Here is the revised blog post draft with Section 2 updated to bullet points and paragraphs.

Growth is the ultimate goal for most startups and mid-sized businesses, but scaling rapidly often introduces an unwelcome guest:

In a recent episode of KPI Fireside, host Keith Norris sat down with Jhana Li, founder of Spyglass Ops, to break down how purpose-driven companies transition from founder-led hustle to scalable, predictable systems.

Here are the key takeaways from their conversation on defining operational excellence, managing outcomes rather than inputs, and building a high-performing culture.

1. What is “Operator DNA”?

Not everyone views business through the same lens. Marketers see growth loops, sales leaders see conversion funnels, and founders see long-term vision.

Great operators, according to Jhana, possess Operator DNA—an intuitive, complex systems analysis framework:

  • Deconstruction: Automatically breaking a business down into its composite systems.

  • Gaps & Friction: Instantly identifying where processes break, where time is wasted, and where human potential is bottlenecked.

  • Intrinsic Drive: A constant, almost involuntary urge to optimize how things work.

“The hardest part about operations is that really good ops is measured in what doesn’t happen—it’s the fire that never erupts, the team member who never leaves, the ball that never gets dropped.”

— Jhana Li

Because smooth operations look like “business as usual,” operators must take on the role of translators. Their job is to connect operational health directly to the company’s bottom line—showing how efficiency drives profit and speed.

2. The Three Levels of Operational Leadership

As an organization grows from multi-seven to multi-eight figures, its operational needs evolve. Rather than assuming every business requires an executive hire immediately, Jhana outlines three distinct levels of operational support depending on your stage of growth:

  • Ops Manager / Coordinator: This is your entry-level operator whose primary responsibility is minimizing day-to-day chaos. They focus on building basic SOPs, establishing clean file organization, setting up basic automations, and extracting friction out of daily workflows so team members can execute seamlessly.

  • Head / Director of Ops: Stepping up into middle management, this role handles everything an Ops Manager does while taking on team building, high-performance management, and accountability. They proactively look down the road to anticipate breaking points before they happen, while keeping teams aligned to key performance indicators.

  • Chief Operating Officer (COO): The highest operational tier brings “batteries-included” executive experience to the table. A COO is built for ambitious growth phases where the founder needs a seasoned guide who has already navigated the exact journey the company is attempting to undertake. Their success is tied directly to overall profitability, revenue per head, and long-term organizational strategy.

3. Managing to Outcomes, Not Inputs

A common pitfall in growing companies is managing employee inputs—demanding eight hours of desk time or counting tasks completed—rather than measuring outcomes.

Using tools like Job Scorecards, leaders can establish role clarity by defining what success actually looks like in objective terms.

  • Lagging Indicators (Outcomes): Profit margins, revenue per head, or target achievement rates.

  • Leading Indicators: Weekly process measures (e.g., pipeline hygiene, cadence adherence) that signal whether you are on track toward the lagging outcome.

When team members are given a clear target (the outcome) and the freedom to determine how to hit it, they gain autonomy. This environment encourages grassroots innovation—like leveraging AI tools to complete work faster and more effectively.

4. AI is an Accelerant, Not a Root-Cause Fix

With AI dominating modern strategy discussions, many companies fall into the trap of using technology as a quick patch for broken operations.

“AI will help us sprint even faster in the wrong direction. AI is not going to fix a system that was broken to begin with, nor will it make a terrible strategy successful.”

— Jhana Li

AI functions as an amplifier:

  • Layering AI over a clean, efficient process yields exponential speed and scale.

  • Layering AI over broken communication or unclear ownership yields automated chaos.

5. Is Your Business Speaking to You?

How do you know it’s time to invest in deeper operational systems? Look at your daily friction.

Constant scrambles, late-night texts, budget overruns, and recurring mistakes aren’t just frustrating—they are data points. They indicate that your current operational infrastructure is no longer sufficient for your company’s stage of growth.

Final Takeaway

Operations isn’t a cost center; it’s an investment in profit, efficiency, and human potential. By installing proactive systems, establishing role clarity, and shifting from reactive firefighting to root-cause analysis, leaders can build companies that scale smoothly without burning out their team.

Catch the full episode of KPI Fireside with Keith Norris and Jhana Li on Youtube r your favorite podcast platform.