#trust
17 pieces filed under “trust”.
Citation design: showing the AI's working
Citations are how AI answers earn belief. Inline sources, confidence without fake precision, expandable evidence, link rot, and how provenance UI measurably builds trust.
Disclosure patterns: telling users when a machine is speaking
AI disclosure that survives legal review and user testing: label placement, export watermarking, model transparency, and wording that informs, not alarms.
Shipping 'sometimes wrong': communicating AI features
Launch copy for features that are sometimes wrong: setting accuracy expectations, changelog phrasing, support macros, and the trust maths of underpromising deliberately.
AI triage for support: routing, not deflecting
AI support triage should route customers, not wall them off. Intent detection that errs toward humans, handoff packages, and the deflection metric trap.
Onboarding for AI features: sell the p50, not the demo
AI onboarding fails when it promises the demo's best-case output. Design first-run flows around median performance — calibrated examples, honest scope, progressive trust.
Social proof design without the cringe
Logo soup and 'trusted by 10,000 teams' burn the credibility they mean to build. Proof that persuades is specific, placed next to the claim, and defensible.
Designing AI features users can trust
Trust is an interface property, not a policy page. Citations, confidence, correction affordances and honest capability copy — how we design AI people rely on.
When the model is wrong: designing failure states for AI features
AI failure is a design state, not an exception. Wrong-answer UX, graceful degradation tiers, feedback that improves the system, and copy that keeps trust intact.
Bylines and author pages: small design, big trust
Named authors quietly outperform faceless content on every metric we track. The anatomy of a trustworthy byline and an author page worth visiting.
Agent UX: designing for software that acts on your behalf
When software acts instead of suggests, the interface becomes a control system: permission scopes, visible progress, real undo, and calibrated trust.
About pages that actually convince
Your About page is where buyers go to decide if they trust you. The story structure, proof layers and honesty rules that turn biography wallpaper into conviction.
Undo beats confirm: designing reversible software
Confirmation dialogs train users to click through danger. Undo-first design: timing, reversible architecture, soft deletes, and the trust dividend of forgiving software.
Preorders and backorders: UX for not-in-stock
Preorders and backorders without burning trust: dates as promises, deposit patterns, honest expectation-setting, split shipments, and copy that keeps inboxes quiet.
Timeouts, autosave and recovery: designing for interruption
Autosave contracts, session timeouts that warn without punishing, crash recovery and 'unsaved changes' guards that don't cry wolf: interruption-proof UX, end to end.
Payments and trust at the AU/NZ checkout
Cards, Afterpay, Zip, PayPal and Apple Pay — how to order payment methods, price the fees honestly, and earn trust without clip-art badges at the AU/NZ checkout.
Reviews that earn trust instead of renting it
A five-star wall of praise converts nobody. Review systems earn trust via solicitation timing, proud 3-stars and merchant replies that de-escalate.
Harbourlight: a donation flow that respects the giver
A coastal housing charity's donation flow rebuilt around honesty — plain fees, fair recurring asks, and receipts that read like a human wrote them.