October 22, 2026

How to Review Fit Across a Graded Size Range

Review fit across a graded size range in CLO, comparing avatars, silhouette, ease, placement, and tight areas to guide pattern checks.

Yes, you can review fit across a graded size range in CLO.

• Pair the graded sizes with the avatars that represent the bodies you intend to assess.
• Update grading data, then simulate each size you want to review.
• Use CLO Grading Review to see all simulated graded garments and avatars together on one screen.
• Compare silhouette, balance, ease, placement, and size-to-size changes; use Fit Maps to investigate tight areas.
• Record the size and location of each issue, then decide whether to revisit avatar pairing, grading, pattern geometry, or design ease.

1. Decide what the size-by-size review needs to tell you

A size-range review helps you decide whether the garment keeps its intended shape, fit, and proportions as the pattern changes across sizes. It also helps locate the sizes and garment areas where a difference deserves a closer look. CLO Grading Review supports this task by showing simulated garments and avatars for all graded sizes together on one screen.

Treat the review as a comparison of several related things, not as a single check for tightness. A sleeve can look proportionally short even when its circumference seems adequate. A hem can rise at one size because the garment’s balance changes on that avatar. A knit bodice can show a different strain pattern from a woven shirt because the fabric and intended ease differ. A useful review connects the visual difference to the garment’s purpose, avatar, and pattern.

Fit assessment commonly considers ease, balance, set, grain, and line, according to a 2024 study of fit models’ roles in technical design. Ease is the space between the garment and body; design ease contributes to the silhouette the designer intends. Balance concerns how a garment hangs in relation to the body, while set describes how smoothly it lies without pulling or wrinkling, as explained in a 2024 paper on fit metrics and body-shape variation.

Use those terms to turn a broad question such as “Does this size look right?” into observations you can act on. For each size, inspect the following:

• Silhouette and proportion: Does the garment retain the intended outline? Do length, width, sleeve shape, and volume change in the planned way across the range?
• Ease and tightness: Does the space between body and garment suit the design and material? Does a close fit remain close where intended, or does one size show a distinct tight area?
• Balance and set: Do the front and back hang as intended? Do hems, waistlines, and other horizontal landmarks sit consistently with the design? Does the garment lie smoothly, or do tension lines and folds appear in one size?
• Placement and alignment: Do necklines, shoulder seams, armholes, pockets, waist seams, and other landmarks stay where the design calls for them as the body form changes?
• Grading continuity: Does each adjacent size make a coherent change? Does one size create a visible jump in length, circumference, angle, or placement?

The 2024 fit-metrics paper describes grain as an important consideration for fitted woven garments, while stretch, negative ease, line, balance, and set can take priority for knits. Use the design brief and material to decide which observations matter most for the garment you are reviewing.

Use the base size and approved fit intent as your comparison anchor, then check whether the other sizes retain that intent. A 2005 study that examined 40 women’s size charts found that only 17% of the upper-torso measurements examined were useful for forming grade rules; its findings support treating size specifications and grading as related inputs that deserve review, rather than assuming every body measurement changes in a simple uniform way.

2. Prepare the graded garment and comparison conditions

Start with a graded pattern whose base size and grade changes reflect the current design intent. Identify the full size run you want to assess and its base size. Keep the relevant size specifications and approved fit comments nearby so you can distinguish a planned change from a grading issue.

A grading module outline from Royal Roads University’s open educational resources describes stacking repeated graded pattern shapes along a guideline to check for visual discrepancies, then comparing each size to the base. That is a practical pattern-stage screen before simulation: it can direct attention to unexpected shape or grade progression changes. It complements the 3D review, which lets you inspect the resulting garment on its paired avatar.

Create or edit the grading before preparing the size-range review. CLO’s Grading Review instructions say the feature is activated from simulated results for each grading size.

Choose a consistent review plan before simulating. List the smallest, base, and largest sizes as useful range anchors, then add intermediate sizes where grade changes, design transitions, or earlier fitting comments make them important. CLO Grading Review displays all graded sizes together on one screen, making intermediate-size transitions visible alongside the endpoints. Checking the ends and middle first provides a quick overview; including intermediate sizes can reveal a local jump that the endpoints conceal.

Set the review conditions to match the question. Use the intended garment fabric and its established simulation properties. The 2020 virtual-versus-physical fit study says realistic drape calculations use measured textile-physical parameters, which the user must verify. The study also found that using the base layers worn in real life made its virtual fit more representative.

