The Goldilocks Growth Zone is a challenge sized just right: big enough to stretch us, yet small enough to repeat, learn from, and build on. A step too small keeps us on the bunny slope, with nothing meaningful to test. Too big a step risks repeated failure, lasting harm, wasted effort, and drifting off course. As individuals, teams, and organizations, we grow fastest and most durably through the smallest steps that still stretch us. Each yields a measurable result that T.H.R.I.V.E. loops turn into learning. Over time, the zone itself can move upward. What once stretched us becomes routine, so we not only bounce back but rise to a higher baseline.
That rising baseline is the heart of the Goldilocks Growth Zone. Each loop changes where the next one begins, so today’s stretch can become tomorrow’s starting point. It also lies at the core of Learned Resilience: turning challenges and setbacks into growth that keeps raising what we can take on. The zone sizes each short-term step, like one traverse across a ski slope, not the long-term goal that step serves. That goal can stay ambitious, as long as we know why it matters.
The same pattern holds at every scale. Individuals build it through atomic habits. Teams and organizations build it through Atomic Rituals and Minimal Viable Process Change. Meanwhile, growth and the systems we touch co-evolve. Growth creates the pressure that invites better processes, and better processes make further growth possible.
Three things help us stay in the zone. Support from coaches, peers, and teammates widens what we can take on. A breath between loops lets each lesson settle before the next stretch. And reading the edges is itself a skill, one that sharpens with practice.
The examples here come from ski slopes, sports fields, and engineering teams growing faster than their processes. Research and traditions from infant learning to martial arts and philosophy echo the same pattern. You might notice your own zone in these stories, and where it could rise next.
The Goldilocks Growth Zone at a Glance
- The Goldilocks Growth Zone is the smallest step that still stretches us and produces a measurable result. It sizes each short-term step, not the long-term goal that step serves.
- Too small, and not enough changes; too big, and failures mount, harm can last, and course corrections come too late.
- Through T.H.R.I.V.E. loops, each Evolve can move the zone upward, for individuals, teams, organizations, and the systems we touch.
- It builds on grit and bounce-back resilience: we get up each time, and we level up each time.
| Step size | Individuals | Teams and organizations |
|---|---|---|
| Too small | The bunny slope: good for consolidating, but little that extends us | Business as usual: steady, but no experiment to extend us |
| Just right | Short traverses: the smallest step that still stretches us, with a measurable result | A minimal viable change: small, reversible, measured, and reviewed together |
| Too big | Straight down the black diamond: repeated failure, lasting harm, wasted effort, too few loops to learn from, and a baseline that can keep falling | Waterfall: big effort, late feedback, few course corrections, and failures that make the next change harder |
| Loop by loop | Over several loops, today’s stretch can become a habit and a higher baseline | Over several loops, today’s experiment can become a ritual and a higher baseline |
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What Is the Goldilocks Growth Zone?
The Goldilocks Growth Zone names something many of us have felt: the difference between a step that grows us and one that doesn’t. Its name, its shape, and its place in the T.H.R.I.V.E. loop each say something about how it works.
Why “Goldilocks”?
In the familiar fairy tale, Goldilocks tries three bowls of porridge. One is too hot, one is too cold, and one is just right. The story has lasted because its idea is so intuitive: between too much and too little lies something that fits.
Since then, the name has traveled far beyond the nursery. Astronomers speak of a Goldilocks zone around a star, where a planet is neither too hot nor too cold for liquid water. Economists use the term for growth that is neither overheating nor stalling.
The Goldilocks Growth Zone borrows that intuition for human and organizational growth. Unlike a planet’s orbit, however, this zone doesn’t stay put. As we grow, what is just right keeps moving.
The MVP of Challenge
One way to picture a just-right step is as the MVP of challenge, borrowing the minimum viable product idea from Lean Startup. Each part of the name carries part of the meaning.
Minimal means as small as possible, because smaller steps let us complete more loops and correct course sooner. Viable means just big enough to be a real stretch and to bring about real change. Product means the step produces something we can measure, so we can test a hypothesis: if we take this step, we expect this outcome.
All three matter together. A step that is minimal but not viable keeps us on the bunny slope. One that is viable but far from minimal drifts toward Waterfall. Without a measurable product, we are left guessing about what we learned.
A Range We Choose Within
The zone is a range rather than a single point. On any given day, many steps may fall within it, from cautious to bold.
Within that range, we usually choose the smallest step that is still viable. Smaller steps buy more loops, earlier feedback, and smaller corrections. Yet smaller is not always better. A step so small that it teaches us little falls out of the range altogether.
Where the range sits depends on more than our own capacity. Support, consequences, and the system around us can all widen or narrow it. That is why sizing a step takes judgment rather than a formula.
Where the Zone Lives in T.H.R.I.V.E.
The Goldilocks Growth Zone isn’t a separate framework. It is how T.H.R.I.V.E. sizes each loop.
Target is where we first size a step, choosing one meaningful enough to matter and tractable enough to influence. Hypothesize names what we expect the step to produce. Reach engages it fully. Investigate and Validate read which edge, if any, we touched. Evolve turns what we learned into change, and over time it moves the zone itself.
Seen this way, every loop is both a step toward our Destination and a fresh chance to size the next step better.
Too Small, Too Big, Just Right
Every step we take lands somewhere between too small and too big. Naming both edges helps us recognize the space between them, where growth comes most readily.
