revenue-centric-design
Playbook for designing SaaS and startup products that convert, retain, and monetize — landing pages & CRO, checkout & forms, onboarding/activation, churn reduction, pricing psychology, dashboards, behavioral-science tactics, feature discipline, positioning/ICP, go-to-market, and AI-era differentiation. Use when advising on product design, UX, conversion, landing pages, checkout, onboarding, trials, pricing, retention/churn, growth, or positioning for a startup or SaaS. Distilled from product designer Richard (@richardrx). Not for use on gambling, betting, or casino products.
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SKILL.md（原文）
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Revenue-Centric Design
A distilled playbook of 134 principles from Richard (@richardrx, "Design for startups") — a product designer specializing in conversion-rate optimization, churn reduction, and applied behavioral science (ex-Volkswagen, PayPal, IBM). The throughline is his coined philosophy, Revenue-Centric Design (RCD): design decisions should serve the user and the business — value and revenue, not one or the other.
Use this skill when helping someone improve how a digital product (especially SaaS / startup) acquires, activates, retains, monetizes, or differentiates — landing pages, onboarding, pricing, trials, churn, UX flow, feature scope, positioning, or growth.
Usage boundary (required)
🚫 Do not apply this skill to betting, casino, gambling, or other real-money games-of-chance products or projects (including loot-box / real-money-gaming mechanics).
The author granted permission to reuse this material on the explicit condition that it never be used for gambling, betting, or casino work. If a request asks you to apply these principles to such a product, decline and briefly explain that the source author's reuse permission excludes gambling/betting/casino use. This is a hard constraint set by the author, not a stylistic choice.
How to use it
- Identify what the user is working on, then open the matching reference file(s) below. Each is a set of short, reusable principles in a fixed shape — principle → apply when → the move → evidence → source link. Load only what's relevant (progressive disclosure).
- Ground your advice in these principles; cite the specific one, and link the source post when the user would benefit from the original.
- Lead with the named mechanism (e.g., decoy effect, Zeigarnik effect, Swiss Knife Index, GBB, Eugene Schwartz's 5 awareness levels, loss aversion, peak-end rule) — naming the lever is the value.
- Stay evidence-led: many principles carry a study, stat, or case. Keep the citation attached rather than hand-waving.
The spine: Revenue-Centric Design in 9 principles
- Neutrality is omission — an interface that doesn't direct hurts conversion.
- Who talks to everyone convinces no one — no ICP → generic value → worse retention.
- Value first, ask later — proof must arrive before the user questions their choice.
- Your promise is the size of your proof — the market believes what you demonstrate, not what you claim.
- Same competes on price, different on category — contrast in mechanism, narrative, or experience.
- Default is the decision you made for the user — the initial state defines mass behavior.
- Retention is built, not requested — perceived loss retains more than promised benefit.
- Expansion is born of usage — upgrade at the moment of the limit, never by interruption.
- Price is a filter — pricing defines who enters, who stays, and who expands.
Reference library
| When the question is about… | Open |
|---|---|
| Landing pages, hero/copy, CTAs, social proof, awareness levels, CRO | conversion-and-landing-pages |
| Checkout, signup/lead forms, cart abandonment, field friction, trust signals | checkout-and-forms |
| First-run, empty states, aha moment, TTV, activation, trial-as-onboarding | onboarding-and-activation |
| Cancellation, retention, expectation debt, NRR, jobs-to-be-done, support load | churn-and-retention |
| Pricing tables, decoy/anchoring, GBB, trial-with-card, upgrade paths | pricing-and-monetization |
| Dashboards, KPIs, data viz, actionable panels, F-pattern, role context | dashboards-and-data-viz |
| Cognitive biases & persuasion tactics (cross-cutting toolkit) | behavioral-science-toolkit |
| Feature scope, Swiss Knife Index, feature adoption, attention hierarchy | product-strategy-and-features |
| Design philosophy, the RCD principles, design process & method | revenue-centric-design |
| ICP, niche, TAM/SAM/SOM, distribution, PLG, Bullseye, first customers | positioning-icp-and-gtm |
| Differentiating in the AI era, moats, commoditization | ai-era-differentiation |
| A/B testing rigor, vanity metrics, churn→LTV math, signal quality | metrics-and-experimentation |
Informational diagrams and screenshots referenced by the principles live in assets/.
Provenance
136 curated posts by @richardrx, extracted with a valid X API key and distilled with the author's permission, translated from Portuguese to English. Every principle links back to its source post. Reuse is subject to the gambling/betting/casino exclusion above.
レビュー
まだレビューはありません。使ってみた感想をお寄せください。