The Low-Risk Path to Career Change: Experiments Over Leaps

The traditional narrative of career change goes something like this: you become increasingly unhappy in your current role, you soul-search until you identify what you want to do instead, you make a clean break, and you dive fully into your new path. It’s dramatic, definitive, all-or-nothing.

It’s also, according to Jess Annison’s research in Smart Careers, the wrong approach for most people.

The problem with the traditional model is that it requires you to make high-stakes decisions based on limited information. You’re supposed to know whether a new career will fulfill you before you’ve actually experienced it. You’re expected to commit before you’ve tested. It’s like being asked to marry someone based solely on their online dating profile.

Annison advocates for a fundamentally different approach: career experiments. Rather than making one big leap, you run a series of small, low-risk experiments that help you gather real-world data about potential paths. You test hypotheses. You learn what works and what doesn’t. You refine your direction based on actual experience rather than theoretical speculation.

As she writes, “There’s a limit to what we can learn without actually rolling up our sleeves and experiencing it for ourselves.” Career experiments allow you to “flirt with your possible selves” before fully committing to any particular direction.

Why Your Research and Conversations Aren’t Enough

Most career changers start with research. They scour job boards, read articles about different fields, consume career advice content. This is useful, but it has severe limitations.

First, job descriptions and industry overviews present idealized versions of roles. They tell you what the work involves in theory but reveal little about what it feels like in practice. They describe responsibilities but not the daily texture of the experience—the frustrations, the satisfactions, the unexpected challenges.

Second, even detailed conversations with people in the field you’re considering provide filtered information. People tend to emphasize certain aspects of their work while minimizing others. They might not mention the parts that have become invisible to them through familiarity. And crucially, their experience of a role is shaped by their particular strengths, preferences, and circumstances—which may differ significantly from yours.

Annison recommends “crafting conversations” (what Stanford innovators Bill Burnett and Dave Evans call “Life Design Interviews”) as a valuable step. These informal conversations help you understand someone’s career story and how they find their work in practice. They’re gold for identifying paths you hadn’t considered and understanding the realities behind job titles.

But conversations still aren’t sufficient. As one person in the book discovered after extensive research about freelancing versus employment: “I think I said last time about how much I love their stories of flexibility and autonomy, she felt she’d miss being part of an organization.” The conversation provided valuable information, but actually trying freelancing through a small experiment would provide even clearer data.

What Career Experiments Actually Look Like

Career experiments exist on a spectrum from minimal investment to substantial commitment. Annison outlines several possibilities:

Low-investment experiments include attending a conference or webinar in the field you’re exploring, joining a professional networking group (online or in-person), or studying a short course or training program. These give you a window into the work and help you assess how your skills and interests align.

Medium-investment experiments might involve participating in a company’s recruitment open day, shadowing someone who already does the job for a few days or even a week, or taking on a side project either at work or outside it to build relevant experience.

Higher-investment experiments include volunteering in the role (perhaps for a charity or community group), exploring options for a phased transition like going part-time in your current role, or even taking a short-term contract position before committing to a full change.

The key is running multiple experiments rather than betting everything on a single test. Each experiment provides data—not just about the potential path but about yourself. You discover what energizes you versus what looks appealing in theory but feels draining in practice.

The Lab Report Method: Making Experiments Systematic

One of the most valuable tools Annison provides is the lab report framework for tracking experiments. It’s adapted from a reflective model developed by educator Terry Borton and consists of three parts: What? So what? Now what?

The “What” section is completed before the experiment. You describe what you want to test, how you’re going to do it, and—crucially—your hypothesis about what you expect to happen. This hypothesis is important because it forces you to make your assumptions explicit. You might hypothesize: “I think I’ll enjoy the systematic problem-solving nature of working with data, but will need to develop my technical skills considerably.”

Having a clear hypothesis helps you know what to look for during the experiment. It gives you something concrete to test rather than just having a vague experience.

The “So what” section is completed after the experiment. You record the results: What did you enjoy or find satisfying? What was challenging or frustrating? What felt rewarding? How did the experience align with your personal purpose? What did you learn about the role or company? What did you learn about yourself?

Then you consider how these results relate to your original hypothesis. Were aspects confirmed or challenged? Often you’ll find a mix—some predictions were accurate, others were off-base in ways that reveal important information.

The “Now what” section captures what you want to do with these insights. This might include further actions or experiments, areas to explore more deeply, or paths to rule out based on what you learned.

Real-World Career Experiments: Learning From the Journey

Throughout Smart Careers, Annison shares stories of people who used experiments to navigate career changes. Their journeys reveal several patterns worth noting.

Take Tessa, who spent 20 years in technology before deciding she wanted to become a counselor. She didn’t immediately quit her IT job and enroll in a multi-year degree program. Instead, she ran a careful sequence of experiments.

First, she researched routes into counseling and talked with a friend of a friend who had recently retrained in relationship counseling. Then she dipped her toe in with an evening taster course. As she describes: “I loved it. But I still had huge reservations about whether I’d enjoy it in practice.”

Over the following year, she completed two professional certificates to build skills and confidence. In parallel, she sought out others in the field to learn about different specialisms and joined online webinars and networking events. Only after these extensive experiments did she commit to a Master’s degree in psychotherapy.

