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revenue-centric-design-principles

Apply 101 product-design, conversion, and behavioral-science principles to build SaaS products that convert, retain, and monetize

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reason-machines/design-skills
Letzte Quellaktivität
2. Juli 2026 um 20:29
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Englisch
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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
revenue-centric-design-principles
description
Apply 101 product-design, conversion, and behavioral-science principles to build SaaS products that convert, retain, and monetize
triggers
["how do I improve conversion on my landing page","what are best practices for SaaS onboarding","how can I reduce churn in my product","help me design a pricing page that converts","what behavioral science principles should I use","how do I apply revenue-centric design","show me how to optimize for activation","what's the right way to do free trials"]
# Revenue-Centric Design Principles > Skill by [ara.so](https://ara.so) — Design Skills collection. A distilled playbook of **101 product-design, conversion-rate optimization, and behavioral-science principles** for building SaaS and startup products that **convert, retain, and monetize**. Sourced from the work of Richard ([@richardrx](https://x.com/richardrx)) — ex-Volkswagen, ex-PayPal, ex-IBM product designer specializing in applied behavioral science and Revenue-Centric Design (RCD). **Core Philosophy:** Design should serve the user _and_ the business — value and revenue, not one or the other. ## Installation ```bash npx skills add heliocosta-dev/revenue-centric-design ``` Or manually: ```bash git clone https://github.com/heliocosta-dev/revenue-centric-design.git ~/.claude/skills/revenue-centric-design ``` Update to latest: ```bash npx skills update revenue-centric-design ``` ## ⚠️ Usage Boundary **Not for gambling, betting, or casino products.** This skill will decline requests related to: - Gambling/betting platforms - Casino products - Loot-box mechanics - Real-money gaming ## The 9 Core RCD Principles 1. **Neutrality is omission** — an interface that doesn't direct hurts conversion 2. **Who talks to everyone convinces no one** — no ICP → generic value → worse retention 3. **Value first, ask later** — proof must arrive before the user questions their choice 4. **Your promise is the size of your proof** — the market believes what you demonstrate, not claim 5. **Same competes on price, different on category** — no contrast, no margin 6. **Default is the decision you made for the user** — the initial state defines mass behavior 7. **Retention is built, not requested** — perceived loss retains more than promised benefit 8. **Expansion is born of usage** — upgrade at the moment of the limit, never by interruption 9. **Price is a filter** — pricing defines who enters, who stays, and who expands ## Knowledge Base Structure The skill organizes 101 principles across **10 themes**: | Theme | Count | When to Use | |-------|-------|-------------| | `conversion-and-landing-pages.md` | 16 | Landing page copy, CTAs, hero sections, social proof | | `onboarding-and-activation.md` | 19 | Empty states, aha moments, trial design, activation flows | | `revenue-centric-design.md` | 13 | Core RCD philosophy, design process, methodology | | `pricing-and-monetization.md` | 11 | Pricing pages, anchoring, decoy effect, upgrade flows | | `churn-and-retention.md` | 9 | Cancellation flows, expectation debt, retention hooks | | `behavioral-science-toolkit.md` | 7 | Loss aversion, peak-end rule, cognitive biases | | `product-strategy-and-features.md` | 7 | Feature adoption, Swiss Knife Index, attention economy | | `positioning-icp-and-gtm.md` | 8 | ICP definition, niche selection, PLG strategy | | `ai-era-differentiation.md` | 7 | Moats in AI era, commoditization, vibe-coding pitfalls | | `metrics-and-experimentation.md` | 4 | A/B testing, vanity metrics, churn→LTV math | ## How to Use This Skill ### Quick Reference Pattern When a user asks about a specific topic, reference the relevant theme file: ```python # Example: User asks about improving landing page conversion # → Load: references/conversion-and-landing-pages.md # → Find principles matching context (e.g., hero design, CTA placement) # → Return actionable advice with evidence from pathlib import Path def get_principles(theme: str) -> str: """Load principles from a specific theme.""" skill_dir = Path("~/.claude/skills/revenue-centric-design").expanduser() theme_file = skill_dir / "references" / f"{theme}.md" return theme_file.read_text() # Load conversion principles conversion_principles = get_principles("conversion-and-landing-pages") ``` ### Principle Structure Every principle follows this shape: ```markdown ## Principle Name **Apply when:** [Context where this principle applies] **The move:** [Concrete action to take] **Evidence:** [Proof, data, or reasoning] **Visual:** [Reference to diagram/example if applicable] **Source:** [Link to original post] ``` ### Common Usage Patterns #### 1. Landing Page Optimization ```python # User: "How do I write better hero copy?" # → Reference: conversion-and-landing-pages.md # → Principles: Eugene Schwartz awareness levels, promise-proof gap Key principles to apply: - Match copy to awareness level (problem-aware vs solution-aware) - Lead with outcome, not feature - Show proof before claim (testimonials above fold) - Use specificity over superlatives ("2.3× faster" > "blazing fast") ``` #### 2. Onboarding Design ```python # User: "How do I design a product tour?" # → Reference: onboarding-and-activation.md # → Principles: Time-to-Value, empty state design, activation metrics Key principles: - Don't build a tour — build to the aha moment - Empty states should teach through action, not explanation - Default the user into the happy path - Measure activation, not signup ``` #### 3. Pricing Page ```python # User: "Should I show three pricing tiers?" # → Reference: pricing-and-monetization.md # → Principles: Decoy effect, anchoring, Good-Better-Best (GBB) Key principles: - Use GBB (3 tiers) with middle tier highlighted - Position highest tier as anchor (makes middle feel reasonable) - Add decoy tier if conversion to top tier is weak - Trial with card > trial without card (qualified intent) ``` #### 4. Reducing Churn ```python # User: "Users are canceling after the trial" # → Reference: churn-and-retention.md # → Principles: Expectation debt, loss aversion, peak-end rule Key principles: - Audit expectation debt (promise vs delivered value) - Show what they'll lose, not what they'll save - Design cancellation flow to surface retention offers - Track leading indicators (usage depth, not breadth) ``` ## Working with Multiple Themes ```python from pathlib import Path from typing import List, Dict class RCDSkill: """Helper to query Revenue-Centric Design principles.""" def __init__(self): self.base_path = Path("~/.claude/skills/revenue-centric-design/references").expanduser() self.themes = { "conversion": "conversion-and-landing-pages.md", "onboarding": "onboarding-and-activation.md", "rcd": "revenue-centric-design.md", "pricing": "pricing-and-monetization.md", "churn": "churn-and-retention.md", "behavioral": "behavioral-science-toolkit.md", "product": "product-strategy-and-features.md", "positioning": "positioning-icp-and-gtm.md", "ai": "ai-era-differentiation.md", "metrics": "metrics-and-experimentation.md" } def load_theme(self, theme_key: str) -> str: """Load a specific theme's principles.""" if theme_key not in self.themes: raise ValueError(f"Unknown theme: {theme_key}") file_path = self.base_path / self.themes[theme_key] return file_path.read_text() def search_principles(self, query: str) -> List[str]: """Search across all themes for relevant principles.""" results = [] for theme_key in self.themes: content = self.load_theme(theme_key) if query.lower() in content.lower(): results.append(f"Found in {theme_key}: {self.themes[theme_key]}") return results # Usage skill = RCDSkill() # Load specific theme onboarding = skill.load_theme("onboarding") # Search across all themes results = skill.search_principles("social proof") ``` ## Key Frameworks Referenced ### Eugene Schwartz's Awareness Levels ``` Unaware → Problem-Aware → Solution-Aware → Product-Aware → Most Aware ``` - **Unaware:** Don't know they have the problem - **Problem-Aware:** Feel the pain, don't know solutions exist - **Solution-Aware:** Know solutions exist, comparing options - **Product-Aware:** Know your product, evaluating fit - **Most Aware:** Ready to buy, need final nudge **Application:** Match landing page copy to user's awareness level. ### Swiss Knife Index ``` Feature Count ÷ Adoption Rate = Bloat Score ``` Higher score = more features nobody uses. Fix by: 1. Kill unused features 2. Improve discoverability 3. Tie features to jobs-to-be-done ### Good-Better-Best (GBB) Pricing ``` [Basic] [Professional ⭐] [Enterprise] $X $3-4X $10X+ ``` - Basic: Functional anchor (makes middle feel reasonable) - Professional: Highlighted default (highest volume) - Enterprise: Aspiration tier (unlocks custom/support) ### Peak-End