This sample diagram highlights the focus imbalance in most Data-Driven Decision-Making (DDDM) processes. Most of the emphasis is placed on the steps that precede making a decision.

In conclusion, I believe adopting a data-driven decision-making system and integrating product-led growth with marketing-led strategies are essential for the success of AI consumer startups.

Effective data-driven decision-making requires good tools, high-quality data, efficient processes, and prepared people. Here’s how to achieve it.