Reflecting on her journey, Tessa describes it as “a journey of many individual steps, each one pushing her out of her comfort zone and simultaneously helping to build up her confidence.” The experiments weren’t just about gathering information—they were about building capability and conviction.

Jenny’s story (the communications leader who threads through the book) shows how experiments can refine rather than completely redirect careers. Her experiments included:

• Conversations with three communications professionals who’d transitioned from employment to freelancing
• Shadowing the customer success director within her current company for a couple of days
• Completing a free online introductory course in User Experience Design

Each experiment yielded specific insights. The freelancing conversations helped her realize that while she valued flexibility and autonomy, she’d miss being part of an organization. The shadowing experience revealed genuine satisfaction with customer success work and showed how her engagement and leadership skills would translate. The UX Design course demonstrated she loved user research aspects but struggled with the technical skills required.

These experiments didn’t lead to a single “aha” moment. Instead, they gradually clarified what she wanted: a blend of part-time employment and freelance consulting focused on customer-centric communications. The experiments helped her craft a unique solution rather than forcing herself into a predefined category.

The Luck Surface Area: How Experiments Create Opportunities

One of the more counterintuitive benefits of career experiments is how they increase what entrepreneur Jason Roberts calls your “luck surface area.” The concept is simple: by doing interesting things (your experiments) and talking about them (your conversations), other interesting opportunities tend to come your way.

This isn’t mystical. It’s a straightforward function of visibility and connection. When you’re running experiments, you’re meeting new people, learning about different contexts, developing new skills. When you talk with others about what you’re exploring, you create opportunities for them to help—by making introductions, suggesting possibilities you hadn’t considered, or even directly offering opportunities.

As Annison notes, “This ‘luck’ could be an introduction to someone in a field or company you’re interested in, or being considered for a vacancy or project, or simply a conversation that helps you identify another avenue to explore.”

But the luck only increases if you do both parts of the equation. Doing interesting experiments but not talking about them limits your luck surface area. Talking enthusiastically about career changes but not backing it up with actual exploration does the same. The combination is what creates opportunity.

The Discomfort of Not Knowing

One of the hardest aspects of the experimental approach is that it requires you to sit with uncertainty for an extended period. You’re not making one clear decision and then executing on it. You’re exploring multiple possibilities, gathering data, iterating your thinking.

This ambiguity can feel uncomfortable, particularly if you’re someone who prefers clear plans and definitive answers. There’s a strong cultural pressure to “know what you want” and pursue it single-mindedly. The experimental approach acknowledges that you often can’t know what you want until you’ve tried it—and that trying multiple things before committing is wisdom, not indecision.

Jenny expresses this discomfort directly: “The only thing I’m sure of is that I want to do something. But what that is, I don’t know! Does that make sense?” Her coach’s response is telling: rather than pushing her toward premature clarity, she encourages Jenny to explore multiple options simultaneously and gather data from experiments.

This tolerance for ambiguity is itself a skill worth developing. The ability to hold multiple possibilities without needing to immediately resolve them to a single answer serves you not just in career transitions but throughout life.

When to Stop Experimenting and Commit

The obvious question becomes: how long do you keep experimenting? When is it time to commit to a direction?

There’s no universal answer, but Annison suggests several indicators that you’ve gathered enough data:

You’ve tested your top three to five possibilities through hands-on experiments, not just research and conversations. You have clear experiential data about what each path feels like in practice.

You have sufficient information about the practical requirements—training needed, financial implications, time commitments—to make an informed decision.

You’ve identified a direction that aligns strongly with multiple components of your purpose (contribution, connection, strengths use, growth, autonomy) and shows promise for sustainable fulfillment.

You’ve talked through your thinking with trusted advisors who can help you identify blind spots or considerations you’ve overlooked.

Perhaps most importantly, you have enough conviction to begin taking the practical steps toward the change, even if you’re not 100% certain it’s the “perfect” choice.

That last point matters because perfectionism is often the enemy of good-enough decisions. You’re never going to have complete certainty about a career change. You’re never going to eliminate all risk. At some point, experiments need to give way to commitment—not because you’re absolutely sure, but because you’ve reduced uncertainty to a manageable level and the potential upside justifies the remaining risk.

The Experimental Mindset as Permanent Practice

One of Annison’s key insights is that career experiments shouldn’t be a one-time process you use during a major career change and then abandon. The experimental mindset—of testing, learning, iterating—should become a permanent part of how you relate to your work.

Even after you’ve made a change and found greater fulfillment, circumstances will continue to evolve. Your interests might shift. Your organization might restructure. New opportunities might emerge. The specific blend of meaningfulness components that work for you now might need adjustment in five years.

Building an experimental habit means you’re continuously making small adjustments, testing new possibilities, staying attuned to what’s working and what isn’t. This prevents the kind of gradual drift into dissatisfaction that leads to mid-career crises in the first place.

Career experiments aren’t a detour from finding meaningful work. They’re the most direct route to it—if you’re willing to embrace the uncertainty and do the work of actually trying things rather than just thinking about them.

The question isn’t whether you should experiment with potential career paths. The question is: what’s the first small experiment you could run this month?