Rule Users remember: 1. The **peak** (most intense moment) 2. The **end** (final impression) Not the average. Design onboarding/offboarding around these moments. ## Configuration & Customization The skill references markdown files in `references/`. To extend: 1. **Add new principles:** Edit the relevant theme file in `references/` 2. **Add new themes:** Create new `.md` file, update `SKILL.md` theme table 3. **Update coverage:** Pull latest posts from [@richardrx](https://x.com/richardrx), distill into principle shape ### Principle Template ```markdown ## [Principle Name] **Apply when:** [specific context, e.g., "designing a pricing page for B2B SaaS"] **The move:** [concrete action, e.g., "Show annual discount as $ saved, not % off"] **Evidence:** [data/reasoning, e.g., "Loss aversion: $1,200/yr sounds cheaper than $100/mo"] **Visual:** [if applicable, reference to asset in assets/] **Source:** [Twitter/X post URL] ``` ## Common Troubleshooting ### "Principle seems outdated" **Check coverage date** in README.md. Skill covers posts up to **1 Jul 2026**. Newer insights may not be included. **Solution:** Run `npx skills update revenue-centric-design` to check for updates. ### "Principle contradicts another framework" RCD principles are **context-dependent**. Example: - "Value first, ask later" (don't gate trial) vs "Trial with card" (require payment upfront) **Resolution:** Trial-with-card applies when filtering for qualified intent (B2B, high ACV). Instant access applies for PLG/consumer products. ### "Can't find principle for my use case" **Cross-reference themes.** Many principles span multiple themes: - Social proof → `conversion-and-landing-pages.md` + `behavioral-science-toolkit.md` - Empty states → `onboarding-and-activation.md` + `product-strategy-and-features.md` **Search pattern:** ```python import re from pathlib import Path def find_principle(keyword: str): """Search all theme files for a keyword.""" refs_dir = Path("~/.claude/skills/revenue-centric-design/references").expanduser() for md_file in refs_dir.glob("*.md"): content = md_file.read_text() if re.search(keyword, content, re.IGNORECASE): print(f"Found in: {md_file.name}") # Extract surrounding context lines = content.split('\n') for i, line in enumerate(lines): if re.search(keyword, line, re.IGNORECASE): print('\n'.join(lines[max(0, i-3):i+4])) print("---") find_principle("decoy effect") ``` ## Practical Examples ### Example 1: Redesigning a SaaS Landing Page ```markdown User request: "Our landing page converts at 2%. How do I improve it?" Agent workflow: 1. Load: references/conversion-and-landing-pages.md 2. Apply principles: - Awareness level matching (Principle #3) - Promise-proof gap (Principle #1) - Social proof placement (Principle #8) Recommendations: - Audit copy against Eugene Schwartz levels (most visitors = solution-aware) - Move testimonials above fold (proof before promise) - Replace "Best-in-class" with specific outcome ("Ship 2× faster") - Add comparison table (differentiate from competitors) - Test CTA copy: "Start Free Trial" → "See Your Dashboard in 60s" Evidence: Specificity > superlatives (Principle #4), Time-to-Value focus (Principle #12) ``` ### Example 2: Fixing Trial-to-Paid Conversion ```markdown User request: "30% of trials activate, but only 5% convert to paid" Agent workflow: 1. Load: references/onboarding-and-activation.md 2. Load: references/churn-and-retention.md 3. Diagnose: High activation, low conversion = expectation debt Root cause analysis: - Activation metric may be wrong (signed up ≠ saw value) - Trial doesn't demonstrate paid-tier value - Upgrade prompt mistimed Recommendations: - Redefine activation: track depth, not breadth (Principle #OA-4) - Show paid features during trial (let them hit the limit, Principle #PM-8) - Add loss-aversion messaging at trial end (Principle #CR-3) - Audit promise vs delivered value (Principle #CR-1) Evidence: "Expansion is born of usage" (RCD Principle #8) ``` ### Example 3: Positioning for a New Market ```markdown User request: "We're pivoting from SMB to enterprise. How do we position?" Agent workflow: 1. Load: references/positioning-icp-and-gtm.md 2. Load: references/pricing-and-monetization.md Key shifts: - ICP redefinition (Principle #POS-1): Enterprise = different JTBD - Copy: outcome → ROI/risk reduction (Principle #CONV-3) - Pricing: Add enterprise tier, remove self-serve annual (Principle #PM-2) - Social proof: Replace quantity with logos (Principle #CONV-8) - CTAs: "Start Free Trial" → "Book a Demo" (qualified intent, Principle #PM-6)
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