Latest / Career Coaching with Fexingo: Professional Coaches, Career Counselors, and Guidance for Workers / How a Career Risk Map Can Guide Your Next Big Move
Transcript
- Lucas: So, Luna, I was talking to a friend last week—she's a senior marketing manager at a consumer goods company, and she's had a standing offer to join a startup for about three months now. She keeps saying yes, then backing out. And every time, she describes the same feeling: it's not that she doesn't want to move, it's that she has no way to sort through the risk. Luna: I know that feeling—it's like your gut is saying go, but your brain is listing all the ways it could blow up. Lucas: Exactly. And that's where I think a lot of us get stuck. We treat career risk as this big, scary, undefined cloud. But you can actually break it down into parts—assign numbers, weigh trade-offs, and even calculate something close to expected value. I've started calling it a Career Risk Map. Luna: A Career Risk Map. I like that. So how do you build one? Lucas: Well, first you list every risk you can think of. For my friend, that includes things like: the startup might not have stable funding, the pay is lower initially, she'd lose some of her current benefits, and she's worried about the reputational hit if the startup fails. Luna: So it's not just about money—it's about identity, too. How do you quantify something like reputation? Lucas: You don't have to be perfect. You're looking for a rough order of magnitude. Assign a probability to each risk—maybe there's an 80 percent chance the startup has a funding gap in the next 18 months. And then estimate the impact, say on a scale of one to ten. Luna: So you end up with a score for each risk, and then what? Lucas: Then you multiply probability by impact to get a risk score, and you rank them. That gives you a clear picture of which risks are actually driving your hesitation—and which are just background noise you're overinflating. Luna: I have to say, that ranking part is freeing. It's like you're moving from 'what if everything goes wrong' to 'what specifically could go wrong, and how bad could it be, and how likely is it'. Lucas: Right. And once you've ranked them, you can start thinking about mitigation. Maybe the funding risk is real, so she could negotiate a six-month runway guarantee in her offer letter. Maybe the reputational concern can be mitigated by staying in touch with her old network—she's got a solid track record, so a failed startup won't sink her. Luna: So the map isn't just about saying yes or no—it's about making the risk smaller and more manageable. Lucas: And that's where the expected value part comes in. You can also list the upside scenarios—what's the probability the startup doubles the salary in three years, or that she gets to build a team from scratch? Weight those, add them up, and compare to the expected value of staying put. Luna: But isn't staying put also risky? Like, what if the company restructures, or the industry shifts and your skills become less relevant? Lucas: Exactly—that's the status quo bias. We tend to treat the current job as risk-free, even when it's not. When you build the map, you have to include the risks of doing nothing. For my friend, staying at the consumer goods company might mean slower growth, less learning, and a higher chance she gets bored and underperforms. Luna: So the map forces you to be honest about both sides. I love that. What's the biggest mistake people make when they try to do this on their own? Lucas: The biggest mistake is anchoring on one number—usually the salary cut. They fixate on that and ignore the other factors. The map is meant to be a holistic view. You have to look at the whole picture, not just one data point. Luna: That's a good point. And I'd add that people also tend to overestimate the probability of catastrophic events. Like, the chance of the startup going bust is real, but it's not 50 percent. The base rate for startup failure is high, but it's not doom for every single founder. Lucas: Yes, and that's where data helps. Look up failure rates for your specific industry, maybe even for founders with your friend's background. You can find real numbers instead of just gut feelings. For example, the failure rate for startups within five years is around 50 percent, but it varies hugely by sector and stage. Luna: So you're saying, do your homework. And then you can build a more accurate map. Lucas: Exactly. And once the map is built, you might still feel uncertain—but you'll know exactly where the uncertainty comes from. That's a huge step forward. It turns a vague anxiety into a concrete set of variables you can work with. Luna: I think this is one of those tools that sounds a bit exhausting at first, but once you do it a couple of times, it becomes second nature. And it's useful for all sorts of decisions, not just job changes. Lucas: Right, like deciding whether to go back to school, or whether to relocate. I used a simplified version when I moved across the country for this job, actually. I listed the risks—cost of living, distance from family, whether I'd like the smaller market—and I gave each a probability and an impact score. Luna: And what came out on top? Did the map tell you to move? Lucas: It did. The biggest risk was the cost of living—I'd be paying more rent, but the salary bump and career growth potential made it worth it. And I could mitigate the rent by choosing a smaller place. I haven't regretted it. Luna: It's like a decision matrix but with a risk twist. We've talked about decision matrices for job offers before, and I think the risk map is a natural extension—it's more forward-looking. Lucas: Absolutely. The decision matrix helps you compare two concrete offers side by side. The risk map helps you evaluate a single uncertain move—like a startup offer or a career pivot. They work well together. Luna: You know, I love that we're having this conversation, because it's a reminder that career decisions are never purely rational. We have emotions, we have attachments, we have fears. But having a structured way to look at it can help us make a choice we can live with. Lucas: And that's the real goal, isn't it? Not to eliminate risk, but to understand it well enough that you can take a calculated bet. And that's something we could all get better at. Luna: Before we go deeper into how to actually build this map step by step—I should mention, we don't do ads on this show. That's a deliberate choice we've made, and we're pretty proud of it. Lucas: Yeah, we want the conversations to be useful without interruptions. If you've gotten something out of the episodes and want to help us keep it that way, you can support us at buy me a coffee dot com slash fexingo. It's a simple way to say thanks, and it goes directly to keeping the show ad-free. Luna: We're grateful for anyone who does. But now, let's get back to the risk map. So once you've listed your risks and quantified them, how do you actually present it? Is there a format that works best? Lucas: Sure. You can use a simple spreadsheet with columns: risk, probability, impact, score, mitigation. Or even a whiteboard with sticky notes. The point isn't the tool—it's the thinking. But having it visual helps you see patterns. Luna: I can imagine someone doing this and realizing that a risk they thought was huge is actually tiny, and vice versa. That alone can shift your perspective. Lucas: Definitely. It's a great reality check. And over time, you can even track how well you estimated probabilities. If you make a move, come back six months later and see which risks actually materialized. That feedback loop builds your judgment. Luna: That's a smart long-term play. It's like calibrating your own risk radar. Lucas: And don't forget to include a few positive risks—opportunities that might come up if you take the leap. Like, maybe you'll meet a mentor, or gain a new skill that opens doors. Those also have probabilities and impacts. Luna: So the map isn't just about doom and gloom—it's a balanced scorecard for your career. Lucas: Exactly. So if you're standing at a crossroads, don't just think 'what if it goes wrong?'—write it down, give it a number, and see what you're really dealing with. You might surprise yourself. Luna: I think that's a great takeaway. And maybe next time we can talk about how to actually prepare a mitigation plan for the top risks you identify. Lucas: That's a great idea for a future episode. For now, I hope this gives listeners a practical next step. Build a map before your next big decision—it could change how you see it. Luna: And if you try it, let us know how it goes. We love hearing from listeners. Lucas: We do. But until next time, keep making those smart, calculated moves.