Too Small: The Bunny Slope
A step that is too small keeps us inside our comfort zone. We plod along at the same pace, repeating what we can already do. Because the outcome is never in doubt, the step gives us no meaningful hypothesis to test and little new to learn from.
Yet the bunny slope has its place. Easy repetition consolidates what we’ve learned, builds consistency, and gives us room to recover. It simply doesn’t extend what we can do. When too-small steps become our default, not enough changes, and our baseline stays where it was.
Teams and organizations have their own bunny slope: business as usual. Work gets done and routines stay steady. With no experiment underway, though, there is little to discover and nothing that stretches what the team can do.
Too Big: Lasting Harm and a Falling Baseline
A step that is too big brings more failures than we can learn from. When failures pile up, learned helplessness can set in, the opposite of Learned Resilience. Instead of learning that our effort pays off, we learn that it doesn’t.
Too big can also do lasting harm. One overwhelming setback can wound us in ways that outlast the attempt itself. It gives our saboteur voices fertile ground, and old songs from our Inner Jukebox start playing louder. Some stretches also risk physical harm, to ourselves and to the people around us.
Big steps carry quieter costs as well. Like a Waterfall project, they can pour effort in the wrong direction or into something that proves to have no value. They are often too big to think through fully, and they leave few chances to correct course toward our North Star. Because each big step takes so long, we also complete fewer loops and learn less often.
Over time, repeated too-big steps can keep lowering our baseline, the mirror image of what a right-sized step can do. Each setback leaves us a little less willing, and a little less able, to take on the next stretch. In teams and organizations, a failed big initiative can likewise leave people wary of the next change.
Just Right: Joe’s Short Traverses
I learned how much the size of a step matters on a ski trip with my friend Joe. It was only his second time on skis. Instead of spending the day on the bunny slope, we went to the top of the mountain, in strong winds. We didn’t point our skis straight down the black diamond. Instead, we made very many, very short traverses across the slope.
Joe fell well over 100 times that day. Yet each traverse was short enough that every fall was recoverable, and each fall brought immediate feedback. We reviewed every traverse, so Joe could carry what worked into the next one. Heading straight down might have been faster. It could also have ended in serious injury, for Joe and for others on the slope.
What made the zone just right wasn’t the mountain. It was three things together: steps short enough to recover from, Joe’s trust that I was solving for his learning, and falls whose consequences he could absorb. Most people who hear this story tell me they wouldn’t want to learn to ski with me. That’s a fair reaction, and it makes the point. Without the short steps, the trust, and the recoverable falls, the same mountain would have been far too big.
As I wrote in Talent Code Applied, 100 small risks and 100 small falls beat one big risk of heading straight down that black diamond. I came up with the approach on the spot. It drew less on anything I had read than on decades of competitive Ultimate and of building iterative ways of working in software. Nearly a decade later, I noticed how closely it echoes the advice Jim Collins and Morten Hansen offer in Great by Choice: fire bullets, then cannonballs. In other words, we calibrate with small, low-risk shots before committing everything to one.
Short Stretches, Small Corrections
Sailing offers another picture of right-sized steps. When the wind allows, we sail a brief stretch straight toward what we believe is the goal. Then we check whether that is still the right direction, and adjust if it isn’t.
Tacking comes in when the direction we want runs straight into a headwind we can’t overcome. Sailing directly at it loses ground, so we angle across the wind in short stretches, correcting course at each turn. Either way, we never sail ten miles before asking whether we’re still heading where we want to go. Short stretches keep each correction small.
Sizing the Target
Every T.H.R.I.V.E. loop begins with Target, and Target is where we first size a step. A good Target matters enough to justify the effort and is tractable enough to influence. Sizing it well is how we choose a step inside the Goldilocks Growth Zone rather than stumbling into one.
Two Targets: Destination and Approach
In T.H.R.I.V.E., Target holds two distinct choices. The Destination is the objective we hope to reach: what we are solving for. Approach, the second choice, is how we currently believe we can best move toward it.
The Goldilocks Growth Zone sizes the Approach, not the Destination. A Destination can be bold, and we can still reach it through steps that are each right-sized. Keeping the two apart lets us aim high without asking any single step to carry the whole ambition.
An Ambitious Destination, a Right-Sized Approach
Joe’s Destination on the slopes was ambitious: getting down an expert slope on only his second time on skis. His Approach was modest by design: very many, very short traverses, each small enough to fall, learn, and go again.
The same split serves teams and organizations. A company might set out to transform how it builds software, a Destination that could take years. Its Approach can still be a series of small experiments, each sized so the team can test it, learn from it, and choose the next one.
When a Destination feels overwhelming, the first move is often to shrink the next step rather than the ambition. A right-sized Approach lets a bold Destination stay bold.
What Sets the Size: Amplification, Consequences, Reversibility
Minimal is relative. How small a step should be depends on how much the surrounding system amplifies it. As Executive VP of Engineering at Twitch, I suggested an experiment: advertising on Twitch itself that we were hiring engineers. Many engineers are gamers, and hiring people who are passionate about a mission is always good.
Twitch already had a large, passionate community, so even the smallest experiment brought a flood of resumes. Our next steps had to be smaller still. We kept tuning which message we showed, how and when we showed it, and to which audience. Eventually, we found a flow of applicants that was both well qualified and manageable to review.
Consequences matter as much as size. A step whose failure we can absorb, or undo, can safely stretch further than one whose failure would be costly or permanent. That is why reversibility is such a powerful sizing tool. When we can undo a change that doesn’t work, a bolder step can still sit inside the zone.
