Marketers/Designers/Engineers: What's your essential skill for 2025?
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Hey everyone,
Thinking about future-proofing my skills and I'm curious to hear from the pros in this community. We all have our core skills, but what's one skill that wasn't a big deal a few years ago but you now see as essential for your role in late 2025?
For Marketers: Is it data storytelling? AI prompt engineering?
For Designers: Is it prototyping with real data? Designing for AI?
For Engineers: Is it integrating LLMs? Advanced cloud security?
Would love to hear your thoughts and what you're focusing on learning right now!
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I’d say the most essential skill now is being able to test fast. Picking up a new tool or SaaS, launching a quick version, and seeing how the market reacts. Things move so quickly in 2025 that speed of validation often matters more than polishing for weeks.
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@bengeekly That’s a great point, speed really has become a skill in itself. Quick testing and validation often reveal more than months of planning. Do you think this shift toward rapid experimentation is changing how teams prioritize between “move fast” vs. “build strong foundations”?
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@ritik_ranjan I see that even big companies start prioritizing shipping fast than building strong.
Every week we see new “unfinished” products and announcements.
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@bengeekly True, I’m noticing that too. But do you think this trend of shipping “unfinished” products might actually hurt long-term trust with users? Or is speed + iteration becoming the new standard that users are okay with?
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@ritik_ranjan seems like hurting,i felt that with Google, but not being fast can be worst, we have seen that with Apple. But that’s only my feeling and for short term, I have no idea what is better long term.
But for startups it’s an advantage as they have “nothing” to risk being fast.
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@bengeekly True, big companies have more to lose if trust breaks, while startups can move faster. But first impressions matter the most, if they go wrong, users may not stick around for fixes
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@ritik_ranjan it’s ok to deceive some people and earn new ones in the process as a startup.
Also people expect from startup to have bugs and to change so they are more forgiving
I think a good skill for the future is to be able to use AI in your work (Of course, not in all areas of work)
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@ixord That’s a great point, Igor! AI skills are definitely becoming essential across many industries. Do you think in the future AI skills will be more important than traditional soft skills like storytelling and negotiation, or will they need to complement each other?
@ritik_ranjan I don't think AI skills will be valued more than other skills, it just adds to productivity.
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@ixord That’s true, AI alone isn’t enough. But I feel combining AI skills with domain knowledge can multiply productivity, which makes it more valuable in the long run.
@ritik_ranjan Yes, I agree. Although some people were reluctant to use AI from the very beginning, arguing that it would be better to do everything themselves and gain experience. I partially agree that a person needs to understand how things are done before using AI.
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For me, as someone building a dashboard for tissue culture hobbyists, the “essential skill” lately feels like making complex data approachable and actionable.
A few years ago, I could get by with basic tracking and spreadsheets. Now, with more people experimenting with plant cultures and sharing results, it’s about designing interfaces that make patterns, trends, and insights immediately clear, almost like telling a story with data.
I’m also exploring ways AI can help surface insights from messy, real-world datasets, like growth conditions, media recipes, and experiment notes–so hobbyists can make better decisions without needing a PhD in plant biology.
So to wrap it up, learning how to combine data visualization, UX, and AI-assisted analysis is becoming the must-have skill in 2025.
Report
@robksawyer Totally agree with you. At the end of the day, good data tools don’t just show numbers, they guide decisions. The storytelling angle is powerful, especially for communities like hobbyists who may not be data experts. I wonder if this approach could apply beyond tissue culture, maybe even in other DIY science spaces.
This is a good thread! Everyone’s overthinking AI and speed, but honestly, the real skill is learning what not to automate or rush. For marketers, it’s about knowing which insights only come from talking to real users, not from dashboards. For designers, it’s keeping interfaces simple even when the tech wants to get fancy. For engineers, it’s shipping fast but knowing when to stop and fix the plumbing (I've seen this a lot)
People forgive a few bugs, but not a bad vibe - so keep the human touch, even while you’re moving fast and using AI. That’s what I’m practicing daily.
Report
@sanskarix Really well said. I think a lot of teams overestimate what AI can do and underestimate what it shouldn’t do. Like you mentioned, the real skill lies in knowing when to stop automating and add human judgment. Dashboards and algorithms are powerful, but they’ll never replace the clarity that comes from direct conversations with users. That human touch is what builds trust, and trust is harder to scale than speed.
