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analizador-traccion

Classify product traction levels from post-launch metrics like retention and conversions.

Updated Nov 2, 2025
Search Tags:#metrics#product#retention#analyze#post-launch#pivot#traction
One-click install
npx skills add https://github.com/ecolonco/skill --skill analizador-traccion
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analizador-traccion
Source: https://github.com/ecolonco/skill/tree/main/.claude/skills/analizador-traccion
Command: npx skills add https://github.com/ecolonco/skill --skill analizador-traccion

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams interpret post-launch metrics to determine whether a product has real traction or if they should pivot, persevere, or sunset it after release.

Core Features & Use Cases

  • Traction levels: red, yellow, green with clear symptoms and recommended actions.
  • Metrics coverage: active users, 7-day retention, paid conversions, organic growth, and user feedback trends.
  • Decision guidance: practical steps for pivots, iterations, or continued investment.
  • Real-world scenario: apply to a SaaS launch to decide whether to invest in further development or pivot.

Quick Start

Provide your post-launch metrics to the skill: total registrations, active users, 7-day retention, paying users, and notes on user feedback. The skill will classify traction and suggest next actions.

Frequently Asked Questions about analizador-traccion

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

FAQPage Schema
How do I evaluate post-launch traction for my SaaS product?▼

Evaluate post-launch traction by analyzing active users, 7-day retention, paid conversions, and organic growth against defined thresholds to classify traction as red, yellow, or green.

What metrics indicate if a digital product has real traction after release?▼

Real traction is indicated by post-launch metrics including total registrations, active users, 7-day retention, paying users, and user feedback trends, which are assessed to determine market fit.

When should I pivot or persevere based on post-launch product metrics?▼

Pivot or persevere decisions are triggered by metric thresholds falling into red, yellow, or green traction levels, providing actionable outcomes and practical steps for iterations or continued investment.

How do I analyze retention and engagement data to guide product pivots?▼

Analyze retention and engagement data by feeding post-launch metrics into an evaluation framework that compares actual user behavior against defined thresholds to recommend pivot, iteration, or investment actions.

What is the best way to assess post-launch traction for web apps?▼

The best way to assess post-launch traction for web apps is applying a standardized evaluation framework that measures monetization and referrals to output clear pivot or perseverance decisions.

Can I use post-launch traction analysis for digital products without complex dashboard setups?▼

Yes, you can use post-launch traction analysis by providing basic metrics like total registrations and 7-day retention directly into the framework to get actionable outcomes without complex dashboard integrations.

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