Lunair UX Audit: Speed Promises the Product Can't Keep

This is a short, self-directed teardown of Lunair — a publicly available product we picked ourselves, not a commissioned client audit.

Lunair · SaaS (web) · 4 findings

Lunair is a web AI tool that turns a text prompt into a structured explainer video, walking through script, storyboard and animation stages before assembling the final result.

Onix framed this teardown as a “Growth UX Audit,” taking its lead from a line in the report itself: “The core product is powerful, but the journey creates too much uncertainty.” Four findings follow below, in the sequence the report presented them.

Problem 01

The public product positioning emphasizes speed: “Generate … instantly”, storyboard “in seconds”, “one-click animation”, video “ready to share”. And in reality, the process takes considerably longer than the estimated times shown.

Why it matters

This creates an expectation gap. The user isn’t necessarily frustrated because AI generation takes time. They become frustrated when the system tells them it should be quick — and it isn’t.

Screenshot of Lunair’s homepage: the headline “Generate production-ready explainer videos. Instantly.” above a prompt panel (“Describe your video”) with an Add images option, a “20 seconds” duration badge, Watermark and Private toggles, and a “Modern Flat 2D” style selector — promising fast, one-click generation.

Improvement

Don’t communicate generation speed through optimistic static estimates. Set realistic expectations + communicate progress continuously.

Business impact

  • Less abandonment during first generation.
  • A successful first experience creates a stronger reason to return.

Problem 02

The flow introduces several intermediate checkpoints. The user can be asked to review and approve multiple stages. This gives users control — but it also creates a lot of decision points before they reach the actual outcome.

Why it matters

Every additional review gate increases the number of opportunities to stop, get distracted or become confused. This is particularly risky during first-time use.

Screenshot of Lunair’s generation-progress screen: a 16% progress ring over “Creating ‘Video Generation System Showcase’…”, with a six-stage pipeline (Writing Script, Narrating, Storyboarding, Illustrating, Animating, Assembling) each carrying its own checkpoint, plus notices reading “Some stages require review,” “You can explore other projects, but please keep this tab open,” and “Accidentally closed this tab? Resume from the project list.”

Improvement

AI automatically moves through the pipeline: Generate → Preview → Edit if needed. The default first-time experience should be Fast generation.

Business impact

  • Reduce time-to-value
  • Increase first-video completion
  • Improve activation

Problem 03

The UI shows short estimated times for individual generation stages, while the actual generation process can take considerably longer. This creates a gap between expected and perceived performance.

Screenshot of Lunair’s generation-progress screen — the same capture used for Problem 02 above — showing per-stage time estimates (Writing Script ~30 seconds, Narrating ~30 seconds, Storyboarding ~1 minute, Illustrating ~1 minute, Animating ~2 minutes, Assembling ~3 minutes) that this finding says run considerably longer in practice.

Improvement

Set realistic time ranges based on actual generation performance and communicate progress through meaningful milestones rather than optimistic estimates alone.

Business impact

  • Higher trust
  • Lower abandonment
  • Better first-video completion

Problem 04

When animation fails, the user sees “Animation Failed” but receives limited guidance about what caused the problem or what they should change. Multiple failed scenes can make the entire project feel broken.

Screenshot of Lunair’s “Review the Scenes” storyboard screen: one scene generated successfully (“Turn your idea into a complete video with AI.”) sits next to two scenes both showing a red “Animation Failed” card reading only “We couldn’t animate this scene. Make a small edit to it and we’ll try again” with an OK button — no explanation of what caused the failure.

Improvement

Make failures actionable. For example: Animation couldn’t be generated. Try simplifying this scene or removing the highlighted element. And add CTA as “Retry Scene”, “Edit Scene”.

Business impact

  • Higher recovery rate
  • Fewer abandoned projects
  • Greater trust in the AI product.

Executive summary

The core product is powerful, but the journey creates too much uncertainty. Lunair has a strong underlying concept: turn a simple prompt into a structured, production-ready video. However, after registration, the experience becomes much more complex:

Key opportunities

  1. Focus on trust — Make AI generation more predictable, transparent, and reliable.
  2. Focus on time-to-value — Reduce the time and effort required to experience Lunair’s core value.
  3. Focus on the overall experience — Create a smoother path from idea → creation → finished video → next project.
  4. Focus on business growth — Turn the first successful video into a stronger activation and conversion moment.

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