By TR Harrington, Partner & Director of Growth at Orbit Ventures

In working with dozens of early-stage companies across emerging markets, TR Harrington has seen a consistent pattern: most startups don’t fail because of lack of effort — they stall because they lack a growth system.

Most startup founders talk about growth like it’s a destination — a magic moment when numbers “just take off.” But real growth isn’t a moment. It’s a system: a structured, repeatable process that turns experiments into insights, insights into improvements, and improvements into compounding impact.

That’s what we call a Growth Flywheel — and it’s one of the most reliable engines for scaling startups in emerging markets and beyond.

From Bugs to Learning Loops: The Core of a Growth Flywheel

At most startups, growth conversations revolve around tactics: “Should we run another campaign?” or “Should we add another pricing tier?” Those questions matter, but they’re ineffective without a feedback engine underneath them.

A Growth Flywheel starts with observation and validation — not intuition or assumptions. Successful founders don’t ship features into the void and pray for magic. They build a learning loop where:

• every new feature,
• every onboarding session,
• every sales interaction, and
• every user action

…feeds structured feedback back into product, marketing, and strategy.

That same principle powered a product team to turn 1,000+ free users into a six-figure ARR not by luck, but by turning every onboarding session into a field study — watching users struggle, asking the right questions, and feeding insights directly into product improvements.

This approach treats product, sales, and onboarding not as outcomes alone, but also as a data engine — a learning opportunity at every step.

Growth Flywheel in Action: Four Stages

Here’s one way a practical flywheel works in high-growth startups:

1. Observe behavior early and often.

Patterns matter more than opinions. Before you ship new screens or dashboards, get people using real flows. Watch them struggle. Ask: “What took longer than expected?” and “What was confusing?”

This isn’t about surveys — it’s about actual moments of use. The insights you find here often expose hidden bottlenecks that no analytics dashboard ever will.

2. Build tight feedback loops.

Capture these learnings and push them immediately to product and engineering teams. Don’t wait weeks or months — the most powerful insights lose their force if you delay.

When designers hear real users say things like “I don’t know what this means,” it transforms vague priorities into urgent fixes.

3. Ship fast, measure faster.

Release improvements in small batches, not massive launches. Then measure impact with the atoms of your business:

• Did the change increase retention?
• Did it reduce drop-offs?
• Did it increase conversions, or just clicks?

If the answer isn’t meaningful impact, iterate again.

4. Repeat with intentionality.

The flywheel gains speed only when ALL teams — product, design, engineering, marketing, sales — operate with the same language: impact and evidence. Set up a weekly or bi-weekly ritual where newly discovered patterns become prioritized actions.