The avatar matters as much as the pattern and material. Use avatars that correspond to the body forms you want to review, and apply a consistent posture and styling condition when comparing sizes. Posture and body shape can affect fit measurements and garment alignment, as discussed in the 2024 fit-metrics paper. A consistent pose makes size-related changes easier to distinguish from posture-related changes. For a garment intended for layering, include the base layer in the review condition; for a close-to-body garment, review the appropriate avatar and fit settings for that use.

A clear review question, such as whether a larger-size hem shift follows the grade or the avatar, gives each comparison pass a defined purpose.

3. Pair the avatars with the graded sizes

Pair an appropriate avatar or avatar-size file with each grade size you plan to review. The same avatar applied to every size can help isolate pattern changes on a single body form. Size-matched avatars can help you see how a garment behaves as both the garment and the represented body change across the range. Choose the approach that answers your review question, and make the choice explicit in your notes.

The Pair Avatar for Grading Size help page says the avatar in the 3D window applies to all sizes by default. Review the pairing list before simulation so each size uses the avatar intended for that comparison pass.

Use this sequence:

1. Open the Grading tab and review the sizes included in the current grade.
2. Decide whether your review uses one common avatar across sizes or a size-specific avatar pairing. Base the decision on whether you are isolating pattern grading or assessing the garment against the body forms associated with the size run.
3. Add or assign the intended avatar or avatar-size file for each relevant grade size. CLO’s Pair Avatar instructions place the Pair 3D Form control beside Base Size for adding an avatar or avatar-size file.
4. Select Update on the Pair Avatar tab to refresh the size pairing list. CLO’s instructions say that, where two or more size groups are present, they are combined and displayed based on the Base Size.
5. Confirm the resulting size list and pairing before simulation. Check that the intended avatar appears with each size you will interpret.

The choice between a shared avatar and size-specific avatars changes what your comparison means. A shared avatar helps answer, “How does the graded pattern change on the same body form?” Size-specific avatars help answer, “How does each garment size sit on its corresponding body form?” Neither question replaces the other. If both are relevant to development, treat them as separate passes and label the results so a pattern change and a body-form change do not get mixed into one conclusion.

For example, suppose the base-size avatar shows a balanced shirt hem and the next two sizes are paired to larger avatars. If the front hem rises only in the larger-size views, you have located a size-and-avatar-specific result. A second pass using one common avatar across grade sizes can help show how much of the change follows the pattern. The comparison points to what to inspect next; the pattern pieces, avatar geometry, fabric inputs, and design ease provide the context for diagnosing why it happened.

4. Simulate each size under comparable conditions

After updating avatar pairings, select the checkbox beside each grade-size item you want to include and simulate it. Use the same intended fabric, garment construction, layer condition, and simulation setup across the sizes in a single comparison pass.

Consistency is what makes a difference easier to interpret. If one size uses a different fabric preset, avatar, layer, or pose, the visual change may reflect that condition along with the grading. Keep those inputs steady when the question is how the graded pattern changes. Change one condition at a time when investigating a suspected cause, and label that pass as a separate test.

CLO’s official Edit Simulation Properties guide explains that smaller time steps involve more calculations and slower simulation, and that more substeps can improve numerical accuracy and collision stability while taking longer. For a routine comparative review, a practical approach is to use the established simulation preset and settings across sizes, then make a documented adjustment if the result shows a specific collision or drape issue to investigate. The guide recommends default values for several collision settings and for gravity in ordinary use.

CLO’s Avatar Properties documentation describes Skin Offset as the distance between the avatar and garment. It lists a 3 mm default and says to lower the setting when fitting a garment accurately or creating a fitted garment; it also notes that lowering Skin Offset and garment Particle Distance slows simulation. Use the fit-stage setting that matches the review, then keep it consistent for comparable sizes. For a fitted garment review, the setting directly affects the gap between avatar and garment, so record any adjustment that distinguishes the test from your usual setup.

When simulation has completed, check the garment and avatar together at each size before generating the comparison. Look for a garment that has not settled into the intended drape, a part caught in an unexpected position, or a layer arrangement that differs from the other sizes. A map or side-by-side view makes these differences visible, but a simulation condition that differs across sizes should be addressed before treating the visual change as a grade effect.

5. Compare the simulated sizes together

Open CLO Grading Review after the size-specific simulated results are ready. CLO can display all graded garments and avatars together on one screen, which gives you a direct view of the whole run. Use its layout and full-screen options to make the sizes easy to inspect, then save an image when a record will help communicate a finding. CLO’s Grading Review instructions include Layout Setting, Full Screen, and Save Image controls for arranging and recording the comparison.

