Module 10 · The science in depth · MFJ synthesis

Thinking like a scientist about yourself

Why your own experiment is personal learning, not universal proof — and how to run it well.

6 min read · Level: Intermediate · Free — no account needed to read

The problem it solves

How do you test what works for you, without fooling yourself?

The concept

Research tells you what tends to help people on average. A personal experiment tells you what helps you, in your life, right now. Both are useful; neither replaces the other.

A good personal experiment has a clear question (“Does attaching reading to my evening tea help me read more consistently?”), one change at a time, a set window you choose, something observable to measure, notes as you go, and an honest review at the end.

Its result is personal learning, not proof of a universal law. One experiment can be affected by a busy week or a good mood. That’s fine — its job is to guide your next step.

Why it matters

Treating habits as experiments turns every attempt into information, removes the sense of failure, and matches the research finding that reviewing and adjusting plans supports progress.

MFJ synthesis: MyFullJourney’s own combination of several sources into one practical method. The sources are named so you can check them.

See it happen

Anya wonders whether morning or evening study suits her better.

The ordinary first approach

She’ll just see how it goes.

With the idea

She runs two weeks of morning study, then two of evening study, logging each session and noting her focus.

What changed

“See how it goes” became a fair comparison she could learn from.

Easy to get wrong

• Changing several things at once.
• Ending the experiment early because of one bad day.
• Treating your result as a rule for everyone else.

Try it now: Frame one experiment

1. Write a question about one of your habits: “Does X help me Y?”
2. Choose one change, a window, and what you’ll observe.
3. Start it in Habit experiments.

Apply it to one of your habits

For one of your habits, what question would you like a small experiment to answer?

Reflect

• What would you most like to learn about how you work?

Go deeper — evidence & sources

MFJ combines single-case (n-of-1) thinking from research methods with monitoring and review techniques into the Habit Experiments tool.

• Harkin, Webb, Chang, Prestwich, Conner, Kellar, Benn & Sheeran (2016). Does monitoring goal progress promote goal attainment? A meta-analysis of the experimental evidence. Psychological Bulletin. doi:10.1037/bul0000025
• Carver & Scheier (1982). Control theory: A useful conceptual framework for personality–social, clinical, and health psychology. Psychological Bulletin. doi:10.1037/0033-2909.92.1.111