home / skills / coowoolf / insighthunt-skills / controllable-inputs-framework
This skill helps you apply controllable input metrics to diagnose growth, prioritize actions, and sustain a flywheel without chasing lagging outputs.
npx playbooks add skill coowoolf/insighthunt-skills --skill controllable-inputs-frameworkReview the files below or copy the command above to add this skill to your agents.
---
name: Controllable Inputs Framework
description: Focus on Input Metrics (selection, price, speed) rather than Output Metrics (revenue, stock price). Inputs are controllable and causal; outputs are lagging. Amazon's flywheel philosophy.
---
# The Controllable Inputs Framework
> "If we served customers well... things like sales, revenue... and share price... would follow. We took it as an article of faith." — Bill Carr
## What It Is
A management focus on **"Input Metrics"** (controllable activities like selection, price, speed) rather than **"Output Metrics"** (lagging indicators like revenue, stock price), often conceptualized as a Flywheel.
## When To Use
- When defining **OKRs**
- Conducting **weekly business reviews (WBR)**
- When **growth stalls** and you need to diagnose
- Avoiding **short-term reactive** decision making
## Inputs vs. Outputs
```
┌─────────────────────────────────────────────────────┐
│ OUTPUT METRICS (Lagging) │
│ ❌ Revenue │
│ ❌ Stock price │
│ ❌ Active users │
│ → Results of past actions │
│ → Not directly controllable │
├─────────────────────────────────────────────────────┤
│ INPUT METRICS (Leading) │
│ ✅ Selection (# of products) │
│ ✅ Price (% below competition) │
│ ✅ Speed (delivery time) │
│ → Actions you take today │
│ → Directly controllable │
└─────────────────────────────────────────────────────┘
```
## The Amazon Flywheel
```
┌─────────────────┐
│ Better Customer│
│ Experience │
└────────┬────────┘
↓
┌─────────────────┐ ┌─────────────────┐
│ Lower Prices │←───│ More Traffic │
└────────┬────────┘ └─────────────────┘
↓ ↑
┌─────────────────┐ ┌─────────────────┐
│ Lower Cost │ │ More Sellers │
│ Structure │───→│ More Selection │
└─────────────────┘ └─────────────────┘
```
## How To Apply
```
STEP 1: Identify Your Flywheel
└── What inputs drive customer experience?
└── How do they compound?
STEP 2: Define Input Metrics
└── Each must be controllable
└── Each must have causal link to outputs
STEP 3: Measure Continuously
└── Weekly Business Reviews (WBRs)
└── Real-time dashboards
STEP 4: Resist Output Obsession
└── When output dips, diagnose inputs
└── Don't panic-optimize the output directly
```
## Common Mistakes
❌ Confusing **outputs** (active users, revenue) with **inputs**
❌ Creating "compound metrics" that **obscure root cause**
❌ Reacting to **output dips** with short-term hacks
## Real-World Example
Amazon focused on "Selection" (number of detail pages) and "Lower Prices" as inputs, believing they would drive the output of "Free Cash Flow" via the Flywheel effect.
---
*Source: Bill Carr, Co-author of "Working Backwards", Lenny's Podcast*
This skill teaches the Controllable Inputs Framework: focus on leading, controllable input metrics (selection, price, speed) rather than lagging output metrics (revenue, stock price). It frames those inputs as a flywheel that compounds customer experience and long-term results. The aim is to create operational clarity so teams act on things they can control and measure every week.
You identify the core flywheel for your product or business by mapping the inputs that directly drive customer experience. For each input you define simple, controllable metrics with causal links to outputs. Measure those inputs continuously (WBRs, dashboards) and use them to diagnose output changes instead of reacting to outputs directly.
Why not just optimize outputs like revenue or active users?
Outputs are lagging and often noisy. They reflect many historical decisions and external factors. Optimizing inputs targets actions teams can control and that causally drive outputs over time.
How many input metrics should I track?
Keep it small—typically 3–6. Too many inputs dilute focus; too few can miss important levers. Each should be directly controllable and clearly linked to outcomes.