Form a testable prediction before you act

State in advance what you expect to happen, so the result is evidence rather than noise.

Why it works

Without a pre-stated prediction, any outcome can be rationalized as "about what I expected." Writing down what you predict before you try something creates a contrast point: the gap between prediction and result becomes hard data rather than a narrative you construct after the fact. This is the same logic as a scientific hypothesis — prediction is what makes a test meaningful.

How to do it

1. Before trying a new approach, write a single sentence: "I predict that if I do X, then Y will happen."
2. Make the prediction specific enough to be falsifiable (an outcome you can check, not a vague improvement).
3. Keep the prediction visible so you cannot unconsciously revise it after seeing results.

Evidence

Prediction-before-outcome is the logical foundation of hypothesis-driven learning; it prevents hindsight bias from turning any outcome into a confirmation. The value of prospective prediction is well established in decision research on calibration and learning. (mechanistic)

The PDSA framing itself is primarily a management/quality-improvement framework; direct experimental trials on personal use are limited.

Common mistake

Setting such a vague prediction ("I think it will go better") that the result can never actually disconfirm it, leaving you no real information to act on.