Small Enough to Accept, Big Enough to Matter
For teams and organizations, size shapes acceptance as well as learning. People tend to resist imposed solutions, yet they are often open to experiments. Minimal Viable Process Change builds on that: a small, reversible change, introduced as an experiment, meets far less resistance than a mandate.
For a team, viable means solving for a purpose people understand. When the Destination has been clearly communicated, a small step toward it makes sense to the people taking it. Small lowers resistance, while purpose gives the step meaning. Even skeptics may invite the experiment, expecting to be proven right.
Some resistance runs deeper than skepticism. Harvard researchers Robert Kegan and Lisa Laskow Lahey call it immunity to change: hidden competing commitments, held in place by big assumptions, that quietly pull a person or a whole team back. Their way through is to test those assumptions with safe, modest experiments that could prove us wrong. Right-sized steps work the same way, keeping anxiety tolerable while inviting disproof. Their map shows what to test, and the Goldilocks Growth Zone helps size each test.
In Minimal Viable Process Change, I describe where to plant such a seed. It starts with a friendly but credible early adopter and an impact that is measurable and notable, yet outside the mission-critical path. That placement keeps the step big enough to matter and small enough to accept.
Recalibrating the Destination
Sizing the Approach well depends on aiming at the right Destination. Yet what we believe is the goal can shift as we learn. A Destination that made sense three loops ago may no longer serve the purpose it was meant to serve.
Start with 5-Whys describes Boundary Rituals for exactly this moment. They are small, intentional practices of renewed inquiry at natural edges, such as finishing a phase or facing a surprising result. A boundary briefly reopens the larger choice. It asks whether our momentum still reflects intention or has quietly become inertia.
Short, right-sized loops create many such edges. Each one gives us a chance to confirm the Destination, adjust it, or replace it, before momentum carries us somewhere we never meant to go.
Reaching Into the Zone
Reach is where a well-sized Target meets reality. In T.H.R.I.V.E., it asks us to engage fully with the step we chose, committing enough to produce clear evidence without clinging to the outcome.
Support Expands the Zone
The zone isn’t set by us and the challenge alone. Support changes it. With coaching, trust, and the right resources, we can take on stretches we couldn’t manage by ourselves.
Joe’s traverses worked partly because support came with them. He trusted that I was solving for his learning, and someone was beside him to make sense of each fall. Teams reach further with support too. Clear priorities and time to experiment widen what a team can safely take on. So do leaders who treat a failed experiment as information rather than a mark against anyone.
Support works best when it can step back as competence grows. Mentors, scaffolding, and guardrails let us reach further today. Over time, the stretch becomes our own, and the support can move on to someone else’s next step.
When Difficulty Means We’re Growing
A meaningful Reach usually asks something of us beyond what is certain or comfortable. Difficulty, then, isn’t automatically a sign that something has gone wrong. Often it is the environment where new capability takes shape.
The useful question is not whether a step feels hard, but what kind of hard it is. Productive difficulty is effortful and uncertain, yet we can still recover, learn, and choose. Destructive difficulty overwhelms our judgment and leaves us unable to make sense of what happened.
Fully engaging with a hard step also produces better evidence. When we hold back, a miss tells us little: was the approach wrong, or did we never really try it? Committing to the Reach, while staying open to what it shows us, turns difficulty into information.
A Real Reach on Day One
At IMVU, I systematized onboarding around a real Reach on a new engineer’s first day. Scripts and runbooks set up each person’s environment and permissions based on their role. A chosen MVP change waited, ready to code, so new engineers could make a production improvement on their very first day.
That first step was a genuine stretch: a new codebase, a new team, and a live product. Yet we sized everything around it to make success likely. Automation handled the setup, and we chose a small change in advance.
It also set two mindsets from the start. We are here to improve the customer experience from day one, and we leave anything we touch better than we found it. A first Reach sized this way builds confidence and capability at the same time.
Reading the Edges
Edges are easier to read early than late. In T.H.R.I.V.E. loops, Investigate and Validate give us a regular moment to ask which zone a step put us in. The signs here are indicators rather than hard thresholds, and they tell us most when we look for several together.
Signs of a Productive Stretch
A productive stretch asks real effort of us, yet the effort stays recoverable. Mistakes happen, and each one tells us something useful. Feedback arrives quickly enough to act on in the next attempt.
We can also name what we learned. Even after a stumble, we want to go again, much as Joe did after each fall on the slopes. Our sense of agency holds: the outcome feels uncertain, but our choices still matter.
Teams show similar signs. Retrospectives surface genuine lessons, people offer ideas freely, and each experiment changes what the team tries next.
Signs We’re Under-Stretched
Under-stretched steps are quiet. Outcomes become predictable, and loop after loop brings few surprises. We go through the motions on autopilot, and when asked what we learned, we struggle to answer.
Boredom can be a useful signal here, along with a growing restlessness. So can results that look the same from one loop to the next. For teams, the signs include retrospectives with little to say and plans that repeat last quarter’s with new dates.
Signs We’re Over-Stretched
Over-stretched steps tend to announce themselves early, if we are listening. Our judgment starts to slip, and decisions feel rushed or reactive. Mistakes stop teaching us, because we can no longer tell what caused them.
Our inner voices shift as well. When saboteur voices grow louder and old songs from our Inner Jukebox start to play, they often signal a step that has outgrown our current capacity. Other signs include rising distress, a shrinking sense of agency, and falls we can no longer recover from quickly.
