insole or garment measurement is more informative than 'relaxed' or 'true to size' alone.
Join facts to live variants
A fit suggestion stays useful only when the relevant size is actually available.
Preserve personal uncertainty
ShopDash can compare documented fit evidence without claiming to know an individual body or comfort preference.
03 · ANSWER
Be useful without filling gaps with confidence.
“Frame Boot is the clearest roomier option because the catalog documents a wide fit and a 25.2 cm insole for EU 39, which is currently available. Line Derby is described as regular fit, but its insole measurement is missing. Product measurements are a starting point, not a guarantee of personal fit.”
Grounded example · not shown to a live shopper04 · ACTIVATE CAREFULLY
Start read-only. Expand when the evidence earns it.
Scan, prioritize, test
- Catalog scan
- Variant retrieval
- Fit fact comparison
- Agent Lab testing
- Read-only controls
Activate, learn, act
- Merchant-editable fit notes
- Storefront fit-question capture
- Recommendation attribution
- Approval workflows
THE SYSTEM BEHIND THE PLAYBOOK