# Steer Growth

> Produce the operating pulse and choose evidence-backed pricing, capacity, channel, location, or expansion experiments. Use for "should I..." growth decisions.

- Skill: `simongonzalezdc/steer-growth` (Agent Skill)
- Install (CLI): `npx skillmds@latest add simongonzalezdc/steer-growth`
- Raw SKILL.md: https://api.skillmd.com/api/skills/simongonzalezdc/steer-growth/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Marketing & Growth
- Author: simongonzalezdc (https://skillmd.com/u/simongonzalezdc)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/simongonzalezdc/steer-growth

---


# Steer Growth

The decision layer: how the business grows, at what cost, with what evidence.

## What this skill produces

### The operating pulse (weekly)
One page: revenue vs plan, cash position, customer count, key metric trends, ONE decision needed this week

### The quarterly review
Deep dive: are we on track? What changed? What to start/stop/continue?

## Growth decisions (all evidence-gated)

### Pricing
- Current margin by item (from control-money)
- Price elasticity test (raise/lower and measure)
- Menu/price optimization (engineering analysis)

### Capacity expansion
- Add hours? (only if current hours are full)
- Add equipment? (only if bottleneck is equipment)
- Add space? (only if revenue justifies rent increase)
- Add a location? (only if current unit is profitable AND founder-independent)

### Channel expansion
- Wholesale/catering (margin lower but volume smoother)
- Online/e-commerce (reach beyond walk-in)
- Partnerships (cross-promotion, co-branding)

### Product expansion
- New items (test with limited-time offers first)
- New revenue lines (classes, events, memberships, rentals)
- Idle-hour monetization (space arbitrage)

## The kill/scale/park framework
For each product, channel, or revenue line:
- **SCALE**: evidence supports more investment (name the evidence)
- **PARK**: not enough data yet; set a review date
- **KILL**: evidence contradicts viability; document the lesson

## Rules
- One experiment at a time
- Every experiment has a pre-registered metric and a deadline
- The kill date applies to experiments too, not just the overall business