Use a repeatable viewing order so each size gets the same attention. Start at the smallest size, move through the base and intermediate sizes, and finish at the largest. Then scan back across the row to look for a shift that becomes apparent only as a sequence. Compare a front view for width and balance, a side view for posture and front-to-back relationship, and a back view for shoulder, armhole, and hem behavior. Keep camera angle, avatar pose, and view scale as stable as the review allows, so each difference remains easy to locate.

Use the design intent as your test for whether a difference matters. A coat is meant to have more ease and a different silhouette from a fitted knit top. A sleeve head may shift in a planned way as shoulder width changes. A pocket location may need to remain proportionally consistent, or it may follow a specific design landmark. Mark an observation as a potential issue when it departs from an approved specification, intended ease, known fit reference, or expected graded progression.

A practical comparison pass follows this order:

1. Scan the outline. Compare shoulder width, body length, overall width, sleeve length, and garment volume. Note the first size where the shape appears to change unexpectedly.
2. Check landmarks. Compare the neck, shoulder, armhole, waist, pocket, hem, and other design points. Look for misplaced lines, shifting seams, or an unexpected change in distance from a body landmark.
3. Read the garment’s hang. Check front-to-back balance, side seam direction, hem level, and major folds. In an asymmetrical design, compare the garment with its intended asymmetry.
4. Review the chest, waist, hip, upper arm, and other design-critical areas. Ask whether the visible space and movement allowance match the intended fit for that size.
5. Trace the change across adjacent sizes. A size-to-size jump that diverges from the approved progression marks the first transition for pattern review.
6. Record the exact location and size. Describe what changed and where, such as “front hem rises at size M, while adjacent sizes stay level.”

A 2024 study of fit models describes landmark alignment as a fit check: garment points such as the center-front waist should align with corresponding body landmarks, and garment landmark lines should align with body lines. The study in Fashion and Textiles explains that fit assessment also includes set, ease, and balance, so a single landmark check should sit alongside the overall silhouette and drape review.

When the endpoints look acceptable, inspect the intermediate sizes. This is where an uneven grade can be easier to spot. A neckline may move gradually through the run, then jump in one size; an armhole depth may change at a different rate from the adjacent shoulder point; a hem may rise or drop after a specific grade step. CLO’s one-screen view helps you identify where the change appears. Pattern inspection and specifications help determine whether the change is intended.

The comparison is most actionable when each note separates what you observed from what you suspect. “The back hem lifts at size L” is an observation. Record “back length grade appears too small” as a hypothesis beside the observed hem lift. Saving a view with the affected size and location keeps that distinction clear when the patternmaker reviews it.

6. Use Fit Maps to investigate a visible difference

A Fit Map gives you a focused view of tightness on the garment in CLO’s 3D Window. The CLO Garment Fit Maps documentation describes red as “Can’t Wear,” orange as “Very Tight,” and yellow as “Tight,” or slightly tight. Read the color at the affected garment area, then return to the garment view and compare it with the intended ease and pattern geometry.

The descriptions of the Strain, Stress, and Pressure Maps also come from CLO’s Garment Fit Maps documentation. Use the relevant map for the question you have. A tightness question starts with Fit Map; a stretch question can use Strain Map; pressure or stress questions call for those corresponding views.

CLO’s color or numeric display tells you where the selected measure appears; your approved ease, fabric behavior, design intent, and the pattern determine whether that signal calls for action. A knit bodice designed for negative ease can show close contact by design. The same region may need a different response in a woven shirt intended to hang away from the body. The 2024 paper on fit metrics notes that priorities depend on design and material, including the use of negative ease in stretch garments.

Investigate a map signal by checking it against the side-by-side views and pattern pieces. If a tight patch appears at the upper arm in only one size, inspect the armhole and sleeve relationship, the assigned avatar, and whether the same simulation and fabric conditions were used. If the same patch appears across all sizes, consider whether the intended fit or the underlying garment setup explains the signal. If the signal changes as you switch avatars, the body form is part of the result and should remain part of the interpretation.

Virtual fit research also supports combining the map with expert review. A study comparing virtual and physical fit states that reliable assessment depends on understanding both the simulation system and garment production. In its example of a size 50 men’s jacket, the physical garment was too tight to close or raise the arms, even though the virtual assessment had suggested adequate ease. The authors also emphasize checking measured textile properties and wearing the same base layers as in the actual scenario.

