Tiny Experiments: Breaking Free from Goal Obsession

Executive overview

Traditional goal-setting assumes you know what you want, that your desires won't change, and that reaching your goal will make you happy—assumptions that fail repeatedly. The experimental mindset replaces fixed outcomes with a focus on process, learning, and continuous curiosity. Rather than pursuing one rigid goal, you run small, iterative experiments to discover what genuinely excites you, collect real data about your preferences, and navigate life with flexibility.

The core insight: Success isn't reaching a destination—it's learning something new about yourself or your work.

Why linear goal-setting fails

Linear goals assume a clear vision, stable preferences, and that achievement brings lasting happiness. In reality:

• You don't know what you want today or tomorrow—preferences shift with experience and context
• The world changes; your plan becomes obsolete before you finish executing it
• Reaching a goal often disappoints (the "arrival fallacy")—you're still the same person with the same problems
• This framework makes you miserable if you can't reach the goal or if you reach it and feel empty

From broken goals to experimentation

Anne-Laure Le Cunnf's own journey illustrates the trap: she climbed at Google, quit to start a startup (following the script around her), then realized she was still chasing others' definitions of success. Only when she accepted being lost did she ask herself what genuinely excited her—the brain. She returned to school for neuroscience and rediscovered the scientific method, which became her framework for life.

An experiment differs fundamentally from a goal:

• Goals have a binary outcome: success or failure, happiness or disappointment
• Experiments focus on learning: you test a hypothesis, run trials, collect data, and decide what works

The newsletter that became her book started as a tiny experiment—writing 100 articles over 100 weekdays, withholding judgment until completion.

The anatomy of a tiny experiment

Step 1: Observe (24 hours)

Take notes on what energizes you and what drains you. Note topics that make you perk up, meetings you love or dread, how you actually spend your time. Don't overthink—use your phone. This reveals patterns you've been running on autopilot.

Step 2: Form a hypothesis with "maybe"

After observation, ask "why" repeatedly. Maybe blocking quiet work in the morning would boost creativity. Maybe daily walks would improve mood. Maybe learning a new tool would help. Pick ONE small thing.

Step 3: Design the experiment

• Specific action: "One hour of quiet work, 9–10 a.m."
• Duration: Five days, two weeks, whatever feels manageable
• Commitment: Make a pact to complete it, even if it's hard
• No early judgment: Don't analyze while you're running it

Step 4: Collect data

Just do the thing. Withhold judgment. If you miss days, that's data too—it tells you the behavior is difficult to stick to.

Step 5: Reflect honestly

At the end, ask: How did that feel? Was it good? Do I want to keep going or try something else? There's no failure—only learning. If you quit after three days, you don't have enough data. If you complete it and hate it, you learned it's not for you.

Adjust and iterate

Based on what you learned, you either keep the experiment or modify it: different time, different action, add a friend, try a different approach entirely. The goal is to stay curious, not to find the one right answer.

Purpose is plural and changing

The culture obsesses over finding "your one true purpose"—mentions have grown 700% in two decades. This creates misery when you haven't found it and paralysis when you have.

The truth: people who love their work didn't find it through a worksheet. They found it by trying things, meeting people, following random opportunities that connected in unexpected ways. They discovered it was messy and emergent, not engineered.

You can have multiple purposes—being a great developer, a good parent, a painter. You can drop a purpose when it stops serving you. Your "thing" might change entirely next year, and that's fine.

Kronos versus Kairos: two ways to relate to time

The ancient Greeks distinguished two types of time:

Kronos is quantitative time—seconds, minutes, hours, calendars. It assumes all moments are equal boxes you must stuff with productivity. This drives toxic productivity culture and time anxiety.

Kairos is qualitative time—moments expand and contract based on their quality. An amazing conversation makes time disappear. A kairos moment is elastic, alive, not measured.

The toxic productivity mindset treats all time as kronos. You optimize for quantity, fear wasting minutes, and feel guilty doing nothing.

You can't abolish kronos—work requires it. But you can carve out kairos moments: curiosity sessions, conversations without phones, walks, deep work on what excites you, falling down Wikipedia rabbits holes, doing nothing. These moments have different quality. They feed you.

Time anxiety and the permission to start late

Time anxiety is the feeling that you're wasting time, never doing enough, and it's too late to start something new. It stops you from exploring because it feels risky compared to what's working.

But it's never too late to learn, change careers, move, or explore something new. Kids might have started piano at 13, but you can start at 43. The data isn't worse—it's different. Remind yourself: I'm allowed to be curious about this.

Experimentation within linear environments

You can't overhaul your company's OKRs and KPIs. But you can design tiny experiments in your own work: a curiosity inbox where you save interesting links, dedicated time each week to explore, a 15-minute daily walk, one hour of uninterrupted deep work.

This approach beats OKRs because you complete dozens of small experiments and collect real data in the time it takes to chase one ambitious goal that likely won't hit. When something doesn't work, you adjust. You learn faster.

Intentional imperfection

There's no one way to run experiments. The only wrong approach is clinging to a specific outcome. As long as you show up, do the thing, accept it will be messy, and observe without judgment, it works.

You can experiment with how you experiment: solo notes, coffee check-ins with a friend, public exploration with colleagues, small WhatsApp groups. Different approaches suit different people. The framework is yours to adapt.