AgentSkillsCN

explore-exploit-cycles

该行为模型揭示了切换决策中相互对立的力量——推动、拉拽、焦虑、习惯。只有当“推动 + 拉拽” > “焦虑 + 习惯”时,转变才会真正发生。这一模型是“待办事项理论”的核心组成部分。

SKILL.md
--- frontmatter
name: explore-exploit-cycles
description: Use when managing growth experiments, when a product area faces diminishing returns, or when deciding whether to generalize or specialize in career or product strategy

Explore and Exploit Framework

Overview

A cyclical approach to growth that alternates between discovering new opportunities (Explore) and maximizing their value (Exploit) to prevent stagnation in local maxima.

Core principle: Recognize when returns diminish (saturation) and deliberately return to exploration.

The Cycle

code
        ┌─────────────────┐
        │   EXPLORATION   │
        │ (Find Mountain) │
        └────────┬────────┘
                 │
                 ▼
        ┌─────────────────┐
        │   VALIDATION    │
        │ (Prove Insight) │
        └────────┬────────┘
                 │
                 ▼
        ┌─────────────────┐
        │  EXPLOITATION   │
        │ (Scale/Optimize)│
        └────────┬────────┘
                 │
                 ▼
        ┌─────────────────┐
        │   SATURATION    │◄──── Signal to restart
        │(Diminishing ROI)│
        └────────┬────────┘
                 │
                 └──────────────► Back to EXPLORE

Mode Characteristics

ModeMindsetActivities
ExploreDivergentFind new levers, user psychology, hypotheses
ExploitConvergentScale proven insight, optimize, A/B test

When to Switch Modes

SignalAction
Experiments hitting < 1% lifts→ Explore
Found high-leverage insight→ Exploit
Team feels "stuck"→ Explore
Clear winner validated→ Exploit

Common Mistakes

  • All Explore: Scattershot without scaling wins
  • All Exploit: Stuck in local maximum, diminishing returns
  • No oscillation: Failing to recognize saturation signals

Real-World Example

Chess.com "explored" why users reviewed games (finding they did it after wins, not losses), then "exploited" by redesigning to celebrate wins—increasing engagement 25%.


Source: Albert Cheng (Chess.com, Duolingo, Grammarly) via Lenny's Podcast