Data Backed Design
Ask a UI/UX or design-process question. Get one clear direction, the reasoning, cited evidence from named companies, and the tradeoffs.
Data from products you trust
Research topics
6 topics, each built from what named companies actually document and ship. Ask anything inside them.
Onboarding & Activation
Signup, setup, first meaningful action, checklists, and inviting teammates.
Coming soon
Design-to-Engineering Handoff
Specs, annotations, tokens, readiness and acceptance criteria, and bug triage.
Coming soon
Data Import, Export & Migration
Field mapping, previews, partial failures, rollback, and migration progress.
Coming soon
Notifications & Attention
Toast, banner, inbox, or email, plus severity, batching, and preferences.
Coming soon
Search & Command Palettes
Global versus scoped search, keyboard-first use, zero results, and recents.
Coming soon
Offboarding & Data Portability
Cancellation, deletion, retention windows, export before delete, and recovery.
Coming soon
Frequently asked questions
- Who is this for?
- Product designers, product managers, and the engineers who end up making the interface call. Ask it what you would ask a senior designer for clarity: where table filters belong, whether validation fires on blur or on submit, how to run a critique that does not turn into an approval meeting.
- Where does the evidence come from?
- 976 cards drawn from 45 published sources: the documentation of design systems like GOV.UK, Carbon, Polaris, Material and Primer, plus research from Nielsen Norman Group and Baymard Institute. Every quote is checked verbatim against the live page it came from, and every answer links back to it.
- How is this different from ChatGPT or Claude?
- A general model like ChatGPT or Claude answers from memory, and sounds equally sure whether or not it has a source. This one answers only from the cards retrieved for your question, cites each by name, and tells you the corpus has nothing on the subject instead of inventing a take. Where sources disagree it gives you the split and the count rather than a manufactured consensus.
Pricing
Annual
$120 / year
Everything in Monthly for $60 less a year. 300 questions a month.