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Fit Lab

Fit Lab is the recommender’s simulator. Enter example shopper numbers and see exactly what shoppers will see — which size wins, and how every other size scores — before the chart goes live.

  1. Open a chart in the editor.
  2. Click Test in Fit Lab in the top utility bar (or open a chart and navigate to its Fit Lab page).

The header shows which chart you’re testing. Back to editor returns when you’re done.

Pick the mode your test shopper represents:

  • Use height & weight (most shoppers) — height (cm, 100–230) and weight (kg, 25–250).
  • I know my measurements — bust, waist, hip (cm, 40–200).

Both modes accept the same ranges shoppers see on the storefront.

As you type, Fit Lab updates:

  • Best: size M — score 96 — the winning size and its score, with “Estimated from height & weight” when using that mode.
  • A reason line in the same format shoppers see (“bust 88 falls in M (86–91)”).
  • A table scoring every size:
SizeVerdictScore
SToo tight38
MPerfect96
LA little loose81
XLToo loose52
What you seeWhat it usually means
One Perfect size, neighbours loose/tightHealthy chart — publish
Two sizes nearly tiedExpected with adjacent sizes; the larger wins ties by design
No size reaches Perfect for typical shoppersYour ranges may be shifted — re-check the source numbers
Everything “Too tight” or “Too loose”Measurement type (body vs garment) may be set wrong — verify in the editor

For garment charts, the panel reminds you: measurements are eased down (−ease) and stretched (+10%) before scoring. For body charts, numbers are matched as-is. If Fit Lab results look systematically one step off on a garment chart, the numbers may actually be body measurements — switch the type in the editor and retest.

  • Before first publish — run 3–4 typical shoppers (small, average, tall) through Fit Lab and check each gets a sensible winner.
  • After an import — imports can transpose numbers; one Fit Lab pass catches it.
  • Before a sale push — sanity-check the chart your bestseller uses.
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