saas launch audit

仓库: b-open-io/prompts
安装量: 39
排名: #18181

安装

npx skills add https://github.com/b-open-io/prompts --skill SaaS

A comprehensive, repeatable audit workflow for SaaS products approaching launch. Provides clear PASS/FAIL states with single actionable next steps.

Purpose

Validate launch readiness across 10 critical areas: validation, pricing, payments, AI economics, discovery, competitors, social presence, legal, trust infrastructure, and launch day operations. Incorporates 2026-specific guidance on outcome-based pricing, AI visibility optimization, and modern SaaS metrics.

Workflow Overview

  • Discovery Survey - Gather project context (product type, audience, stage)

  • Interactive Verification - Actively verify items using browser tools and web queries

  • PASS/FAIL Report - Output each item with status and next step for failures

  • Iterate - Re-run audit after fixes until all items pass

Discovery Survey

Before running the checklist, gather project context. Use AskUserQuestion:

Questions to ask:

  • Product type: B2B SaaS, B2C, Developer Tool, Marketplace, or Other?

  • Target audience/ICP: Who is the primary customer?

  • Current stage: Pre-MVP, Beta/Early Access, or Ready to Launch?

  • Does the product use AI/ML that affects unit economics?

  • Primary domain/URL to audit (if live)

Platform recommendations based on product type:

  • Developer Tools: GitHub, Hacker News, Reddit, X, Dev.to

  • B2B SaaS: LinkedIn, Product Hunt, G2/Capterra

  • B2C/Consumer: X, TikTok, Instagram, YouTube

  • Indie Hacker: Product Hunt, Indie Hackers, X, Reddit

Audit Checklist (10 Sections)

1. Pre-Launch Validation

| 50+ discovery calls completed | Ask user

| Pre-payment secured from 3+ customers | Ask user

| Problem validated (not just interest) | Ask user for evidence

| Manual service delivery tested | Ask user

2. Pricing Strategy

Consult references/pricing-2026.md for detailed guidance.

| Pricing model selected (outcome/usage/hybrid) | Ask user, verify NOT per-seat only

| Value metric identified | Ask user what outcome they charge for

| 3-4 tiers with clear differentiation | Browser: check pricing page

| Annual contract incentives configured | Browser: verify discount shown

| Pricing page live and scannable | Browser: visual check

3. Payment Integration

Consult references/payment-verification.md for Stripe go-live checklist.

| Stripe account activated (live keys) | Ask user to confirm

| Test transactions successful | Ask user

| Webhook endpoints configured | Ask about endpoint URL

| Billing portal accessible | Browser: test billing portal link

| Tax/KYC requirements met | Ask user

4. AI Economics (if applicable)

Consult references/metrics-2026.md for AI-first metrics.

| Inference costs calculated per action | Ask user for cost breakdown

| AI costs < 30% of revenue | Calculate: inference cost / revenue per user

| Gross margin > 50% (AI-adjusted) | Verify: traditional SaaS 80-90%, AI-first 50-65%

| Margin protection strategy exists | Ask about usage caps, tiering

| Cost monitoring/alerts configured | Ask user

Note: IER (Inference Efficiency Ratio) is a useful internal metric but not an industry standard. Target AI costs < 30% of revenue as the primary benchmark.

5. GEO & AI Discovery

Consult references/geo-visibility.md for optimization guide.

| AI visibility audit completed | WebSearch: query ChatGPT/Perplexity for brand

| Structured data/FAQ schema | Browser: check page source

| Content uses authoritative language | Browser: check for excessive hedging

| SSR/pre-rendering for LLM crawlers | Ask about rendering strategy

| Server response time < 200ms | Run scripts/tech-audit.sh

| Core Web Vitals passing (LCP < 2.5s, INP ≤ 200ms, CLS < 0.1) | Check PageSpeed Insights

2026 Fact: AI agents account for ~33% of organic search activity. Only 12% of companies appear across ChatGPT, Perplexity, and Claude.

