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👋 Hi, I’m Ariana!

Your friendly operations nerd.

For over 10 years, I’ve worked in operations as a Chief Operating Officer, VP of Operations, and Creative Technology. It’s my happy place.
These days, I’m a keeping busy as a:
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Fractional COO

Learn about my work and approach.

Coda Expert

Get support to build your own Coda docs.

🏆 The Goal

The goal for us here is to evolve from the “Peak of Mount Stupid” or “Valley of Despair” in the to what I’ve coined as the “Hill of Clarity”.
I can’t promise Enlightenment, but I can hopefully get you some clarity
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🤷🏻‍♀️ What is Operations?

The best way I’ve been able to describe operations is it’s the:
Fusion of people, process, and technology, fueled by data.
You can think of Operations as the:
Super glue between functions
Connective tissue of the business
Peanut butter to strategy’s jelly
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🤖 AI + Operations

Common Uses

Right now, all of us are using AI to:
Generate Content
Summarize Meetings
Imagery Creation

Ideas to Try

In the future, try AI to:
Data Cleaning
Industry Research
Global Team Comms

📝 Coda AI Functions

In the world of Coda AI, at this time, you’ve got three main buckets to learn and explore:

AI Assistant

AI Column

AI Block

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The case studies below will walkthrough each of these to show you them in action.

📜 Ops Case Studies

We’ve got three case studies we are going to explortoday. This includes , , , and , .

A major part of operations is data hygiene. The amount of time all operators have spent cleaning data is probably unthinkable.

Case Study

With one client I needed to clean mass quantities of contact data.
Names: With all different formats (middle names, titles, etc)
Phone #: Global numbers without proper formatting
Call #: They also wanted to call the contact by pressing a button

AI Execution

To see the execution, go to »

A big part of operations is to developing Objectives and Key Results for businesses and then defining metrics to quantify them.

Case Study

I was building OKRs with one of my clients. When we got to the metric aspect of quantifying the objectives, I wanted to build a library to help them and give them options.
Objectives: What do we want to achieve?
Key Results: How do we measure our progress?
Metrics: What we will use to quantify our progress?

AI Execution

To see the execution, go to

A big part of operations is to developing Objectives and Key Results for businesses and then defining metrics to quantify them.

Case Study

One of my client provides monthly stakeholder updates. Although it was vital to share our status we found two hurdles:
Lack of Time: We had a lack of time to do these monthly updates. By the time we finish one, the next month was here.
Translation: Most stakeholders spoke English as a second language, so we needed to be able to translate all updates.

AI Execution

Lets pop over to to see the full build!



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