Ronald Aveling
Designer with a soft spot for systems and structured content. Knows the difference between tofu and tempeh. Makes a damn good brunch.
Specialties
- Product Design & Engineering,
- Training & Mentorship,
- UX & UI Design,
- Content Management Systems,
- Figma
Find Ronald on
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Designing beyond the median user
For seventy years software has shipped one shape to every user. The confluence of design systems, headless platforms, and agent-native exposure has coalesced to make that constraint optional. A retrospective of the median-user problem and the new architectural horizon now opening.
· 10 min readarticle
A behavioural framework for the monsters in your team
The AI in Design 2026 report captures a profession mid-mutation. The "Frankenjob" label the coverage put on it misses the seam where the real work happens.
· 5 min readthinkmill method
DACI
Created by Atlassian – DACI is a framework that helps delivery teams make effective and efficient group decisions.
thinkmill method
Sparring
Sparring is a way to get prompt and candid feedback on your work from others in your team. Use it to battle test your ideas by exposing them to differing points of view, and/or get clarity on gaps you can’t fill on your own.
thinkmill method
Activity Mapping
Activity mapping is a way to dynamically capture, and work on, product requirements in a format that’s more useful than a static document.
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Shared understanding: why it’s important and how to fast-track it in your project
Tips and tricks to get your team’s collective intelligence buzzing in product development.
· 8 min read
More posts from other Thinkmill voices
Optimise Your Context, Not Your Prompts
AI makes better engineering decisions when it can understand a project’s architecture, conventions and shared knowledge. Making that context clear and discoverable helps it produce software that fits the wider system.
· 5 min readWhere AI Actually Helps Quality Engineering
AI-assisted QA is not just about generating tests faster. By carrying product context through planning, development, review and release, AI can shorten feedback loops, surface risks earlier and help teams make better decisions, provided its output is supported by clear specifications, guardrails and human judgement.
· 3 min readWhy Great Engineering Still Wins
AI can write code faster than ever, but coding was never the hardest part. The organisations seeing the biggest gains are investing in engineering fundamentals that help both people and AI make better decisions.
· 3 min read
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