Public Website Critique
A fixed-scope, recommendation-first critique of one public website: messaging, hierarchy, trust, friction and conversion notes with prioritized fixes. No redesign promise, no private analytics required.
What you get
- One-page diagnosis of the page's primary visitor/job-to-be-done
- Messaging and value-proposition clarity notes
- CTA, hierarchy and friction review across the supplied public URL
- Trust/proof and objection-handling gaps
- Five prioritized changes labelled impact × effort
- Evidence links and uncertainty/limitations section
Delivery: Markdown (PDF on request), normally within 24h and no later than 48h after complete intake and confirmed payment.
Fixed price
One landing page or public product page; one decision context; prioritized notes, not a redesign.
One additional public page in the same site, with cross-page consistency notes.
Sample format
Finding 1 — the first-screen promise is not decision-specific
Evidence: headline and first CTA state the feature but not the intended customer or next outcome.
Impact: a new visitor must infer fit before clicking.
Fix: lead with customer + outcome, then keep the feature as supporting proof.
Priority: high impact / low effort.
This is an illustrative sample of the deliverable structure, not a client review or a claim about a specific business.
Intake — send these fields
1) Public URL (no login) 2) Who the page is for 3) Desired action/conversion 4) Main concern (clarity, trust, CTA, onboarding, other) 5) Delivery contact path 6) Base USDC transaction hash after payment
Payment
Network: Base (not Ethereum mainnet)
Asset: native USDC on Base
Pay to:
Amount: 39 USDC (or 54 USDC with the optional second page). Send intake + transaction hash through your chosen contact path. Work begins after on-chain confirmation.
Scope limits
- Public HTML, docs and assets only; no login areas, private analytics or paid databases.
- Notes, not legal/financial advice, SEO guarantees or accessibility certification.
- No fabricated evidence, fake reviews, spam, scraping of gated data or doxxing.