Report
@ritik_ranjan As a founder i think the best skill we can have is to be a good story teller. I think this one skill can overcome the shortcomings of any other marketing strategy we are using for the product. Trying to tell story through a consumer perspective is a golden skill!
Report
@sheraz_abdul_hayee Storytelling is powerful, no doubt. But do you think it’s still as effective in B2B products where buyers often look for numbers and ROI first?
Replies
I’d say the most essential skill now is being able to test fast. Picking up a new tool or SaaS, launching a quick version, and seeing how the market reacts. Things move so quickly in 2025 that speed of validation often matters more than polishing for weeks.
@bengeekly That’s a great point, speed really has become a skill in itself. Quick testing and validation often reveal more than months of planning. Do you think this shift toward rapid experimentation is changing how teams prioritize between “move fast” vs. “build strong foundations”?
@bengeekly True, I’m noticing that too. But do you think this trend of shipping “unfinished” products might actually hurt long-term trust with users? Or is speed + iteration becoming the new standard that users are okay with?
@bengeekly True, big companies have more to lose if trust breaks, while startups can move faster. But first impressions matter the most, if they go wrong, users may not stick around for fixes
IXORD
I think a good skill for the future is to be able to use AI in your work (Of course, not in all areas of work)
@ixord That’s a great point, Igor! AI skills are definitely becoming essential across many industries. Do you think in the future AI skills will be more important than traditional soft skills like storytelling and negotiation, or will they need to complement each other?
IXORD
@ritik_ranjan I don't think AI skills will be valued more than other skills, it just adds to productivity.
@ixord That’s true, AI alone isn’t enough. But I feel combining AI skills with domain knowledge can multiply productivity, which makes it more valuable in the long run.
IXORD
@ritik_ranjan Yes, I agree. Although some people were reluctant to use AI from the very beginning, arguing that it would be better to do everything themselves and gain experience. I partially agree that a person needs to understand how things are done before using AI.
For me, as someone building a dashboard for tissue culture hobbyists, the “essential skill” lately feels like making complex data approachable and actionable.
A few years ago, I could get by with basic tracking and spreadsheets. Now, with more people experimenting with plant cultures and sharing results, it’s about designing interfaces that make patterns, trends, and insights immediately clear, almost like telling a story with data.
I’m also exploring ways AI can help surface insights from messy, real-world datasets, like growth conditions, media recipes, and experiment notes–so hobbyists can make better decisions without needing a PhD in plant biology.
So to wrap it up, learning how to combine data visualization, UX, and AI-assisted analysis is becoming the must-have skill in 2025.
@robksawyer Totally agree with you. At the end of the day, good data tools don’t just show numbers, they guide decisions. The storytelling angle is powerful, especially for communities like hobbyists who may not be data experts. I wonder if this approach could apply beyond tissue culture, maybe even in other DIY science spaces.
Cal ID
This is a good thread! Everyone’s overthinking AI and speed, but honestly, the real skill is learning what not to automate or rush. For marketers, it’s about knowing which insights only come from talking to real users, not from dashboards. For designers, it’s keeping interfaces simple even when the tech wants to get fancy. For engineers, it’s shipping fast but knowing when to stop and fix the plumbing (I've seen this a lot)
People forgive a few bugs, but not a bad vibe - so keep the human touch, even while you’re moving fast and using AI. That’s what I’m practicing daily.
@sanskarix Really well said. I think a lot of teams overestimate what AI can do and underestimate what it shouldn’t do. Like you mentioned, the real skill lies in knowing when to stop automating and add human judgment. Dashboards and algorithms are powerful, but they’ll never replace the clarity that comes from direct conversations with users. That human touch is what builds trust, and trust is harder to scale than speed.
@ritik_ranjan As a founder i think the best skill we can have is to be a good story teller. I think this one skill can overcome the shortcomings of any other marketing strategy we are using for the product. Trying to tell story through a consumer perspective is a golden skill!
@sheraz_abdul_hayee Storytelling is powerful, no doubt. But do you think it’s still as effective in B2B products where buyers often look for numbers and ROI first?