Check your current prompt interface
Mark whether your interface shows example prompts, input constraints or guidance, a preview of expected output, and a designed empty/first-use state.
PROMPT-UX READINESS SCORE
Prompt UX
Enter which prompt-interface elements are designed and get a prompt-UX-readiness score so users aren't left facing a blank prompt box.
- Uses your inputs in a transparent calculation
- Instant result with practical next steps
- No signup required
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Build your result
Complete every field. The result updates only when you choose Calculate.
How it works
We calculate a readiness score
Your score is the share of the four guidance elements that are present, out of 100.
Get the specific elements to add
Missing elements are listed by name, prioritizing the ones most responsible for users staring at a blank prompt box and not knowing what to type.
Continue learning: Designing AI prompts for MVP features · MVP onboarding UI for the first session
Frequently asked questions
Does Prompt UX design the prompt interface for me?
No. Prompt UX computes a readiness score from the yes/no answers you give about your current interface — it does not generate UI designs and does not run a real AI/LLM generation step.
Why do users struggle with a blank prompt box?
Most users have no mental model for what a good prompt looks like or what the system can actually do. Without examples, constraints, or a sense of the expected output, they either type something too vague or abandon the feature entirely.
What is a good "expected-output preview"?
A sample result, a short description of the output format, or a visual placeholder that shows what a successful response looks like before the user commits to typing a prompt.
Is this the same as AIStateKit?
No — AIStateKit scores whether your interface handles the AI-interaction states that occur after a prompt is submitted (generating, retrying, failed, etc.). Prompt UX scores whether the interface guides the user before and while they are writing the prompt itself. Most AI features need both.
My score is low — where should I start?
Add 2-3 example prompts relevant to your product first — it is usually the single highest-impact fix, since it gives users a concrete starting point instead of an abstract blank field.
How We Compare
| Feature | MVPHub | Figma | Whimsical |
|---|---|---|---|
| Prompt-UX-readiness score from your own audit | Included | Not included | Not included |
| Named list of missing guidance elements | Included | Not included | Not included |
| Design the actual prompt interface | Not included | Included | Included |
| Real user testing of AI feature comprehension | Not included | Not included | Not included |
Figma and Whimsical are where the prompt interface itself actually gets designed. Prompt UX runs before that — a quick checklist to confirm the interface will guide a first-time user instead of leaving them facing an empty box.
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