nux-first-week-analyzer

Analyze first-week onboarding cohorts to identify engagement patterns and retention signals.

6|1|Updated Mar 5, 2026

Search Tags:#onboarding #engagement #retention #cohort-analysis #interventions #nux

Ready to run

npx skills add https://github.com/pwv-vc/agentcribs-community --skill nux-first-week-analyzer-pwv-vc

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: nux-first-week-analyzer
Source: https://github.com/pwv-vc/agentcribs-community/tree/main/resources/tearsheets/arsenal/dot-claude/skills/nux-first-week-analyzer
Command: npx skills add https://github.com/pwv-vc/agentcribs-community --skill nux-first-week-analyzer-pwv-vc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze the new user experience during the first week after onboarding completion to identify engagement patterns, confusion signals, and intervention effectiveness.

Core Features & Use Cases

Cohort-based NUX analysis over the first 7 days to surface retention risks and intervention gaps.
Detect user confusion signals in early messages to guide onboarding refinements.
Provide actionable recommendations for optimizing onboarding flows and support messaging.

Quick Start

Analyze the first-week onboarding cohort to surface engagement patterns and recommended interventions.

Frequently Asked Questions about nux-first-week-analyzer

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

FAQPage Schema

How do I analyze first-week onboarding engagement to find where new users struggle?▼

You can surface user confusion signals during onboarding by detecting engagement drops and friction points in early message interactions. This analysis evaluates first-week cohort behavior to pinpoint where users hesitate, guiding onboarding flow refinements and support messaging.

What is the best way to measure new user experience and retention risks in the first 7 days?▼

To calculate intervention timing for onboarding cohorts, apply weekly grouping across a 28-day window to surface retention signals. This approach analyzes onboarding events and message interactions to determine the optimal moments for delivering support interventions.

Does this onboarding cohort analysis support filtering by specific user types?▼

Data extraction for this analysis pulls from onboarding events, message interactions, and intervention deliveries. It requires a clearly defined time horizon, using a 28-day window with weekly grouping to ensure accurate first-week engagement pattern identification.

Why does my new user onboarding show low retention after the first week?▼

Low retention after the first week often stems from undetected user confusion signals and intervention gaps during onboarding. Analyzing first-week engagement patterns across cohorts helps identify exactly where users drop off and what support messaging is missing.