Now in betaProgram-authorized access

StuntIQ platform

AI-powered cheer stunt analysis built for the real practice-to-review loop.

The Figma Make direction is strongest when StuntIQ behaves like a product shell instead of a generic SaaS site. This landing page now mirrors that: capture-aware intake, visible AI processing, and coach-led review that stays connected from first clip to final follow-up.

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Authorized uploadAI-assisted analysisCoach-led reviewMobile capture

Closed-beta postureManaged participation from approved programs.

Practice capturePhone and tablet flows fit real gym-side recording.

Operator visibilityQueue state, preview state, and follow-up stay legible.

Customer workspaceUpload to coach review

Closed Beta

Queued03

Processing06

Ready18

Processing timelineCapture, upload, preview, review

Attempt 08Extension · 0:08

Preview ready

Attempt 09Liberty · 0:12

Processing

Attempt 10Basket toss · 0:06

Uploading

SkillGrade LabsDarker, cleaner, more operational by design.

Responsible AIHuman review remains the source of truth.

How it works

Three concrete steps carried over from the Figma workflow.

The Make file describes a full StuntIQ journey, not just a splash page. The public experience now introduces the same sequence the product supports: capture or upload, visible processing, and review on the same surface.

Capture or upload with the right context

Authorized staff can start from a mobile-friendly practice flow or a structured upload route instead of scattered clips and text threads.

StuntIQ workflow

Track AI processing without losing visibility

Queued, uploading, processing, and preview-ready states stay legible so operators and coaches always know what happens next.

StuntIQ workflow

Move into coach-led review on the same surface

Results, history, and follow-up stay attached to the clip so the review loop feels like one product, not a handoff chain.

StuntIQ workflow

Why teams join

Built to reduce friction across the stunt review cycle.

AI assists coaching workflows, but the real product value is operational: fewer broken handoffs, clearer status visibility, and a system that feels aligned between public, customer, and admin surfaces.

Cleaner intakeAuthorization, consent expectations, and upload context start together instead of getting reconstructed later.

Faster follow-throughOperators can see what is queued, what is processing, what failed, and what is ready for review without digging.

Better archive qualityUploads, previews, results, and history stay attached over time so the archive becomes useful instead of fragmented.

Human reviewQualified staff stay responsible.

AI supports analysis and triage, but final interpretation and athlete-safety judgment remain with people.

Capture readyPractice workflows are part of the platform.

The Figma Make flow pushed mobile recording, upload queue visibility, and instant preview into the product instead of leaving them as afterthoughts.

OperationsInternal and customer surfaces feel related.

The same design language carries from the landing page into admin, job monitoring, and customer history views.

Closed betaAccess is managed, not open self-serve.

Program-authorized participation, consent expectations, and data-use clarity are explicit throughout the experience.

Practice capture

The Figma mobile flow is now reflected in the marketing story.

StuntIQ is not just for after-the-fact uploads. The Make file pushed hard on coaches recording attempts during practice, tagging quickly, and seeing previews while the next clip is already moving. That direction is preserved here without inventing new routes.

Explore Capture Flow View Product Pages

Session summaryMorning practice queue

Live preview

Recorded08

Uploaded06

Ready02

Attempt 08Extension · 0:08

Preview ready

Attempt 09Liberty · 0:12

Processing

Attempt 10Basket toss · 0:06

Uploading

Record another stunt attempt to compare performance while uploads continue in the background.

Beta and data use

Participation is structured, explicit, and limited.

StuntIQ is in closed beta. Participating programs may upload videos to evaluate the platform, and uploaded footage may be used internally to improve system quality during beta. Participation requires appropriate authority and consent.

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Launch with intent

Ready to evaluate StuntIQ with your program?

This implementation keeps the current routes and app connections in place, then pulls the visual direction back toward the Figma Make source.

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