For teams, the signs include missed commitments that keep compounding, quieter meetings, and blame creeping into conversations that used to be curious. Noticing these early gives us room to adjust before a setback does lasting damage.
Adjusting the Next Step: Shrink, Hold, or Grow
Reading the edges matters only if it shapes the next step. If the signs point to over-stretch, we shrink: shorter steps, more support, or lower consequences, so each fall stays recoverable.
When the signs point to a productive stretch, we hold. Repeating a step that is working lets the learning settle until it becomes routine. Once the signs point to under-stretch, or a stretch has quietly become easy, we grow the next step.
Shrinking a step after an overreach is a calibration, not a retreat, and holding is not standing still. Each adjustment is simply our next hypothesis about what size of step will help us grow.
Evolve
Evolve is where a loop’s learning becomes change. In T.H.R.I.V.E., it asks what should evolve, given what we now know, before we choose the next Target. The answer can touch our approach, our strategy, the systems we work within, our capabilities, and even how we learn.
Taking a Breath
Evolving starts with a pause. After a Reach, we step away long enough to breathe, recover, and let the experience settle. That pause isn’t a break from growth. It is where the learning crystallizes and burns in.
Without it, loops blur together. We rush from one attempt to the next, and lessons that could have changed our approach never have time to take hold. A short pause between attempts, a walk after a hard conversation, or a quiet retrospective after a sprint gives us room to absorb what just happened.
Recovery, then, serves evolving rather than standing as an end in itself. We step away not only to restore our energy, but to return seeing more clearly what should change.
Holding the Gains: Habits and Rituals
What a loop teaches can fade unless something holds it. For individuals, that something is often a habit. James Clear’s Atomic Habits shows how small, repeated actions can make a change part of who we are.
For teams and organizations, rituals do the same work. As Atomic Rituals describes, habits are what we do when no one is watching. Rituals, by contrast, are what we do when everyone is watching. We can introduce a minimal viable ritual with a declared hypothesis, then revisit it in retrospectives. That way, a team keeps what works and lets go of what doesn’t.
Yet habits and rituals hold the gains only while they stay alive. T.H.R.I.V.E. treats what worked as evidence, not doctrine. Even a ritual that served us well can lock a local solution in place after conditions change. For that reason, each one stays open to the next Evolve.
Evolving How We Learn
The deepest form of Evolve changes how we learn, not just what we do. Over many loops, we can improve how we choose Targets, size steps, and read the evidence they produce.
At IMVU, I made improving onboarding for the next engineer a primary goal of each new engineer’s onboarding. Every hire refined the scripts, runbooks, and documentation they had just used. In this way, the process that taught each new engineer kept learning with every cohort.
Building improvement into a process means the loop itself evolves. Each cycle leaves the next one a little easier to enter and a little richer to learn from.
The Zone Moves: A Rising Baseline
The Goldilocks Growth Zone is not a fixed place. As we grow, the step that once stretched us becomes ordinary, and the zone moves up with us.
Getting Up and Leveling Up
Grit and bounce-back resilience matter. They keep us in the game, helping us get up after each fall and try again. Learned Resilience builds on them with a yes-and: we still get up each time, and we also level up each time.
Leveling up is what moves the zone. In my own running, I worked to beat the clock on runs and workouts. Over time, a distance I could once run in a given time only with real strain became ridiculously easy. Work follows the same pattern: a presentation that once kept us up the night before becomes something we prepare in an afternoon. Because what once stretched us is now routine, the next just-right step sits a little higher.
Over many loops, these small rises add up to a higher baseline. Rather than returning to where we started, we return to where we have grown. Throughout my career, I’ve watched teams, organizations, and the people I’ve led raise their baselines this way. The systems we touch evolve with us, too.
Not Every Loop Raises the Zone
Progress rarely moves in a straight line. Some loops consolidate what we’ve learned without extending it. Others show that we overreached, and the next step needs to be smaller. Still others call for rest before we can move on.
None of these loops goes to waste. A loop that shrinks our next step can still deepen our understanding, and a pause can let the learning settle. What matters is the direction over many loops, not the height gained in any single one.
The baseline can also fall. Repeated steps that are too big can wear it down, just as right-sized steps can build it up. Recalibrating honestly, loop after loop, is how we keep the overall direction upward.
Two Kinds of Growth That Compound
Two kinds of growth rise together in the Goldilocks Growth Zone. One is what we can do: skills, capacity, and confidence that once lay beyond us. The other is how well we choose the next stretch, which includes sizing it, reading its edges, and learning from it.
Early on, many of us misjudge the zone. We take on too much, settle for too little, or miss the signs that a step has stopped serving us. With feedback, coaching, and reflection, that judgment improves. Over time, we notice sooner, size better, and recover faster.
Each kind of growth feeds the other. Better-chosen steps teach us more per loop, and greater capability opens room for bolder steps that are still right-sized. Eventually, that compounding can make growth feel less like a grind and more like momentum. Teams experience the same effect, since running many small experiments makes them better at choosing the next one.
The Goldilocks Growth Zone for Teams and Organizations
Teams and organizations have a Goldilocks Growth Zone of their own. It shares the same edges as an individual’s, yet it depends on more people, more systems, and more trust.
Individuals Optimize, Teams Harmonize
As I wrote in Atomic Rituals, individuals can optimize, while teams must harmonize. One person can tune a habit to their own stretch without anyone else’s buy-in. A team, by contrast, has to co-create its rituals and align around shared goals and a shared sense of success.
