Stage 4: Strategy | Little Bets/Experiments

You've done the deep work. You know who you are, where you stand, you've envisioned where you want to go, and you've started building the strategy to get there. Now comes the part where it all becomes real.

Little bets are small, time-bounded experiments designed to test whether a particular change actually works for you. The key word is small. You don't quit your job to see if freelancing suits you. You take on one freelance project over a weekend. You don't move to another country to find out if you'd like living abroad. You spend 2 weeks there and work remotely.

The logic here is to reduce the cost of being wrong. Big commitments made on untested assumptions are how people end up in lives that look right on paper but feel wrong on the inside. Little bets let you gather real data about what works for you before you commit.

Everything you've built so far (your self-invention direction, your rhythm, your decision-making tools, your resource audit, your focus areas) feeds into the experiments you'll design here. And the results of those experiments feed into the next phase of your life design.

The research behind small experiments

Little bets and breakthrough discovery

Peter Sims studied how some of the world's most successful people and organisations developed their best ideas. His 2011 book Little Bets documented a consistent pattern: breakthroughs came not from grand master plans but from sequences of small, affordable experiments. Pixar didn't start with a feature film either - they made short animations. Amazon didn't launch AWS as a fully formed product at first - they built internal tools, noticed external demand, and tested incrementally.

Sims identified several principles that make little bets work:

• Experiment quickly with what you have;

• Play to learn, not to win;

• Fail cheaply and fail often.

• Use small wins to build momentum.

The same logic applies to life design. You don't need the perfect plan, you just need a testable hypothesis and the willingness to run the experiment.

The build-measure-learn loop

Eric Ries's Lean Startup methodology introduced the concept of validated learning: using rapid experimentation to test assumptions before investing heavily. The core cycle is build, measure, learn. You build a minimum viable product (the smallest thing that tests your hypothesis), measure the results, and learn from what happens.

In life design, the minimum viable product is your experiment. You don't build the whole new career. You build one project. You don't redesign your entire morning routine. You change one thing for 30 days and see what happens. The measurement is both quantitative (did my energy improve? did I finish the project?) and qualitative (did I enjoy it? did it feel like me?).

Tiny habits and the power of small starts

BJ Fogg, a behavioural scientist at Stanford, spent 20 years studying how habits form. His 2019 book Tiny Habits made a compelling case: the smaller the behaviour, the more likely it is to stick. If you want to start meditating, don't start with 20 minutes. Start with one breath after you sit down at your desk. The action is so small that motivation becomes irrelevant. Once the tiny behaviour is anchored, you naturally expand it.

Fogg's research is published across multiple papers including his 2009 paper "A Behavior Model for Persuasive Design" presented at the Persuasive Technology conference. His model (B = MAP: Behaviour happens when Motivation, Ability, and Prompt converge) explains why ambitious plans fail. They require too much motivation. Tiny experiments succeed because they require almost none.

Effectuation: starting with what you have

Saras Sarasvathy, a professor at the University of Virginia's Darden School of Business, studied how expert entrepreneurs make decisions. Her 2001 paper in the Academy of Management Review introduced effectuation theory arguing that expert entrepreneurs don't start with a goal and then acquire resources. Instead, they start with 3 things: who they are, what they know, and whom they know. They ask: given these means, what can I create?

This is the logic behind your experiments. You've already mapped your resources (in the Resource Audit). Now you design experiments that use what you have, not what you wish you had. The experiments grow as your resources grow.

The 3 experiment time frames

The 30-day sprint

A 30-day experiment is for testing a single behaviour change or micro-project. It's long enough to get past the novelty phase and short enough that commitment feels manageable.

Good for: new morning routines, creative practices, exercise habits, dietary changes, daily writing, social experiments (reaching out to one person a day), micro-business tests (offering a service to 5 people).

The question it answers: "Could this work for me day to day?"

The 3-month deep test

Three months gives you enough time to see real patterns. The first month is adjustment. The second month is where the behaviour starts feeling natural (or doesn't). The third month is where you have enough data to make a real decision.

Good for: freelance or side project pilots, relationship changes (new boundaries, new communication patterns), relocating to a new area on a trial basis, shifting your work schedule, joining a new community.

The question it answers: "Does this fit my life when the novelty wears off?"

The 6-month commitment

Six months is for bigger experiments that need time to mature. Career pivots, major skill development, relationship rebuilding, financial strategy shifts. These are closer to real commitments, but they still have an end date and a review point built in.

