Operation Water: How Cinelytic Can Fit Into the Industry

Problem

Cinelytic had useful data outputs, but adoption was slower than expected. Teams said workflows felt unfamiliar and the AI-first framing created resistance, especially in creative functions.

The real issue was not lack of analytics. It was trust, control, and fit with the way teams already worked.

What We Did

We ran a focused research sprint across industry stakeholders.

• 10 interviews across finance, forecasting, creative, and strategy
• Coverage across 12 companies
• Secondary research on forecasting and AI adoption behavior

Recommendation

We proposed a comps-first product strategy with lower friction entry, modular controls, and predictive-analysis positioning.

The goal was simple: make the product feel familiar, controllable, and useful before trying to transform behavior.