That makes a team’s zone harder to size. A step that stretches one person well may overwhelm another and bore a third. The right size for the team balances these differences, so the step is a real stretch for the group without overwhelming anyone in it.
One size rarely fits every team, either. At IMVU, I had five teams using five different software development methodologies, each using what worked best for them. Each team found its own zone, and each zone could rise on its own schedule.
Minimal Viable Process Change
Minimal Viable Process Change applies the Goldilocks Growth Zone to how teams change the way they work. Each experiment runs through a T.H.R.I.V.E. loop in short cycles, often a single sprint. Target names what the team is solving for, and Reach introduces the change into the workflow. Investigate and Validate then measure and examine the results together. In Evolve, we keep, adjust, or discard the change, and we reverse it if the experiment fails.
Over time, these small experiments compound. Openness to failure makes a second experiment more palatable, and a team that sees small changes work grows more willing to try the next one. Experiments lead to behaviors, behaviors become practices, and practices evolve into culture.
My own approach to process change evolved this way too. It began during my years as an architect on the world’s first integrated software development environment. Later, at Yahoo, I used MVPC before it had a name. I first and most heavily developed it at Twitch and have applied it everywhere since.
Onboarding as a Rising Baseline
At Twitch, we grew engineering from 33 people to over 100 within a year. Using MVPC, we made onboarding efficient enough to bring new hires fully up to speed without distracting our key engineers.
The process became so well organized that a hire with only two weeks at Twitch could mentor the next one. Each mentor stayed two weeks ahead in the documented onboarding. That was the rising baseline at team scale: yesterday’s newcomer became today’s guide.
It built on what I had systematized at IMVU, where each new engineer improved onboarding for the next. With every cohort, the team’s starting point rose a little higher.
Growth and Systems Co-Evolve
Teams and the systems they work within co-evolve. Good processes make growth possible. In turn, growth pushes a team toward the edge of chaos, where pressure creates the cracks in which better processes can take root.
That pressure is fertile only when each step stays right-sized. Rapid growth met with sweeping overhauls can break what is already working. The same growth met with minimal viable changes lets processes evolve as fast as the team does.
Sometimes a team outgrows its processes, and the system itself becomes the constraint. People may still have plenty of capacity, yet architecture, release practices, or coordination hold them back. Seen this way, the Goldilocks Growth Zone applies to systems as well. The next right-sized step may change how a team works rather than what it works on.
Related Ideas
The Goldilocks Growth Zone draws on many ideas that came before it. Five share its spirit most closely, and each adds something to how we understand right-sized growth.
Zone of Proximal Development
Psychologist Lev Vygotsky described the zone of proximal development in Mind in Society (1978). It is the distance between what a learner can do through independent problem solving and what they can do with adult guidance or with more capable peers.
Vygotsky’s idea shares much with this page, especially the role of support. With help, we can reach further than we can alone, and that help can step back as our competence grows. The Goldilocks Growth Zone carries that insight further. It applies it to step size and repeated loops, and to a baseline that keeps rising for teams and organizations as well as learners.
Atomic Habits and the Goldilocks Rule
In Atomic Habits, James Clear describes the Goldilocks Rule: we experience peak motivation when working on tasks right at the edge of our current abilities. He links it to flow, a state of intense focus in which the surrounding world fades away. More broadly, his work shows how small, repeated habits compound into lasting change.
Atomic habits are deliberately easy to start, which can seem at odds with a real stretch. The two fit together once we separate size from stretch. Atomic describes the size of a step, and the stretch is what makes it viable. The Goldilocks Growth Zone builds on Clear’s work. It adds the MVP of challenge, the number of loops we complete, and a zone that moves as we grow.
Talent Code Applied
In The Talent Code, Daniel Coyle describes deep practice: operating at the edges of our ability, where we make mistakes, attend to them, and try again. He links that struggle to myelin, which strengthens the brain circuits we fire again and again.
My Talent Code Applied page tells the story of Joe’s short traverses, an approach I improvised on the slopes and only later recognized as deep practice in action. It also connects deep practice to related approaches, such as Jim Collins and Morten Hansen’s fire bullets, then cannonballs, Lean Startup’s build, measure, learn, and the OODA loop.
Edge of Chaos
Complexity scientists use the edge of chaos to describe the zone between rigid order and turbulent chaos. Chris Langton explored it in his 1990 paper, Computation at the Edge of Chaos. He found that a system’s capacity to transmit, store, and modify information is greatest near the transition between the two.
This idea parallels how growth and systems co-evolve. Rapid growth pushes a team toward that edge, where pressure opens room for better processes. Right-sized steps help the team stay at the fertile edge rather than tipping into chaos.
Theory of Constraints
Eliyahu Goldratt introduced the Theory of Constraints in his 1984 business novel, The Goal. Its premise is that every system has a constraint limiting its overall output, and that improving anything else does little until we address it. Goldratt’s five focusing steps ask us to identify the constraint, exploit it, subordinate everything else to it, and elevate it. Then we start again, without letting inertia become the new constraint.
This lens helps when a team’s growth stalls. Sometimes people still have room to stretch, yet a process, tool, or handoff holds everything back. In that case, the next right-sized step may target the constraint itself, so growth and the system keep evolving together.
Glossary
Goldilocks Growth Zone
The range of challenge that is big enough to stretch us, yet small enough to repeat, learn from, and build on. Through T.H.R.I.V.E. loops, the zone can rise over time as what once stretched us becomes routine.
MVP of Challenge
A way of sizing a step, borrowed from Lean Startup’s minimum viable product. Minimal means as small as possible, viable means big enough to be a real stretch, and product means the step produces a measurable result we can learn from.
