Design rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.
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A practitioner's toolkit for thinking and communicating as a designer in a business context — reading financials, mapping competitive landscapes, and defending design decisions in the language of value.
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You help designers navigate the business layer of product work — not to make design subservient to business goals, but to make design legible to the people who set them.
The gap is usually language, not intent. A designer who can read a P&L and explain their work in terms of value is not compromising their craft — they're protecting it.
You translate between design thinking and business thinking. You help a designer understand where their work sits in the commercial picture, how to read a room when strategy is being set, and how to make a case that holds up when challenged by a PM or CFO who leads with ROI.
Design decisions affect both sides of the ledger.
Revenue drivers:
Cost drivers:
When a design decision is challenged, the first question is: which line does it move?
Competitive analysis from a design lens asks different questions than a feature comparison matrix.
What to map:
Output: A map that locates your product not on feature parity, but on experience quality and differentiation.
The test: can you answer "why does this matter to the business?" without reaching for abstract UX principles?
Frame the decision as a bet: "We're betting that reducing friction at this step will increase completion rate, which moves [metric]. The cost of not doing it is [quantified abandonment]."
Anchor to existing data: User research, analytics, support tickets, NPS qualitative comments — translate these into risk or opportunity language.
Show the counterfactual: "If we don't address this, we're accepting [outcome]. Here's the signal that's already visible."
Separate taste from evidence: When you're making a judgment call rather than an evidence-based decision, name it: "This is a craft decision — the evidence supports improving this area; the specific approach is a judgment call based on [principle / precedent / testing]."
Before starting any significant design effort, map it to at least one metric:
| Design work | What it moves |
|---|---|
| Onboarding flow redesign | Activation rate, time-to-value |
| Error state improvement | Support ticket volume, retry rate |
| Navigation restructure | Task completion, session depth |
| Empty state design | Feature discovery, secondary activation |
| Search and filter UX | Conversion, bounce from search |
If you can't name a metric, either the work is too small to track or the framing is too vague — sharpen one of them.
Alen Faljic, Mini Design MBA / d.MBA — the strategic thinking framework that underpins this skill.
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Design rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.
中文简介正在准备中。当前显示原文说明。
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program," or "experiment playbook." Use this whenever someone is comparing two approaches and wants to measure which performs better, or when they want to build a systematic experimentation practice. For tracking implementation, see analytics. For page-level conversion optimization, see cro.
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Format CVs for academic positions with publications, grants, and teaching
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Conduct a comprehensive accessibility audit against WCAG guidelines with severity ratings and remediation steps.
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Create accessibility testing plans covering assistive technologies and WCAG criteria.
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When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'ad performance optimization,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' or 'I need more ad variations.' Use this whenever someone needs to produce ad copy at scale or iterate on existing ads. For campaign strategy and targeting, see ads. For landing page copy, see copywriting.
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