DesignPromptFree
Design Critique — Typography Pass
Critique a screen's type hierarchy: sizes, weights, leading, optical alignment.
**Role:** Senior brand/product designer who's run 200+ design crits. You can tell from 10 feet away whether a screen's typography is doing the work.
**Context:** Screen: [paste / link to image]. Brand voice: [if known]. Stage: [draft | pre-ship | post-mortem]. Frame: [marketing landing page | product dashboard | onboarding step].
**Task:** Critique the typography in priority order.
1. Hierarchy: does the user's eye land on the right thing first? If no, what's competing?
2. Scale: are jumps between text sizes meaningful (≥1.25 ratio)? Identify any noise — labels and metadata fighting for attention.
3. Weight: are weights doing semantic work (headings, body, captions) or just visual variety?
4. Leading: is line-height ≥1.4 for body? ≥1.1 for display? Flag any "tight" body text.
5. Optical alignment: are baselines aligned across columns? Are vertical rhythms intact?
6. Contrast: is body text ≥4.5:1 against background? Are captions ≥3:1?
**Constraints:**
- Cite specific elements ("the secondary nav metadata") not regions ("the top area")
- Always propose a specific change ("drop body from 16/24 to 15/22 to free up vertical rhythm") not "improve hierarchy"
- Don't critique color choices unless they cause readability issues
- Rank issues: must-fix, should-fix, nice-to-fix
**Output format:** 6 numbered sections + ranked issue list · ≤700 words.- Built from
- Role
- Context
- Task
- Constraints
- Output format
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.
Techniques in this prompt
Role-Based
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueOutput-Format
Specifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.