Rising Baseline
The level of capability we return to after each loop. In Learned Resilience, we not only bounce back to where we were but rise to a higher baseline. As a result, the next just-right step sits a little higher.
Destination
One of the two choices in a T.H.R.I.V.E. Target: the objective we hope to reach, or what we are solving for. A Destination can be ambitious even when each step toward it is small.
Approach
The other choice in a T.H.R.I.V.E. Target: how we currently believe we can best move toward the Destination. The Goldilocks Growth Zone sizes the Approach rather than the Destination.
Evolve
The sixth step of T.H.R.I.V.E., where a loop’s learning becomes change. It includes taking a breath so learning can settle, holding gains through habits and rituals, and improving how we learn. Over time, Evolve can move the zone upward.
Minimal Viable Process Change (MVPC)
A small, reversible, measurable change to how a team works, introduced as an experiment rather than a mandate. Run through short T.H.R.I.V.E. loops, it applies the Goldilocks Growth Zone to process change.
Atomic Rituals
Small, shared practices that a team repeats and evolves together. Habits are what we do when no one is watching, while rituals are what we do when everyone is watching.
Learned Helplessness
A state, first described by psychologist Martin Seligman, in which repeated failure teaches us that our effort doesn’t matter, so we stop trying. It is the opposite of Learned Resilience, and steps that are too big can bring it on.
Co-Evolution
The way growth and the systems that support it shape each other. Good processes make growth possible, and growth creates the pressure that invites better processes.
Supported Capacity
What we can take on with coaching, trust, resources, and collaboration, beyond what we can do alone. Support widens the Goldilocks Growth Zone, and it can step back as our competence grows.
FAQ
How do we know what size of step is right?
We look for the smallest step that is still a real stretch and produces a measurable result. A useful test is whether we can name what we expect to learn, recover quickly if we fall, and try again soon. During the loop, signs of a productive stretch confirm we are in the zone: real but recoverable effort, informative mistakes, and fast feedback. Support, consequences, and reversibility can all shift the right size, so sizing takes judgment rather than a formula.
Is smaller always better?
No. Smaller is better only down to the point where a step is still viable. A step so small that it stretches nothing keeps us on the bunny slope, with little to learn. Within the zone, we usually prefer the smallest viable step, because it buys more loops, earlier feedback, and smaller corrections.
What happens when a step turns out to be too big?
We shrink the next one. Signs of over-stretch include slipping judgment, rising distress, mistakes that stop teaching us, and louder saboteur voices. Once we notice them, we can shorten the step, add support, or lower the consequences, so each fall stays recoverable. Shrinking a step is a calibration, not a retreat, and it protects our baseline from the lasting harm that too-big steps can do.
How does this differ from a comfort zone or a growth mindset?
The comfort zone describes where we feel at ease, and stepping beyond it is often where learning begins. Carol Dweck’s growth mindset is the belief that our abilities can grow through effort and learning. The Goldilocks Growth Zone builds on both. It focuses on how far to step beyond our comfort zone, in steps sized to repeat and learn from. Over time, that zone rises along with our baseline.
How does the Goldilocks Growth Zone apply to teams?
Teams have their own zone, shaped by more people, more systems, and more trust. Because individuals can optimize while teams must harmonize, a team’s step has to stretch the group without overwhelming anyone in it. Minimal Viable Process Change applies the zone to how teams work, through small, reversible experiments with a clear purpose, reviewed together. Over several loops, what proves its value can become a ritual, and the team’s baseline rises.
See Also
From Talent Whisperers
T.H.R.I.V.E.
The T.H.R.I.V.E. page describes the loop at the heart of this page: Target, Hypothesize, Reach, Investigate, Validate, and Evolve. Target holds two choices, a Destination and an Approach, and Reach asks for full engagement without attachment. The page also shows how Evolve can change our approach, our strategy, our systems, and even how we learn. Readers who want to see where the Goldilocks Growth Zone fits within the full loop will find the complete picture there.
Learned Resilience
Learned Resilience is the larger framework this page serves: a repeatable way to turn challenges and setbacks into growth. Its core idea is that we don’t simply bounce back to our old baseline, because we keep raising it. It stands in contrast to learned helplessness, the outcome that repeated too-big steps can bring on. Anyone curious about why right-sized steps matter so much will find their deeper purpose there.
Minimal Viable Process Change
Minimal Viable Process Change applies the Goldilocks Growth Zone to how teams change the way they work. It shows how T.H.R.I.V.E. runs in short, sprint-sized loops when a team changes how it works. The page explains why small, reversible experiments meet far less resistance than mandates, and where to plant the first one. It also shows how experiments become behaviors, practices, and eventually culture. Leaders sizing their next process change will find practical guidance there.
Atomic Rituals
Atomic Rituals explores how small, shared practices help teams improve together over time. It draws the distinction this page uses: habits are what we do when no one is watching, while rituals are what we do when everyone is watching. The site also explains why individuals can optimize while teams must harmonize. Its guidance on minimal viable rituals, revisited in retrospectives, shows how teams can hold the gains of each loop while staying open to change.
Start with 5-Whys
Start with 5-Whys takes the familiar 5 Whys in an entirely different direction, using recursive curiosity to find the core why behind what matters to us. It also introduces Boundary Rituals, small practices that reopen the larger choice at natural edges. Those rituals help us recalibrate our Destination before momentum carries us somewhere we never meant to go. Readers sizing an Approach will find a way to check that the Destination still deserves it.