Good for: career transitions (part-time or parallel track), significant skill development (learning a language, building a portfolio), business launches at minimum viable scale, and major lifestyle restructuring.

The question it answers: "Is this a life I want to keep building?"

Your experiment design lab

Access your Notion workbook here.

Pull from your Focus Areas and Goals document. Each experiment should connect to one of your focus areas and test a specific hypothesis about your life.

Part 1: The experiment menu

Brainstorm 8 to 10 possible experiments across your focus areas. Don't filter yet. Write down anything you're curious about testing in this format:

• Experiment idea - focus area - time frame - What you'd learn - Cost (time/money/energy)

Now pick your top 3. Use these filters:

• Which experiments are you most curious about? Curiosity is fuel. Go where the pull is.

• Which ones could you start this week with what you already have? (Check your Resource Audit.)

• Which ones test assumptions you're most uncertain about? The whole point is to learn. Test where you're guessing, not where you already know.

• Which ones would give you the most useful data, regardless of outcome? A good experiment is valuable whether it "succeeds" or "fails."

Part 2: Design your first 3 experiments

Fill out one design template for each experiment. Be specific here as vague experiments produce vague results.

Experiment 1:

• Experiment name:

• Hypothesis: I believe that [action] will [result] because [reason]

• Duration: 30 days / 3 months / 6 months (choose one)

• Success criteria: How will I know if this worked?

• Minimum viable version: The smallest way I could test this:

• Resources needed: Time: [], Money:[], Energy: [], Support: []

• Check-in schedule: When will I pause and evaluate?

• Exit criteria: What would make me stop early?

• Start date:

Part 3: The experiment tracker

Use a table to log your experiments over time. Regularly come back to it to update it. It becomes the living record of your prototyping phase.

• Here is the structure:

• Experiment:

• Start:

• End:

• Status:

• Key findings:

• Next action:

Status options: active, paused, completed, dropped. All are valid. Dropping an experiment because you learned it's wrong for you is a success, not a failure.

Part 4: The review protocol

After each experiment ends (or at each check-in point), run through the questions below. The data from your experiments is the most valuable thing you'll produce in this entire course.

Experiment review template
Experiment name:
Duration:
Original hypothesis:
Was the hypothesis right? Yes / Partially / No
What actually happened:
What surprised me:
What I learned about myself:
Continue, expand, or drop?
My next experiment based on this:

Reflection

• Which experiment excites you most? What does that excitement tell you?

• Which experiment scares you? Is the fear a signal that it matters, or a signal that you're not ready? How can you tell the difference?

• Are your experiments small enough? Could you make them even smaller without losing the learning?

• What's the worst that could happen if your experiment fails? Write it down. Is it actually that bad?

• Are you designing experiments to learn, or experiments to prove you're right? There's a difference.

• If you could only run one experiment for the next 90 days, which one would teach you the most about the life you want?

AI companion (optional)

How to use: Share your focus areas and your experiment ideas (from Part 1 above) with the AI. The conversation typically runs 20 to 30 minutes. The AI is especially good at catching experiments that are too big (commitments disguised as tests) and helping you find the smallest viable version.

Copy and paste the prompt below into Claude, ChatGPT, or any AI assistant:
You are a life design coach helping me design and refine small life experiments. I've been working through a self-discovery and life visioning process, and now I'm ready to move into action through "little bets," which are small, time-bounded experiments. I'll share my focus areas, goals, and experiment ideas.
Your job is to:
(1) Help me sharpen my hypotheses. If my hypothesis is vague ("I think freelancing might be good"), push me to be specific ("I believe that taking on 2 freelance projects over the next 6 weeks will teach me whether I enjoy client work enough to build a business around it").
(2) Help me find the minimum viable version of each experiment. Whatever I propose, ask: could you test this even smaller? Even cheaper? Even faster?
(3) Challenge experiments that are actually commitments in disguise. If my "experiment" requires burning bridges, quitting something, or spending significant money, that's not an experiment. Help me find a real test.
(4) Help me define clear success criteria and exit criteria. What would make this a success? What would make me stop early without guilt?
(5) Help me sequence my experiments. Which one should I run first? Which ones depend on each other? One question at a time. Be practical and direct.

A closing note

This is where life design becomes life. Everything before this was preparation: mapping who you are, imagining where you want to go, building the strategy to get there. The experiments are where you stop preparing and start doing.

You will get things wrong. Some experiments will fizzle, some will surprise you, and some will teach you that the thing you wanted isn't actually the thing you want. All of that is the process working exactly as it should.

Run the experiment. See what happens. Adjust. Run another one.