How to screen technical candidates when you're not technical

Every guide on hiring an engineer when you’re not technical tells you the same thing: find someone who can judge the work for you. A fractional CTO. A technical advisor. An engineer your investor knows. That advice is fine if you have one of those people around.

If you’re the owner, founder, or GM who just got stuck filling your business’s first developer, IT lead, or systems role, you probably don’t. There’s no advisory board. There’s no engineer on staff to borrow for an afternoon. There’s just you, a stack of resumes full of acronyms you can’t verify, and a decision you can’t afford to get wrong.

That advice gets one thing backwards. You don’t need to become technical to screen technical candidates well. You need a process built around what you can actually judge without a technical background: how clearly someone reasons, and how they behave when a scenario gets messy. That’s a different skill than reading code, and it doesn’t require a translator standing next to you.

Every guide assumes you have someone technical to call

Read enough hiring advice aimed at non-technical founders and a pattern shows up fast. Bring in a technical advisor for the key interviews. Ask an investor to recommend someone who can vet the finalist. Loop in a mentor to sanity-check the take-home project. All of it assumes a network of people with the exact expertise you’re missing, available on short notice, for free or close to it.

That’s a reasonable assumption if you’ve raised a round and have a board full of operators. It’s not a reasonable assumption for a GM running a 30-person business who just posted a systems administrator role, or a founder hiring their second developer with no formal advisory structure at all. You don’t have a bench of technical people to call. You have a job to fill and an inbox that’s already filling up with applicants who all list the same certifications.

What happens when you fake it anyway

Without a technical person to lean on, most people do one of three things, and none of them work as well as they feel like they’re working.

They ask a friend who “kind of knows computers” to sit in on one interview. That person isn’t actually an engineer, isn’t being paid to focus, and gives you one data point on one candidate instead of a consistent read across the whole pool.

They hand the entire search to an agency or a technical recruiter they can’t really afford, hoping the fee buys them out of the problem. It usually buys them a shortlist, not a judgment they can trust, and the fee alone can swallow the budget for a role that only needed to be filled once.

Or they skip the problem entirely and hire on resume signal: the right job titles, the right certifications, a GitHub link they never open. That’s the riskiest option, because those are exactly the details an applicant can inflate, and resumes across technical roles are getting harder to trust at face value in the first place, as we’ve written about separately.

The stakes for getting this wrong aren’t abstract. A CareerBuilder survey of small business employers found that 74% had made a bad hire at some point, at an average cost of roughly $17,000 per bad hire once you count the wasted salary, the lost productivity, and the redo. On a small team, a technical hire who can’t do the job doesn’t just cost money. It’s the one person you were counting on to build or fix something, and now nobody on the team can tell you why it still doesn’t work.

You were never going to evaluate the code

You already know how to evaluate people you can’t fully assess on paper. You do it for salespeople whose pitch you can’t verify until they’re three months in. You do it for a bookkeeper whose spreadsheet logic you’d have to squint at to follow. The skill is noticing whether someone’s reasoning holds together, out loud, in front of you, and it transfers to a technical hire more than most people expect.

You don’t need to understand the tools a candidate names. You need to hear whether they can explain the problem before they jump to a fix, whether they ask questions that show they understood what you actually asked, and whether their explanation makes sense end to end without hand-waving through the hard part.

Try this instead of a resume keyword hunt: describe a real problem your business has, in plain language, and ask the candidate to walk you through how they’d approach it. “Our online ordering page slows to a crawl every Friday night. Walk me through how you’d figure out why.” You won’t understand every technical term that comes back. You will absolutely be able to tell whether the candidate defines the problem first or guesses at a fix, whether they ask what you’ve already tried, and whether the story holds together when you push on it. That’s the signal. Not the vocabulary.

Where you should still pay for real technical expertise

None of this means you should skip verification altogether. A structured reasoning conversation tells you a lot, but it won’t catch someone who’s fluent in the language of the work without the depth behind it. For a role this important, that gap matters.

The fix is being deliberate about when you spend expert judgment, not avoiding it. Save a paid hour with a contract engineer or a technical freelancer for your final two or three candidates, the ones who already showed you clear reasoning and good judgment under a realistic scenario. Have that person do a focused technical review, a short pairing session, or a look at a real code sample, and only for the finalists.

