Could Paid Work Trials Reduce the Guesswork?
Most hiring processes ask both sides to make a bet on very little real evidence. The average candidate spends just a handful of hours in interviews. I’d guess around 3–5 hours total for most processes.. For a decision that can shape years of someone’s life and the trajectory of a company, that’s a thin dataset.
A paid work trial changes that equation. Instead of basing everything on polished answers and whiteboard puzzles, you spend 2–3 weeks working together on real problems. At Magic Eden, some of their strongest hires came through this exact pathway.
Why would you consider it?
- Minimises the risk of a bad hire. The cost of a mis-hire at a startup isn’t just salary — it’s lost momentum, missed shipping deadlines, and cultural drag. A trial gives you real evidence before you commit.
- Gives clearer signals. You see how someone writes code, debates trade-offs, and collaborates with a team. That tells you infinitely more than interview answers.
- Builds mutual trust. When both sides commit time and energy — and the company commits money — you start the relationship on more solid ground.
How does it change the interview conversation?
The moment you introduce the concept of a paid trial, the conversation with candidates changes. You’re no longer asking them to convince you with stories and hypotheticals; you’re asking them to try the work. That can sound like a hard sell, but in practice, it hasn’t been met with resistance in some recent hiring I’ve been doing. If anything, candidates appreciate the transparency: “Pay me, give me real work, and let’s both see if it fits.”
How does it change the company’s responsibility?
I think it’s important to remember that a trial isn’t a shortcut; it’s really more of a time investment. You can’t just keep paying for trial after trial and hope something sticks. That means the onus shifts back to the company:
- Define the bar. Be clear about what qualifies someone for a trial. If they don’t meet your baseline on culture fit, aptitude, or domain interest, don’t put them through.
- Invest properly. A trial without structure, onboarding, or feedback wastes everyone’s time.
- Balance quality with throughput. If you overload trials, your hiring team and your candidate experience both suffer.
In other words, the trial doesn’t replace the need for careful qualifying, but it heightens it. The interview’s purpose becomes less about proving someone can do the work and more about proving they’ve earned the shot to show it.
The trade-offs
The biggest trade-off is time. A two-week trial is far more demanding for everyone involved than another 90-minute interview. Managing multiple trials in parallel also requires discipline. But weighed against the cost of a bad hire, the investment makes sense.
I think that if they’re done right, paid work trials turn hiring from educated guesswork into a shared experiment. Both sides learn how the other really operates, under real conditions.
The bigger question is this: would you do it?
If you’re a founder, would you redesign your funnel around paid trials? And if you’re a candidate, would you carve out a few weeks of your life to prove it in practice rather than theory?
If you were a candidate, would you do it?
This issue is sponsored by the team at Taly.
In a recent issue, I spent some time talking with Peter Treloar, the founder of Taly, linked here. So that if you’re one of the few that hasn’t seen it, you now can.
If you are leading a team and are responsible for people’s careers, then it serves you and your team members well if you understand them. This is so basic that it still blows my mind that more leaders/managers dont think about this.
As Peter Treloar the founder of Taly says:
“If you don’t know someone, you can’t lead them. If you don’t know what’s going on inside them, how to connect with them, then you can’t lead them. You just keep throwing stuff out and hope something sticks.”
So, speak to Peter and the team at Taly about some of the frankly amazing ways that the Taly platform helps you understand and better interact with team members in some of those critical moments (quarterly reviews, performance discussions, providing feedback, etc), I know you’ll be as impressed as I was.
Why do so many CV’s seem the same?
I’ve recently been working with a hiring manager who was part of the engineering team that took Uber Eats from a whiteboard idea to market across multiple countries. I’ve found that being able to describe this simply and clearly to potential candidates who might join our team is an excellent tool.
It demonstrates simply and clearly to potential candidates that they will be working with a leader who has built something significant on a significant scale and knows how to take a product to market.
I think this is something that more people should try to do with their resumes. Quite often I see resumes that are a dot point list of tasks that were accomplished, rather than linking what they did in their role and what they delivered to an actual business outcome.
So my advice to anyone who’s maybe struggling to get a role, or struggling to articulate what they did, to think about this approach. Now I understand, of course, that not everybody’s taken a well-known product to market globally, but in our own way, we’ve all done something that’s got some kind of significance
And i think this is a great use case for something like ChatGPT, if you’re struggling to articulate it. So you might say something like, I led the technical team that launched a brand new childcare platform to market (if you’re Fred Wu, today’s Podcast guest) or, I was the first Product Manager at a pre-revenue, AI-led Ad Tech business, and took it to market and then a $50m valuation (previous Podcast guest, Daragh Kan).
There’s that thing that says anyone can complicate things, but simplifying is difficult. Maybe this is why so many resumes seem the same.
What I learned from talking to a SaaS CTO
Fred Wu has built engineering teams, launched his own SaaS products, been a startup CTO, and written extensively about what works and what doesn’t in early-stage environments.
He joined me for a chat about hiring, building, and what technical and non-technical founders should understand about software teams.
Here are three takeaways that stuck with me.
1. “Be curious, or you won’t last.”
Fred’s advice for junior engineers was simple: curiosity is the fuel. If you’re not genuinely interested in solving problems, learning systems, or getting better at your craft, the grind will wear you down.
What I liked about this was the clarity. It’s not about being perfect, or picking the right language, or having a 10-year plan. It’s about turning up with the right mindset.
For startup teams, this is also a hiring clue. Curiosity doesn’t show up on a CV, but it shows up in questions. In open source. In side projects. In how someone describes what they’re learning.
2. “Too many founders optimise for cost, not capability.”
Fred didn’t say this to be harsh. But he’s seen it up close: non-technical founders hiring offshore without understanding the trade-offs, or hoping AI can replace their need for experienced engineers.
He recommends a more honest equation. What do you actually need? What problem are you solving? Do you need a specialist or a generalist? What constraints matter most: time, quality, or budget?
A good CTO (fractional or otherwise) helps you weigh those up. A bad one just hires cheap and hopes for the best.
3. “You don’t have to choose between speed and quality.”
This was my favourite part of the conversation. Fred pushed back on the false binary that says startups must choose between shipping fast or building well.
Instead, he talked about picking the right trade-offs. What needs to be robust now? What can be revisited later? How can we keep moving without burning everyone out?
It’s not a sexy answer. But it’s one that experienced builders understand. Speed matters. But so does trust. So does sleep. So does not having to rewrite everything from scratch in three months.
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Simon
