TL;DR

A gait analysis records how a person loads and moves the foot. It captures pressure distribution, foot type (pronated, supinated or neutral), the phases of stance and the structure of the foot. It usually comes before a custom insole: those data show what the insole should support and translate into design parameters such as arch support, posting, skives or heel cup depth. The analysis is carried out by a professional in the clinic with their own equipment. Ergono3D does not perform the analysis: it is the design step that uses its data. It is a design tool, not a diagnostic or treatment tool; clinical judgement belongs to the health professional.

Key takeaways

  • It measures the foot in motion, not a size. A gait analysis starts from how one specific foot behaves under load, not from a category or a shoe size.
  • It collects four kinds of data. Pressure distribution, foot type, stance phases and foot structure (high or low arch, asymmetries) describe that specific foot.
  • The data become parameters. Marked pronation is often addressed with more medial arch support and sometimes rearfoot posting or a skive; high forefoot pressure with zoned offloading; an unstable heel with a deeper heel cup.
  • The analysis is the input to parametric design. It turns the assessment into concrete geometry decisions that can then be adjusted and reprinted.
  • Roles are clear. The analysis, biomechanical assessment and clinical judgement belong to the professional; Ergono3D does not perform the analysis or diagnose.
  • Ergono3D is a design tool. It uses the analysis data to generate the geometry and export a printable STL; it is not a diagnostic or treatment tool.

Designing good custom insoles starts with understanding the foot that will wear them. A gait analysis is the clinical tool that provides that information: instead of starting from a size or a category, it starts from how that specific foot behaves under load and in motion. Those data then become the input to the design.

01 · Definition

What is a gait analysis?

A gait analysis records how the foot lands and how load is distributed when standing, walking or running. It is usually done in a podiatry or biomechanics clinic with pressure platforms, instrumented walkways or treadmills with cameras.

The term overlaps with "foot pressure analysis" and "biomechanical assessment". In practice, a foot pressure analysis focuses on plantar pressure and contact; a full gait analysis also looks at how the foot and leg move through the whole stride. Both aim at the same thing: understanding how the foot behaves in order to make decisions — including the design of an insole.

02 · Measurement

What a gait analysis measures

A gait analysis usually collects several key data points:

  • Pressure distribution: which areas carry the most load — heel, forefoot and metatarsal heads.
  • Foot type: whether the foot tends to pronate (roll inwards), supinate (roll outwards) or is neutral.
  • Stance phases: how contact moves from heel to toe during the step.
  • Foot structure: high arch (cavus foot), low arch (flat foot) and asymmetries between the feet.

This information is what separates a specific foot from the "average foot" pre-made insoles are built for. It is also the basis of why custom insoles matter.

03 · Translation

From data to insole: how findings become design

The value of the analysis is not only in measuring but in turning the data into design decisions. Each finding maps to an insole parameter:

  • Marked pronation is often addressed with more medial arch support and sometimes rearfoot posting or a skive.
  • High pressure under the forefoot often calls for offloading or zoned stiffness.
  • An unstable or painful heel often calls for a deeper heel cup.

So the analysis becomes the input to a parametric design. Each of these parameters is explained in insole design parameters.

Gait analysis and insoles: how they fit together

First the analysis in the clinic, then the insole design. The analysis measures; the insole responds. With a good analysis, each finding — pronation, pressures, heel cup — maps directly to a parameter of the custom insole, so the analysis and the insole are not two separate services but one workflow, from foot data to printable geometry. See design and STL pricing for the cost of each design.

04 · Design

From analysis to design with Ergono3D

To be clear about roles: the analysis is carried out by the professional in the clinic, with their own equipment. Ergono3D does not perform it: it is the design step that uses its data. From guided inputs — which can include the analysis findings — you adjust the parameters (arch, heel cup, posting, skive, flange), review the geometry in 3D and export an STL ready to print in TPU.

In other words, the analysis is not replaced but put to use: from foot data to a custom insole, without CAD or a scanner, ready to produce in your clinic.

Ergono3D is a design tool, not a diagnostic or treatment tool: the gait analysis, biomechanical assessment and clinical judgement belong to the health professional.

Design insoles from your gait analysis →
FAQ

Frequently asked questions about gait analysis.

Can a gait analysis be used to design custom insoles?

Yes — it is one of its main uses. Its data (pressures, foot type, foot structure) show what the insole should support or correct and translate into specific parameters such as arch height, heel cup or posting. That is why it usually comes before designing a custom insole.

What is the difference between a foot pressure analysis and a gait analysis?

They overlap. A foot pressure analysis focuses on how pressure is distributed and how the foot contacts the ground standing and walking. A gait analysis also looks at how the foot and leg move through the whole stride. Many clinics combine both in one biomechanical assessment, and both can inform custom insole design.

Do I need a gait analysis to design a custom insole?

It provides valuable data, especially in complex cases, but it is not always essential: guided inputs can generate an insole from measurements and structured observations. The decision depends on the clinical case; the better the starting data, the better the fit.

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