That’s a very different cost than paying an agency to run your entire funnel, or hoping a friend’s spare hour covers it. You’re not skipping the expert step. You’re moving it to the point where it’s cheap because you’ve already cut the pool down to people worth that hour.

What this looks like against 45 applicants for one role

Picture a GM who posts a single IT or developer role and wakes up to 45 applications, a mix of overqualified consultants, underqualified generalists, and a handful of people who genuinely fit. There’s no recruiter to hand this to, and no technical hire on staff to ask for a second opinion.

This is where candidate screening software built for exactly this problem earns its place. Truffle is a candidate screening platform that combines resume screening, one-way video interviews, and talent assessments, and each layer catches a different piece of what a non-technical hiring manager can’t get from a resume alone.

Resume screening narrows 45 applicants down on the things you can actually verify: years of experience, overlap with the tools your business runs on, and qualification questions about availability and work authorization. That alone cuts the obvious mismatches without you having to open every PDF, though resumes alone still miss more than they catch on a technical hire.

A one-way interview asks your reasoning question directly, the same “walk me through how you’d figure this out” prompt, recorded on the candidate’s own time. AI surfaces match scores against the criteria you set and pulls out the 30-second Candidate Shorts where a candidate’s explanation either holds together or falls apart, so you’re not sitting through forty full recordings to find the moments that matter. You watch the reasoning. You still decide what it means.

A situational judgment assessment adds a third layer: real scenarios scored against how your team actually handles ambiguity, competing priorities, and disagreement, not a universal right answer. It tells you whether someone’s instincts line up with how your business actually runs under pressure, which a resume and a single interview both miss.

Put those three together and you go from 45 resumes you can’t evaluate to a shortlist of two or three people, each with a clear record of how they reason and how they’d likely behave on your team. That’s the point where a paid hour with a technical contractor is worth every dollar, because it’s confirming a read you already trust instead of doing the entire job for you.

The same fix works for any hire you can’t personally judge

The same gap shows up any time you have to hire outside your own expertise: a lawyer, a master electrician, a specialist you’ve never had to manage before. The instinct is always to find someone who knows the field to make the call for you, and that instinct fails the same way every time when nobody like that is actually available.

The fix that works is the same one regardless of the specialty. Build a process that surfaces how someone reasons and behaves before the decision, so that any expert judgment you do bring in gets spent on a short, already-vetted list instead of the whole pile. You’re not becoming an expert in every field you hire for. You’re getting good at recognizing the evidence that expertise leaves behind, even when you can’t produce that expertise yourself.

Most bad technical hires don’t happen because a mediocre engineer slipped through a coding test. They happen because nobody looked hard at how the person actually thinks before the offer went out the door. Fix that step, and the rest of the process gets a lot less scary, coding vocabulary included.

Frequently asked questions about screening technical candidates

Can I screen a software engineer if I don’t know how to code?

Yes, for the parts of the process that don’t require reading code. You can evaluate whether a candidate explains their reasoning clearly, whether they ask good clarifying questions, and whether their story about their own experience holds together under a few follow-up questions. Save the technical depth check for a paid expert, applied only to your final few candidates.

What should I ask a technical candidate if I’m not technical myself?

Ask about a real problem in your business, in plain language, and have them walk you through how they’d approach it. Listen for whether they define the problem before jumping to a fix, whether they ask what’s already been tried, and whether their explanation stays consistent when you ask a follow-up. You’re judging the reasoning, not the terminology.

Should I still use a coding test or technical assessment?

A coding test or a talent assessment scored against how your team actually works is more useful earlier in the process than most people assume, because it gives you a consistent read across every candidate instead of one uneven conversation. Save a live technical review with a paid expert for your finalists, once you already have a shortlist you trust.

How do I know if a technical candidate is exaggerating their experience?

Resumes and certifications are the easiest things to inflate, which is exactly why they shouldn’t be your only signal. Layer in a recorded reasoning conversation and a scenario-based assessment, and watch for whether specific claims hold up when a candidate has to explain them out loud instead of just listing them.

Hiring your first technical person doesn’t require becoming technical yourself. It requires a process that shows you the evidence a technical advisor would use, reasoning, judgment, and consistency, before you ever need to ask someone else to weigh in. Get that right, and the decision stops feeling like a guess.