6. Competitor Intelligence

Run scripts/competitor-visibility.sh for automated checks.

| 3+ direct competitors identified | Ask user to list

| Competitor pricing documented | WebSearch: research each competitor

| Differentiation statement written | Ask user for positioning

| AI visibility comparison done | WebSearch: query "[category] tools"

| Citation sentiment analyzed | Review AI responses for tone

7. Social Media & Launch Prep

Consult references/launch-tactics.md and references/platform-guides.md.

| Primary platform profiles created | Browser: check each platform

| LinkedIn founder profile optimized | Browser: review profile

| X/Twitter presence established | Browser: check account

| Product Hunt profile ready | Browser: check PH profile

| 400+ PH supporters lined up | Ask user about DM outreach (warm contacts preferred)

| Launch email sequence drafted | Ask user

| Content calendar for 30 days | Ask user

| "Magic Triangle" ready | Ask about founder content + outreach + retargeting

| Privacy Policy live | Browser: check /privacy or footer link

| Terms of Service live | Browser: check /terms or footer link

| Cookie consent banner | Browser: verify banner appears

| DPA template ready (if B2B) | Ask user

9. Trust Infrastructure

Consult references/trust-infrastructure.md for Trust-as-a-Product guide.

| Auth system production-ready | Ask user about auth provider

| Audit logging enabled | Ask user

| Error tracking configured | Ask about Sentry or similar

| Uptime monitoring active | Ask user

| Security headers configured | Run scripts/tech-audit.sh

10. Launch Day Readiness

| Support channels operational | Browser: check support links

| FAQ/Knowledge base published | Browser: check /help or /docs

| Analytics tracking verified | Ask about GA4, PostHog setup

| Team roles assigned | Ask user

| Rollback plan documented | Ask user

Output Format

Report each item as:

[PASS] Item description

or

[FAIL] Item description
  → Next step: Single actionable instruction

Example output:

## Pricing Strategy

[PASS] Pricing model selected (usage-based)
[PASS] Value metric identified (API calls)
[FAIL] 3-4 tiers with clear differentiation
  → Next step: Add a middle tier between Free and Pro to capture mid-market
[PASS] Annual contract incentives configured (20% discount)
[FAIL] Pricing page not found
  → Next step: Create /pricing page with tier comparison table

Verification Tools

Browser Verification

Use mcp__claude-in-chrome__* tools to:

  • Navigate to pricing, terms, privacy pages

  • Check for cookie banners, structured data

  • Verify billing portal accessibility

  • Review social media profiles

Web Search Verification

Use WebSearch to:

  • Query AI assistants for brand visibility

  • Research competitor pricing

  • Check product mentions and sentiment

Script Verification

Use provided scripts:

  • scripts/tech-audit.sh - Core Web Vitals, SSL, security headers

  • scripts/competitor-visibility.sh - AI visibility comparison

Reference Files

Consult these for detailed guidance:

  • references/pricing-2026.md - Outcome/usage-based pricing strategies

  • references/payment-verification.md - Stripe go-live checklist

  • references/geo-visibility.md - GEO/AI discovery optimization

  • references/launch-tactics.md - Product Hunt and social strategies

  • references/trust-infrastructure.md - Trust-as-a-Product requirements

  • references/metrics-2026.md - AI-first SaaS metrics (gross margins, cost optimization)

  • references/platform-guides.md - Platform-specific launch guides

Completion Criteria

The audit is complete when:

  • All 10 sections have been evaluated

  • Each item shows PASS or FAIL with next step

  • User has a prioritized list of fixes

Re-run the audit after implementing fixes until all critical items pass.

Key 2026 Insights (Research-Verified)

Embedded throughout this audit:

  • Pricing: Per-seat is declining (126% YoY growth in credit models). Use outcome-based or hybrid models. Note: pendulum swinging back toward simplicity.

  • AI Economics: Target AI costs < 30% of revenue. Traditional SaaS: 80-90% margins. AI-first: 50-65% margins.

  • Discovery: AI agents now ~33% of organic search. Only 12% of companies appear across all AI platforms. Server response < 200ms critical.

  • Trust: Trust-as-a-Product is a differentiator, not just compliance.

  • Product Hunt: 26.5% of launches get 500-1000 users. 49% fail by relying on PH alone. Warm outreach > cold DMs.

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