From Data-Informed to Knowledge-Driven
Data-driven is not enough. Data-informed restores judgment but keeps you in the present. Knowledge-driven turns decisions into reusable assets. A simple template and review loop help teams learn faster, cut rework, and scale better choices.
TL;DR
- Problem: Teams call themselves data-driven, but this is often too passive, leading to poor decisions. "Data-informed" is better because it restores human judgment, but it's stuck focusing only on the present.
- Solution: Become knowledge-driven by turning each decision into a reusable asset. This approach focuses on compounding learning for the future, not just making a good decision today.
- What is "Knowledge"?: It's a "reusable decision asset" that captures a proven effect, the specific context where it works, its strategic meaning, and a decision record with a revisit date.
- The AI Factor: AI multiplies signals but doesn't provide meaning. A knowledge-driven approach ensures humans remain in control of strategy and the "why" behind decisions.
- How to Do It: Use a simple template to record decisions and follow a six-step loop: Frame, Hypothesize, Test, Interpret, Record, and Revisit. This turns learning into a durable, compounding advantage.