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analytics

Design analytics systems measuring SaaS user behavior and business performance.

232|43|Updated Jan 13, 2026
Search Tags:#analytics#event tracking#retention#product metrics#posthog#funnels#privacy compliance
One-click install
npx skills add https://github.com/whawkinsiv/solo-founder-skills --skill analytics-whawkinsiv
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analytics
Source: https://github.com/whawkinsiv/solo-founder-skills/tree/main/skills/analytics
Command: npx skills add https://github.com/whawkinsiv/solo-founder-skills --skill analytics-whawkinsiv

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps founders avoid flying blind by designing focused analytics systems that measure user behavior, product adoption, conversion, retention, and revenue.

Core Features & Use Cases

  • Analytics Tool Selection: Choose practical tools such as PostHog, Plausible, Mixpanel, or Amplitude based on the product stage and reporting needs.
  • Event Tracking Design: Define consistent event names, properties, funnel steps, and user-level attributes for reliable product analytics.
  • Metrics and Privacy Planning: Build dashboards around activation, retention, conversion, MRR, and feature adoption while addressing consent, anonymization, opt-outs, and data quality.
  • Use Case: Instrument a SaaS onboarding funnel from landing page visit through signup, activation, retention, and subscription so the founder can identify the largest conversion opportunity.

Quick Start

Use the analytics skill to design and instrument the core funnel for my SaaS, including event names, event properties, key metrics, dashboard charts, and privacy requirements.

Frequently Asked Questions about analytics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design event tracking for a SaaS onboarding funnel?▼

Design SaaS onboarding event tracking by defining consistent event names, properties, and funnel steps from landing page visit through signup, activation, and subscription. This establishes reliable product analytics to identify conversion opportunities.

What's the best way to measure user retention and feature adoption?▼

Measure user retention and feature adoption by building dashboards around activation, conversion, and MRR metrics. This requires consistent event schemas and contextual properties to track user behavior accurately.

How do I choose between PostHog, Mixpanel, and Amplitude for product analytics?▼

Choose product analytics tools like PostHog, Plausible, Mixpanel, or Amplitude based on your product stage and reporting needs. This ensures you select a platform that matches your data quality and dashboard requirements.

How do I build analytics dashboards that respect privacy compliance and consent?▼

Build privacy-compliant analytics dashboards by addressing consent, anonymization, user opt-outs, and data-quality verification. This ensures your product metrics respect privacy controls while tracking activation and retention.

When do I need to verify data quality in event tracking schemas?▼

Verify data quality in event tracking schemas when designing focused analytics systems for SaaS user behavior. This requires consistent event schemas and contextual properties to ensure actionable dashboard outputs.

Can I use this approach for pre-launch data strategy and revenue reporting?▼

Yes, this approach applies to pre-launch or post-launch data strategy, including revenue reporting and conversion optimization. It designs focused analytics systems that measure business performance and product adoption.

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