Saboteurs and Allies
Saboteurs and Allies maps the inner voices that hold us back and the ones that help us grow. It draws on coaching frameworks, psychology, and many spiritual and philosophical traditions. On this page, those voices appear both as a consequence of steps that are too big and as an early warning. Practices such as naming our saboteurs help us recognize them, while allies such as wisdom, courage, and self-trust help us move forward. Readers noticing louder inner critics during a stretch will find ways to understand and respond to them there.
Our Inner Jukebox
Our Inner Jukebox explores the songs that play within us. Some songs lift us, while others replay old doubts at the worst possible moments. On this page, louder jukebox songs are one sign that a step may be outgrowing our capacity. The jukebox page explores where those songs come from and how we can relate to them differently.
Stories From Practice
Talent Code Applied
Talent Code Applied tells the full story of Joe’s short traverses on the slopes, an approach I came up with on the spot. Each fall gave quick feedback for the next try. About eight months later, the first version of the page connected the story to Daniel Coyle’s deep practice and the OODA loop. An early addition brought in Lean Startup’s build, measure, learn, while Jim Collins and Morten Hansen’s fire bullets, then cannonballs came nearly a decade after the ski day. Drawing on David Epstein’s Range, the page also explores how varied practice helps us recognize and master patterns. Readers who want the longer version of the ski story, or more on deep practice, will find both there.
Against All Odds
Against All Odds traces the engineering journey behind several stories on this page. It begins with Softlab’s MAESTRO, the world’s first integrated software development environment, and continues through Yahoo! Games. It then covers IMVU, where the team helped codify what became known as Lean Startup, and the rapid scaling of engineering at Twitch. Readers curious about where these practices took shape will find their origins there.
Edge of Chaos: Where Adaptation Emerges
Edge of Chaos: Where Adaptation Emerges explores the edge of chaos in startups and fast-growing teams. The edge of chaos is the zone between rigid order and turbulent disorder, where adaptation and innovation tend to emerge. Rapid growth pushes a team toward that edge, where pressure can open room for better processes or tip into breakdown. Right-sized steps help a team stay at the fertile edge rather than tip over it. Readers leading through breakout growth will find the startup side of that story there.
Learning and Psychology
The Goldilocks Effect
In this 2012 PLOS ONE study, Celeste Kidd, Steven Piantadosi, and Richard Aslin tracked where 7- and 8-month-old infants directed their attention. Using an ideal learner model to score each event’s complexity, they found infants most likely to look away from sequences that were either very simple or very complex. The authors called this the Goldilocks effect: infants seem to avoid spending cognitive resources on events that are overly simple or overly complex. Their finding suggests our pull toward just-right complexity begins very early in life, long before anyone sets us a goal.
Making Things Hard on Yourself, But in a Good Way
In this chapter, UCLA psychologists Elizabeth and Robert Bjork describe desirable difficulties: conditions that make learning feel harder yet make it last. Their examples include spacing practice over time, interleaving different topics, varying the conditions of practice, and testing ourselves rather than rereading. Each can slow apparent progress while strengthening long-term retention. Crucially, a difficulty is desirable only when learners can respond to it successfully. Without the needed background knowledge or skills, it becomes an undesirable difficulty that hinders learning, much like a step that is too big.
Flow
In Flow, psychologist Mihaly Csikszentmihalyi describes optimal experience: moments of deep absorption when we lose track of time. He found that flow tends to arise when a challenge matches our skills. Challenges far below our skills breed boredom, while those far above them breed anxiety. Because our skills grow as we engage, the challenge must keep rising to keep us in flow. That dynamic closely parallels a Goldilocks Growth Zone that moves upward as we grow.
Mind in Society
Mind in Society gathers essays by psychologist Lev Vygotsky, edited by Michael Cole, Vera John-Steiner, Sylvia Scribner, and Ellen Souberman. Vygotsky argues that we can’t understand the mind apart from society, and that cultural tools such as language shape how we think. The book is also the classic source of the zone of proximal development. That zone describes what a learner can do with guidance or with more capable peers, beyond what they can do alone. Readers interested in the role of support, which widens the Goldilocks Growth Zone, will find its roots there.
The Eighty-Five Percent Rule for Optimal Learning
In this 2019 Nature Communications paper, Robert Wilson, Amitai Shenhav, Mark Straccia, and Jonathan Cohen derive an optimal error rate for learning of about 15.87 percent. Put simply, learning is fastest when we succeed roughly 85 percent of the time. Their result comes from simple binary classification tasks and gradient-descent learning, so applying it to people is an extrapolation. Even so, it offers a striking echo of the Goldilocks Growth Zone. Challenges should be hard enough to produce some errors, but not so hard that errors dominate.
Mindset
In Mindset, Stanford psychologist Carol Dweck contrasts a fixed mindset, the belief that our abilities are set, with a growth mindset, the belief that they can be developed. Her research explores how these beliefs shape the way we meet challenges, setbacks, and effort. The updated edition also describes a false growth mindset and applies the idea to groups and organizational cultures. Parents, leaders, coaches, and athletes will each find applications. The Goldilocks Growth Zone builds on that foundation by sizing the steps that turn a growth mindset into actual growth.
Learned Helplessness at Fifty
In this 2016 Psychological Review article, Steven Maier and Martin Seligman revisit the learned helplessness research they began fifty years earlier. Drawing on neuroscience, they conclude that the original theory had it backward. Passivity in the face of prolonged, uncontrollable setbacks appears to be the default response, while what we actually learn is control. Detecting that our actions matter is what lets us push past that default. That suggests experiences of control, such as right-sized steps that succeed, may be what teach us to keep trying.
