Latest / Career Skills with Fexingo: Hard Skills, Soft Skills, and Future-Proofing Your Career / How Skill Graph Analysis Reveals Your Career Blindspots
Transcript
- Lucas: So earlier this week I was talking to a friend who's a marketing manager at a mid-size SaaS company. She's been feeling stuck — not quite plateaued, but like she's working twice as hard for the same results. Luna: Yeah, I think a lot of us have been there. Was it a lack of a promotion or just a feeling? Lucas: More the feeling. She's getting good performance reviews, but she noticed her peers who started after her are moving faster. So I asked her to do something I'd never tried before: map out her skill graph. Luna: Skill graph? Like a mind map of what you know? Lucas: Sort of. But more structured. Imagine each skill you have as a node. Then draw lines connecting skills that depend on each other. For example, copywriting might depend on audience segmentation knowledge and brand voice understanding. Then you rate each node — say one to five — on your current proficiency. Luna: Okay, so you're building a dependency network of your own abilities. What did her graph show? Lucas: Her copywriting node was a four out of five — she's good. But it was connected to 'audience segmentation,' which she rated a two. She hadn't touched segmentation deeply in about four years. So her copywriting, strong on its own, was bottlenecked by a weaker foundational skill. Luna: Wow. That's exactly the kind of blindspot a regular skill audit would miss. A typical audit just lists skills and levels — it doesn't show how they interact. Lucas: Exactly. I think the biggest insight from a skill graph is seeing which of your strong nodes are actually fragile because they depend on a weak node. And conversely, which weak nodes, if shored up, would unlock multiple strong nodes. Luna: So it's like a leverage map. You want to invest in the skills that have the most outgoing dependencies. Lucas: Right. In her case, if she brings segmentation up to a three or four, her copywriting effectiveness could go from a four to a five without her writing a single additional word. The impact is disproportionate. Luna: I want to try this myself. How do you even start? Do you just draw circles on paper? Lucas: Paper works. Or a whiteboard. The key is to be honest and not too broad. Pick a specific role or domain — say 'my current job' or 'the job I want in two years.' List 10 to 15 skills relevant to that role. Then draw the connections. Luna: Ten to fifteen feels manageable. If you list fifty you'd be there all day. Lucas: Exactly. And you want to focus on the skills that actually matter for your next move, not everything you've ever touched. The goal is to find the critical few dependencies. Luna: I'm thinking about a project I led last year that kind of flopped. Maybe I should reverse-map it — list the skills I thought I had, draw the graph, and see where the breakdown actually happened. Lucas: That's a brilliant exercise. You might find that the failure wasn't due to lack of effort but a missing node you didn't even realize was critical. I've seen it happen with data literacy — someone is great at analysis but doesn't have the node for 'stakeholder communication of data,' so the insights never drive decisions. Luna: So the skill graph also highlights invisible prerequisites. That's powerful. Lucas: It also reveals what I call 'orphan skills' — nodes that have no dependencies going in or out. Those might be hobbies or past experiences that aren't currently connected to your career graph. And that's fine, but it's good to see them explicitly. Luna: What about skills that are overvalued? Like, you might be really good at something that doesn't actually support anything else in your graph. Lucas: That happens. I once worked with a designer who was a master at a niche illustration style but it didn't connect to the UX research, prototyping, or user testing nodes that her role required. Her graph showed a strong node that was essentially isolated — it looked impressive on paper but wasn't helping her advance. Luna: So then the graph helped her see she needed to either build connections from that skill to others — like using illustration for data visualization — or deprioritize it in favor of more connected skills. Lucas: Exactly. And I think the graph also helps with the decision of whether to deepen a skill or broaden. If you have a strong node with many dependencies, deepening it further might have diminishing returns. But if you have a weak node that's a bottleneck for several others, that's where you should spend your time. Luna: This feels like it could be an annual ritual. Every year, redraw your skill graph and see how it's evolved. Lucas: I'd say quarterly for people in fast-moving fields. But at least annually. And one thing I'd add — don't just rate yourself. Get a colleague or manager to rate you on those nodes too. You might think you're a four on 'cross-functional collaboration' but your peers might see a two. Luna: That's humbling but useful. And it could reveal blindspots you'd never catch alone. Lucas: Speaking of blindspots, we should also mention that the skill graph can help you see when you're over-indexing on a skill that's becoming obsolete. For example, if you're a marketer and your 'SEO keyword research' node has no connections to 'AI content strategy' nodes, that's a red flag. Luna: Yeah, that's a good point. The graph is dynamic. As industries shift, new nodes appear and old connections break. You have to update it. Lucas: Exactly. And we've been talking about this as an individual exercise, but I've seen teams do skill graphs together to identify collective gaps. A product team might find they have plenty of front-end skills but no node for 'accessibility testing,' which then blocks everything. Luna: That's a whole other level. So it's not just for individuals — it's a team diagnostic tool too. Lucas: And we try to keep all of this ad-free because we think career conversations shouldn't be interrupted by commercials. If you find the skill graph useful and want to support the show, the link is buy me a coffee dot com slash fexingo. That's genuinely what keeps us independent. Luna: Yeah, it's a small way to keep these episodes focused on the content, not the sponsors. Lucas: So back to the practical side — once you have your graph, what's the next step? I'd say pick the top one or two bottleneck nodes and create a 30-day learning sprint around them. You don't need to become an expert, just get to a three or four. Luna: And then after the sprint, redraw the graph and see if the connections have strengthened. That's a great feedback loop. Lucas: Exactly. It turns career development from a vague 'I should learn something' into a targeted investment with measurable impact. That's the power of the skill graph. Luna: I'm definitely going to try this. Maybe I'll even map out my dream job and see what's missing. Lucas: That's a great idea. And if you do, let us know what you find. We might do a follow-up episode on skill graph case studies from listeners. Luna: I'd love to hear those. Alright, until next time. Lucas: Take care, everyone.