“It feels tight across the chest”“The body is narrower than expected”↳ Feedback about body width and ease
01 / FEEDBACK GROUPINGSee recurring themes at a glance.
Group return reasons by product and variant to spot recurring themes.
APPAREL INTELLIGENCE Fitnote for apparel brands
Turn returns
into product improvements.
Find insights in recurring size and fit feedback
to improve your next product page.
We are building a tool that groups return reasons by product, compares them with measurements and fit details, and drafts product-page improvements for merchants to review.
Early-stage prototype · Explore synthetic data without signing up
ffitnote / workspaceSAMPLE DATA
PRODUCT OVERVIEW
Sample period · 7 daysReturn feedback insights
Feedback notes24notesSynthetic data
Products reviewed3productsSize · fit related
Priority reviewShirtCheck product info
Recurring feedback Illustrative grouping
Counts are illustrative synthetic notes.
Cotton everyday shirtSKU · CT-001
Review product infoReview the “relaxed fit” description.
Feedback about body width appears repeatedly. Check the garment measurements and actual fit before updating product information.
Check the evidence. The merchant decides.View review note →
From feedback to a reviewable changeProduct by product, with evidence.
better product information
01 Recurring customer feedback
02 Product facts
03 Merchant judgment
LISTEN. UNDERSTAND. IMPROVE.
Look beyond return counts
to understand why.
Customer feedback comes in many forms, but improvement opportunities can be connected.
Explore the workflow we are building.
Product informationStatus
Chest width by variantCheck needed
Model size wornListed
Fit and ease descriptionReview needed
Find information gaps.
Compare feedback with measurements, fit descriptions, and model details to identify what to check first.
PRODUCT COPY / DRAFT
03 / REVIEWABLE SUGGESTIONSAdd measurement details,
and review whether the fit description matches how it wears.
Source notes 3Merchant review
Turn insights into product-page edits.
Draft suggestions based on product facts. Merchants review and decide what to publish.
BEFORE / SAMPLE COPY
A relaxed fit that feels great on everyone.
A model size alone may not help shoppers judge how relaxed the fit will feel.
“I expected it to feel as roomy as it looks.”Synthetic return note
AFTER / REVIEW DIRECTION
Give shoppers details that set clearer expectations.
- Add measurements by variant and explain how they are taken
- List the model’s measurements and size worn
- Describe the fit based on a verified try-on
MAKE THE NEXT PAGE BETTER
Replace assumptions with
the information shoppers need.
“It runs small” does not automatically mean the product is defective. Fitnote is designed to organize feedback into hypotheses to review and show what product information to verify.
Explore a review note ↗A CLEAR WORKFLOW
Start with a clear
first review.
The first version will start with return notes and product information.
CSV upload and live analysis are planned, not available yet.
Prepare return notes
Organize product, variant, and return reason. Leave out customer names, contact details, and addresses.
Product / variant / return reasonCompare product information
Review measurements and fit descriptions to understand feedback in context.
Measurements / try-on details / fit descriptionReview suggestions
Merchants review source feedback and product facts, then decide what to change.
Evidence / checks / suggested editsEXPLORE THE PRODUCT
For your product,
what would you check first?
Switch products to explore how sample return notes connect to review suggestions.
Fitnote / Product feedback reviewSynthetic-data demo
PRODUCT REVIEW NOTE
What to check first
Product-page review direction
Merchant review before publishing
This demo shows prewritten examples. Live AI analysis, file uploads, and store integrations are not available yet.
GOOD QUESTIONS
Before you
get started.
What is available now
and what is still planned.
Can I analyze real return data now?
This site currently offers a product overview and synthetic-data demo. CSV uploads and AI analysis are planned; this page does not collect customer data.
Who is Fitnote for?
Fitnote is being built for independent online apparel retailers who want to use size- and fit-related return feedback to improve product pages.
Do I need a store integration or app?
The demo runs in your browser without signup or installation. The first live-analysis version is planned around CSV and product information; store integrations are not available yet.
Does Fitnote guarantee fewer returns?
No. Suggestions are hypotheses and review directions for product information. Any impact must be validated with real sales and return data and merchant feedback.
What are the pricing and launch timeline?
The demo is free to explore. Pricing and launch timing for the full product are not set; we will share them after building live analysis and validating with merchants.
THE NEXT IMPROVEMENT IS IN YOUR FEEDBACK
Start by rethinking how you
read return feedback.
Explore how Fitnote could help improve your next product page.