01
Build the fit revision ranking
Run the complete evidence review in one pass, separating visible symptoms from likely causes before ranking a focused set of changes for the next sample.
Made for Fashion Designers
Turn Raw Fit Notes into a Ranked Revision List
Also useful for: people in Creative
15 min
Beginner
Creative Planning
Get Something Done
Need to Compare Options
Convert mixed fit evidence into specific garment revisions ranked by fit impact, design intent, cost, and sampling risk.
We'll use them to write your prompt.
Completed ✓
Make Your Play
Give us the situation. We’ll build the prompt.
Bring measurements, comments, photos, and wear-test clues into one decision-ready view.
Your answers save as you type.
What you'll do
This is the plan inside your prompt. Add your details first. Then follow these steps with ChatGPT or Claude.
Make Your Play
Turn Raw Fit Notes into a Ranked Revision List
Tell us what the prompt needs to know
Start with the questions below. Each answer personalizes the playbook and builds the prompt you’ll use at the end.
Your situation
Select the stage that best describes the garment being reviewed.
Describe the intended silhouette, proportion, ease, movement, and details that must be protected.
0/10000
Paste fitting comments, garment and body measurements, wear-test observations, and photo notes. Label who or what each comment came from when known.
0/10000
List any cost ceiling, deadline, fabric limit, construction restriction, vendor concern, or locked detail affecting the revision decision.
0/10000
This playbook was updated. Review your inputs before copying.
What you'll do
Check a step when you finish it.
01
Build the fit revision ranking
Run the complete evidence review in one pass, separating visible symptoms from likely causes before ranking a focused set of changes for the next sample.
Fill in the fields above to generate your prompt preview.
Assembled prompt
Beginner instructions
Paste the notes as they are, even if they repeat or contradict each other. Label measurements by garment area when possible. Add the intended silhouette so the assistant doesn’t automatically “correct” an intentional oversized, cropped, dropped, or asymmetric feature.
Advanced instructions
Add the base pattern reference, tolerance table, fabric behavior, construction method, size tested, and model measurements. Ask for a second ranking under a different priority, such as protecting margin, reducing sample rounds, or preserving a runway silhouette.
Use this when
You have scattered notes from a fitting or wear test and need to decide which pattern, construction, or specification changes belong in the next sample.
You'll need
- Garment and sample stage
- Design intent
- Fit evidence
- Constraints
You'll get
- Every fit issue tied to evidence or marked as uncertain
- Every proposed change ranked by fit impact, design intent, cost, and sampling risk
- Every unsupported revision amount replaced by a verification step
- The next sample focus limited to a coherent set of priority changes
By the end of this playbook
You will have:
- Every fit issue tied to evidence or marked as uncertain
- Every proposed change ranked by fit impact, design intent, cost, and sampling risk
- Every unsupported revision amount replaced by a verification step
- The next sample focus limited to a coherent set of priority changes
Examples
Progress 1 of 1