Analytics Tool Selector for Indie SaaS

Free v1.0.0 4 views

Get a personalized analytics tool recommendation based on your SaaS stage, technical capacity, budget, and privacy requirements with setup guide and cost projections.

What You Get

Cuts through analytics tool decision paralysis by providing a context-specific recommendation with executable setup guide, cost projections through 5x scale, and migration path from current tool.

The Problem

Non-technical bootstrapped founders spend 10-20 hours researching analytics tools, get overwhelmed by enterprise features they don't need, and often either abandon the tool entirely or choose the wrong one for their stage. The landscape is confusing: Mixpanel vs Amplitude vs PostHog vs Plausible vs GA4, each with different pricing models (event-based, MAU-based, flat-rate), different feature sets, and different technical requirements. Founders ask: 'Which tool won't bankrupt me at scale?' 'Do I need self-hosting?' 'Will I hit pricing traps?' Without context-specific guidance, they either overpay for features they don't use or underpay for tools that can't answer their key questions.

The Solution

This skill transforms the overwhelming analytics tool comparison into a single clear recommendation. You provide: product stage (MAU, MRR), technical capacity, budget, privacy requirements, and key tracking questions. The skill researches current 2025 pricing for 8 major tools (Plausible, PostHog, Mixpanel, Amplitude, June, Google Analytics, Fathom, Heap), scores each across 8 dimensions weighted for your specific context (setup complexity, cost, privacy compliance, feature fit, learning curve, pricing predictability, self-hosting option, B2B SaaS optimization), and delivers ONE recommendation with detailed justification, step-by-step setup guide executable in under 1 hour, tracking plan template for your key metrics, cost projections at 2x and 5x scale, 'why not other tools' analysis addressing top alternatives, and migration path from current tool if applicable.

How It Works

  1. 1 Gather context: product details, current stage (MAU, MRR), team composition, technical capacity, budget range, privacy requirements, current tool pain, key tracking questions
  2. 2 Research current tool landscape via WebSearch: verify pricing tiers and limits, recent feature updates, community sentiment for use case, privacy/compliance certifications
  3. 3 Score tools across 8 dimensions for user context: setup complexity vs technical capacity, cost vs budget and scale, privacy compliance vs requirements, feature fit vs key questions, learning curve vs bandwidth, pricing predictability as they scale, self-hosting option if relevant, B2B SaaS optimization if B2B
  4. 4 Generate recommendation structure: profile summary showing matching, primary recommendation with reasoning, setup guide with copy/paste code, tracking plan for key questions, cost projection at 2x and 5x scale, why not other tools section, migration path from current tool
  5. 5 Verify and deliver: confirm pricing is current, verify technical requirements match capacity, check privacy claims against tool docs, ensure setup guide is executable

What You'll Need

  • Product description (what your SaaS does)
  • Current stage (MAU and MRR)
  • Team composition and technical capacity
  • Monthly analytics budget range
  • Privacy requirements (EU customers, data residency, cookie consent)
  • Current pain with existing analytics tool
  • Key questions to track (feature usage, funnel dropoff, retention, etc.)

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