Can it help with GDPR and privacy compliance?

Yes, the skill includes built-in guidance for setting up cookie consent banners, anonymizing IPs, and ensuring PII (Personally Identifiable Information) is not sent to tracking servers.

Does this skill write the tracking code for me?

Yes, it provides specific implementation patterns that allow Claude Code to insert tracking snippets and event triggers directly into your application's source code.

What metrics should I track at the early stage?

The skill focuses on the 5 Metrics That Matter: Signup rate, Activation rate, D7 retention, Free-to-paid conversion, and Monthly Recurring Revenue (MRR).

Which analytics tools does this skill support?

It primarily supports PostHog, Mixpanel, and Plausible, focusing on tools with generous free tiers specifically optimized for solo founders and early-stage startups.

SaaS Analytics & Instrumentation

Name: SaaS Analytics & Instrumentation
Author: whawkinsiv

bywhawkinsiv

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152

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分析と監視

Implements professional-grade event tracking, funnel analysis, and data-driven dashboards for SaaS applications.

This skill empowers solo founders to transform raw user data into actionable insights by automating the setup of analytics tools like PostHog and Mixpanel. It provides a structured framework for defining key performance indicators (KPIs), instrumenting conversion funnels, and enforcing event naming conventions during the development process. By integrating tracking logic at build time, it ensures high data quality and helps founders focus on critical metrics like activation rates and D7 retention without getting overwhelmed by data noise.

主な機能

01Standardized event naming conventions and property schemas

02Automated setup for PostHog, Plausible, and Mixpanel

03Privacy-first compliance including cookie banners and PII protection

04152 GitHub stars

05Core SaaS funnel instrumentation and drop-off visualization

06Pre-configured dashboards for tracking signup and activation rates

ユースケース

01Setting up initial product analytics for a pre-revenue SaaS launch

02Implementing privacy-compliant tracking to meet GDPR/CCPA requirements

03Debugging user drop-off points in a multi-step onboarding funnel

主な機能

01Standardized event naming conventions and property schemas

02Automated setup for PostHog, Plausible, and Mixpanel

03Privacy-first compliance including cookie banners and PII protection

04152 GitHub stars

05Core SaaS funnel instrumentation and drop-off visualization

06Pre-configured dashboards for tracking signup and activation rates

ユースケース

01Setting up initial product analytics for a pre-revenue SaaS launch

02Implementing privacy-compliant tracking to meet GDPR/CCPA requirements

03Debugging user drop-off points in a multi-step onboarding funnel