Operation Water: How Cinelytic Can Fit Into the Industry

Seeing adoption up close

As part of my college consulting project, I had the opportunity to work closely with Cinelytic (https://www.cinelytic.com), a platform that helps entertainment companies make better decisions using data.

This project gave me a chance to look at the industry from a completely different perspective. Instead of just thinking about technology, we had to understand how real people in studios make decisions, what challenges they face, and why certain tools are or are not adopted.

What made it even more interesting was this. The problem was not that the entertainment industry lacks data. The real problem is how that data is used, and more importantly, whether people trust it.

We started with a simple question. How can a product like Cinelytic actually see wider adoption and build long term trust in an industry that is still very human at its core?

To answer this, we spoke to people across the industry. From finance teams to creative leaders, from large studios to smaller companies. And something interesting kept coming up again and again.

Everyone uses data. But not everyone trusts tools that feel like they are trying to replace human decisions.

That insight shaped everything we worked on.

We called our approach the "be like water" strategy. Instead of trying to force change, the idea was to slowly fit into existing workflows and build trust over time. Not breaking the system, but adapting to it and improving it from within.

Start where teams already work

From there, we focused on three key things. The first was making it easier for people to start using the product.

We found that a lot of teams still do comp analysis manually. They use Excel, internal tools, and sometimes even tools like ChatGPT to piece things together. It is slow, inconsistent, and not always reliable.

So instead of pushing a complex product from the start, the idea was simple. Start with something familiar.

We focused on comp analysis as an entry point. A lower barrier, easier to adopt, and something that already fits into how teams work today. The goal was to help users get value quickly, and then grow from there.

Give people control

The second thing we focused on was control.

One major gap we noticed was that most tools feel like a black box. You put something in and get an output, but you do not really know how it got there.

That does not work well in industries where decisions matter a lot.

So we pushed for a more flexible system. Something where users can adjust inputs, test scenarios, and actually feel like they are part of the process. Because when people feel ownership, they trust the product more.

In fact, every person we spoke to wanted more customization in how they run their analysis.

Position it as a partner

The third and probably most important shift was around positioning.

We realized the resistance was not really about data. It was about the word AI.

Creative professionals are open to using data. They already do. But they do not want a tool that feels like it is replacing their judgment.

So instead of leading with AI, the idea was to present Cinelytic as a predictive analysis tool. Something that supports decisions, not replaces them.

That small change in framing makes a big difference. It makes the product feel like a partner, not a threat.

What it taught me

When you put all of this together, the bigger picture becomes clear. This was not just about building recommendations for a product. It was about understanding how adoption actually works in a real industry.

If you look at how decisions are made today, it is still a mix of human instinct and manual data work. What Cinelytic does is bring structure, speed, and consistency into that process without taking away the human element. And that is what makes it powerful.

Working on this project changed how I think about product building. It is not just about what your product can do. It is about how people feel when they use it. Whether they trust it. Whether it fits into their world.

And sometimes, the best way to create change is not to push harder. It is to flow around the problem, find the gaps, and grow from there. Just like water.