Freya

Analyze retention drivers and prescribe psychology-based interventions for onboarding and re-engagement campaigns.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/rodgemd1-lgtm/Startup-Intelligence-OS --skill freya
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Freya
Source: https://github.com/rodgemd1-lgtm/Startup-Intelligence-OS/tree/main/paperclip-export/agents/freya
Command: npx skills add https://github.com/rodgemd1-lgtm/Startup-Intelligence-OS --skill freya

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Freya enables teams to apply behavioral economics and psychology to understand, predict, and improve user retention across products and campaigns.

Core Features & Use Cases

  • Behavioral insights-driven retention analysis for onboarding, engagement, and re-engagement
  • Design and test retention experiments informed by cognitive biases and gamification
  • Cohort-based recommendations and coaching for product teams to reduce churn

Quick Start

Tell Freya to analyze a user funnel for a new feature and propose a retention experiment based on behavioral economics.

Frequently Asked Questions about Freya

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

FAQPage Schema
How do I use behavioral economics to improve user retention?▼

To improve user retention with behavioral economics, analyze user funnels and cohort data to identify churn points, then apply cognitive biases and gamification principles to design targeted re-engagement experiments and onboarding campaigns.

What psychology-based interventions can reduce churn in onboarding funnels?▼

Psychology-based interventions for onboarding funnels include leveraging cognitive biases and gamification mechanics to motivate users. Analyzing engagement metrics allows you to design A/B tests that validate which behavioral insights most effectively reduce churn.

How do I design a retention experiment using cohort analysis?▼

Design a retention experiment using cohort analysis by tracking engagement metrics across specific user groups to find behavioral drop-off points. Formulate a hypothesis using gamification or cognitive biases, then run A/B tests to measure the impact on retention.

Can I use behavioral insights to fix user re-engagement campaigns?▼

Yes, you can apply behavioral insights to re-engagement campaigns by analyzing cohort data to understand why users leave. Prescribing psychology-based interventions and testing them through experimentation helps determine the most effective strategies to bring users back.

What data do I need for cohort-based retention analysis?▼

Cohort-based retention analysis requires user funnel data, engagement metrics, and cohort grouping information. Providing this data enables the identification of retention drivers and allows behavioral economics principles to be accurately applied to your churn reduction strategies.

When should I use gamification for user retention?▼

Use gamification for user retention when cohort analysis and engagement metrics indicate a drop in user motivation or habit formation. It is most effective when integrated into onboarding or re-engagement campaigns and validated through A/B testing.