shortening-feedback-loops

Shortening the Feedback Loop

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Install skill "shortening-feedback-loops" with this command: npx skills add coowoolf/insighthunt-skills/coowoolf-insighthunt-skills-shortening-feedback-loops

Shortening the Feedback Loop

Overview

A mental model to debunk the idea that some decisions require years to evaluate. It involves identifying short-term proxies that correlate with long-term success.

Core principle: There is no such thing as a long feedback loop—it's a choice to wait.

The Framework

┌─────────────────────────────────────────────────────────────────┐ │ │ │ ULTIMATE OUTCOME (e.g., IPO / $1B Exit) │ │ ▲ │ │ │ │ │ ┌─────────────────┴─────────────────┐ │ │ │ INTERMEDIATE PROXY │ │ │ │ (Necessary Condition) │ │ │ │ e.g., Series A Funding (18 mo) │ │ │ └─────────────────┬─────────────────┘ │ │ │ │ │ ┌─────────────────┴─────────────────┐ │ │ │ SHORT-TERM SIGNAL │ │ │ │ (Correlated Metric) │ │ │ │ e.g., Net New ARR, Retention │ │ │ └───────────────────────────────────┘ │ │ │ └─────────────────────────────────────────────────────────────────┘

Key Principles

Principle Description

Necessary conditions Find what MUST happen for ultimate success

Correlated signals Look for metrics that predict the outcome

Proactive measurement Design experiments to surface signals early

Trade safety for learning Knowing early is better than comfortable ignorance

Common Mistakes

  • Waiting for final exit/outcome to judge decision quality

  • Ignoring interim signals like funding or retention

  • Hiding behind "it's too early to tell"

Source: Annie Duke (First Round Capital) via Lenny's Podcast

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