7. Turn a size-specific finding into a revision plan

A visible difference becomes useful when you connect it to a checkable cause. Sort each note into one of four investigation areas: avatar pairing, simulation conditions, graded pattern data, or garment geometry and design ease. Start with the condition most likely to explain the observation, then rerun the affected size or sizes under comparable conditions. This approach keeps a visual symptom separate from the adjustment you eventually choose.

Use this follow-up checklist:

• Avatar pairing: Record whether the pass uses one avatar across sizes or size-specific avatars, and note any pairing that differs from the plan.
• Simulation conditions: Record the fabric, layers, pose, and simulation settings used for the pass so a changed input remains visible in the comparison. Record the material settings for the intended textile and use them consistently across the graded sizes.
• Graded data: Compare the affected grade step with the base size and adjacent sizes. Compare grade points, seam lengths, and key finished measurements with the approved specification at the size where the visual change begins.
• Pattern geometry: Check the affected piece and neighboring seams for unexpected changes in width, length, curve, angle, or placement.
• Design intent: Confirm whether the area is meant to be close-fitting, relaxed, symmetrical, or deliberately shaped. A map color or fold can be expected for one design and a revision trigger for another.
• Repeat the review: Update the grading or avatar data after a change, simulate the relevant grade sizes again, and compare the new results with the same views and fit criteria.

Decide whether to adjust a grade rule or a local pattern shape by following the scope of the finding. A pattern issue that appears progressively across adjacent sizes may point toward a grade progression to inspect. A local issue confined to one size may call for checking that size’s grading data, avatar, or a size-specific pattern shape. A difference that appears across all sizes may lead you to review the base pattern, material settings, garment construction, or intended ease. Use the pattern and approved size specifications to confirm a cause before revising a grade rule or pattern shape.

A 2025 study on fit-adjustment frameworks separates structural pattern modifications, based on proportion, drop, and lateral posture, from detailed adjustments for local deviations such as shoulder slope or abdominal and hip protrusion. In that study, experts evaluated a particular set of 126 virtual 3D fit models, and the researchers later tested patterns with muslin prototypes on reconstructed body types. The study illustrates a useful sequence for complex fit findings: distinguish broad structural fit from local shape details, then use a physical prototype for the study’s real-fit validation. In its NS-type example, the 2025 fit-adjustment study added ease to the front panel and reduced the back panel to address forward tension and a raised front hem.

Choose the next validation step according to the finding’s impact. A small placement difference can be resolved against the measurement specification and pattern geometry. A tight area around movement or closure deserves a closer review of ease, garment construction, and the intended wearer’s movement. If fabric behavior, layering, or body variation drives the concern, use a physical sample or an appropriate fit review to check the assumptions in the virtual setup before sample approval. A review of prior studies comparing virtual and actual fitting found that, in most cases, 3D virtual fittings are not perfect substitutes for actual fittings, and discusses wearer-garment correlation, garment pressure, and ease as assessment parameters.

After revision, repeat the affected sizes and adjacent sizes, not only the single garment view where the issue first appeared. Rechecking neighbors shows whether the change corrected the local issue while preserving the grade progression. Save the comparison image and concise observation with the pattern revision record so the next reviewer can follow what changed and why.

FAQ

Can CLO show all graded sizes together?

Yes. CLO Grading Review displays garments and avatars for all graded sizes on one screen after simulated results are available for each grade size. Pair avatars, update the size data, and simulate the sizes you want to include.

Should I use one avatar or a different avatar for each size?

Use one avatar when you want to isolate how the graded pattern changes on the same body form. Use size-specific avatars when you want to review each garment against its corresponding body form.

Does a Fit Map decide whether a garment fits?

No. A Fit Map displays garment tightness, and its colors help locate areas for investigation. Compare that signal with the intended ease, fabric, pattern geometry, and garment appearance before deciding whether to revise.

Do simulated results replace a physical fit review?

No. A virtual review can help identify size-specific differences and focus the next check. Physical validation can still be useful when the decision depends on fabric behavior, movement, layering, or other conditions that need confirmation on a sample.

What should I inspect first when one size looks different?

Start by confirming that the size’s avatar and simulation inputs match the comparison pass, then compare its affected grade points and measurements with adjacent sizes and approved specifications. This separates a setup difference from a grade or pattern issue.

To review fit across a graded range, pair avatars deliberately, simulate each size consistently, and use the one-screen comparison to identify which differences need a pattern or fit investigation. Explore CLO.

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