Sports, Martial Arts, and Skill
The Talent Code
In The Talent Code, Daniel Coyle explores how skill grows through deep practice, ignition, and master coaching. Deep practice means working at the edge of our ability, where we make mistakes, attend to them, and try again. Coyle links that struggle to myelin, a substance that makes the brain’s circuits faster and more accurate and that can keep growing. His account of struggle at the edge offers a close parallel to the Goldilocks Growth Zone. Readers curious about the science behind short, repeated stretches will find it explored in depth there.
The Art of Learning
In The Art of Learning, Josh Waitzkin reflects on reaching the top of two very different fields: championship chess and Tai Chi Push Hands. His Push Hands training illustrates an investment in loss: practicing with stronger, more experienced partners and treating repeated defeats as the price of learning. He also describes making smaller circles, refining a technique until large movements become small, precise, and powerful. Drawing on Carol Dweck’s research, he contrasts incremental and entity approaches to learning. Readers interested in how a deliberate stretch, kept recoverable, builds mastery in martial arts and beyond will find a vivid account there.
The Role of Deliberate Practice in the Acquisition of Expert Performance
In this 1993 Psychological Review paper, K. Anders Ericsson, Ralf Krampe, and Clemens Tesch-Römer introduced the idea of deliberate practice. Studying violin students at a Berlin music academy, they found the best had accumulated far more solitary practice over the years. They described deliberate practice as effortful work on tasks of appropriate difficulty, with informative feedback and chances to repeat and correct errors. The best performers also limited such practice to a few hours a day and rested more. Later research suggests practice explains less of the difference between performers than the paper implied. Even so, its account of what makes practice effective closely matches the Goldilocks Growth Zone.
Progression Models in Resistance Training for Healthy Adults
In this 2009 position stand, the American College of Sports Medicine sets out how strength training should progress over time. Its premise is that continued gains require progressive training. One guideline captures the idea neatly: when we can exceed our target repetitions by one or two, we add about 2 to 10 percent to the load. Its recommendations also differ for novices and advanced lifters, so the right next step depends on where we are. Strength training thus offers a concrete, measurable version of a zone that rises along with our baseline.
James Clear’s Goldilocks Rule
In this article, James Clear explains the Goldilocks Rule: we experience peak motivation when working on tasks right at the edge of our current abilities. He connects that edge to flow, a state of intense focus in which the surrounding world fades away. The rule also appears in chapter 19 of his book Atomic Habits. It complements this page’s focus on step size, repeated loops, and a rising zone.
Business and Systems
Immunity to Change
In Immunity to Change, Harvard researchers Robert Kegan and Lisa Laskow Lahey explain why people and organizations so often fail to make changes they sincerely want. Beneath the behaviors that block a goal, they find hidden competing commitments, held in place by big assumptions about what would happen if we changed. Their four-column map helps surface those assumptions, whether for a person or a whole team. They then suggest testing each assumption with safe, modest experiments designed to produce disconfirming data. Readers looking for the inner side of resistance, the part small process experiments alone may not reach, will find a practical method there.
Fire Bullets, Then Cannonballs
On this page, Jim Collins describes fire bullets, then cannonballs, a concept from Great by Choice, which he wrote with Morten Hansen. Bullets are low-cost, low-risk, low-distraction experiments that show what works. Once a bullet hits, we can concentrate our resources in a calibrated cannonball. Firing uncalibrated cannonballs, by contrast, risks disaster. The idea mirrors this page’s case against too-big steps and its preference for testing small before committing everything.
The Lean Startup
Eric Ries’s Lean Startup site introduces his approach to building new products under extreme uncertainty. At its heart is the build, measure, learn feedback loop, which aims to move through each cycle as quickly as possible. Its minimum viable product, the smallest version that lets us start learning, inspired this page’s MVP of challenge. Validated learning, meanwhile, asks us to test our assumptions against real evidence. Readers interested in how these ideas apply to startups will find them summarized there.
The Goal
The Goal is a business novel by Eliyahu Goldratt and Jeff Cox, first published in 1984. In it, plant manager Alex Rogo has three months to turn around a struggling factory. Guided by Jonah, a former physics professor who teaches through questions, his team learns to find and manage the bottlenecks that limit the whole plant. The story introduced many readers to the Theory of Constraints. Readers whose growth seems stalled by a process rather than by people will find a memorable way to think about constraints there.
Across Other Fields
Nicomachean Ethics, Book II
In Book II of the Nicomachean Ethics, Aristotle argues that virtues come about through habit: we become just by doing just acts and brave by doing brave acts. He also describes the mean as what is neither too much nor too little, relative to us. His example comes from training. If ten pounds of food are too much and two too little, a trainer won’t simply prescribe six. That amount may be too little for the wrestler Milo, yet too much for a beginner. More than two thousand years ago, Aristotle captured both the practice that builds capability and a just-right that depends on the person.
Computation at the Edge of Chaos
In this 1990 Physica D paper, Chris Langton studied simple computer models called cellular automata. He found that the conditions best suited to transmitting, storing, and modifying information arise near a phase transition between order and chaos. His work helped popularize the phrase edge of chaos in complexity science. Applying it to people and teams is an analogy rather than a finding. Even so, it offers a vivid picture of the fertile zone where growth and systems co-evolve.