Technical recruiting has a credibility problem. Most firms present candidates who look good on paper and hope for the best. When a placement doesn’t work out, the firm moves on and the client is left holding the cost of a bad hire.

We built our evaluation process to avoid that outcome — not because we’re altruistic, but because our reputation depends on it. A client who has a bad experience with one of our placements doesn’t come back. In a market where relationships are everything, that’s an existential incentive to get the process right.

Here’s exactly how we evaluate engineers before we place them with a client.

---

Step 1: The initial screen — what we’re not looking for

Most recruiting firms start with a resume review and a basic credentials check. We do that too, but we’re deliberately filtering for what’s not on the resume as much as what is.

Red flags we look for early:

Short tenures without explanation. Six months here, eight months there — sometimes this signals a contractor who moves by design, which is fine. More often it signals someone who struggled to integrate into teams. We ask directly about every short stint.

Credentials that don’t match the conversation. An engineer who lists five years of React experience but struggles to articulate the tradeoffs between different state management approaches in a casual conversation is telling us something. We’re not trying to catch anyone out — we’re trying to understand whether the resume reflects genuine experience or resume inflation.

Vague descriptions of their own work. When we ask an engineer to walk us through a system they built, we expect specificity. What was the scale? What broke? What would they do differently? Engineers who were genuinely in the work can answer these questions easily. Engineers who were peripheral to a project often can’t.

---

Step 2: The technical evaluation

We use a two-part technical evaluation. The first part is a take-home project scoped to approximately three to four hours of work. We intentionally don’t give complete requirements — we leave gaps that require the engineer to make decisions or ask clarifying questions.

What we’re evaluating in the take-home:

• Code quality and structure. Does the code read like it was written for someone else to maintain, or like it was written to pass a test? Comments, naming conventions, and code organization tell us a lot about professional habits.
• How they handle ambiguity. Did they ask questions before starting? Did they document the assumptions they made? Or did they just pick an interpretation and run with it without flagging it?
• Whether they went beyond the spec. The best engineers often add something small but thoughtful — better error handling, a note in the README about a tradeoff they considered, a test case that covers an edge case we didn’t specify. This signals genuine engagement, not just task completion.

The second part is a live technical conversation — not a whiteboard interview, but a collaborative discussion about their take-home submission and a broader technical problem relevant to the type of work the client needs. We’re watching for how they think out loud, how they respond to pushback, and whether they can engage with a problem they haven’t seen before.

---

Step 3: The communication and collaboration assessment

This is the piece most recruiting firms skip, and it’s the one that predicts placement success more reliably than the technical evaluation.

We run a structured scenario where we give the engineer a situation they’ll likely encounter in a real engagement: a vague requirement from a product manager, a production bug with limited information, or a disagreement with a teammate about a technical approach. We don’t tell them we’re evaluating their communication — we just have the conversation.

What we’re looking for:

Do they ask questions before acting? Engineers who jump straight to solutions without fully understanding the problem tend to create rework. Engineers who ask clarifying questions first — even when the instinct is to just start — tend to produce better outcomes with less iteration.

How do they handle not knowing something? We always include at least one element of the scenario that’s outside their stated expertise. The engineers who say “I haven’t worked with that directly, but here’s how I’d approach figuring it out” are almost always more valuable than the ones who bluff through it.

Can they calibrate their communication to a non-technical audience? We ask at least one question that requires them to explain a technical concept simply. This matters because most of the real friction in product teams happens at the interface between engineering and product — and engineers who can bridge that gap reduce that friction significantly.

---

Step 4: The reference check — what we actually ask

Reference checks are usually performed badly. The standard format — “Was this person a good employee? Would you rehire them?” — produces answers that are polished, brief, and almost entirely useless.

We ask different questions:

• “Describe a moment when this engineer was working on something that wasn’t going well. What did they do?”
• “What was something this engineer needed to improve during their time with you, and how did they respond to that feedback?”
• “What’s a project or decision where this engineer surprised you — positively or negatively?”

These questions require actual memory of the person. They’re harder to answer generically. And they surface exactly the kind of information we need to make a confident placement recommendation.

We always speak to at least two references, and we prefer references who were the engineer’s direct manager over professional peers who can attest to competence but not to how they functioned in a team.

---

What we tell clients after the evaluation

By the time we present a candidate to a client, we have a clear picture of what they’re genuinely strong at, where they have growth edges, and what kind of team environment they’ll perform best in. We share all of that — not just the positives.

We tell clients when an engineer is technically strong but will need more direction than an experienced senior. We tell clients when an engineer is a natural autonomous contributor who will underperform in a highly process-driven environment. We tell clients when an engineer has strong skills in four of five areas the role requires and will need support in the fifth.

This transparency occasionally costs us a placement — a client decides the fit isn’t right based on information we gave them. We think that’s the right outcome. A placement that fails six months in is far more expensive to everyone than a placement that doesn’t happen.

---

What our process doesn’t do

We don’t guarantee every placement will work. Engineering hiring is probabilistic. The best evaluation process in the world can’t fully predict how someone will perform in a specific team with a specific manager on a specific product. What a rigorous evaluation can do is significantly improve the odds and surface enough information that clients go in with realistic expectations.

We also don’t use our evaluation process to produce a score or a rank. Engineering ability doesn’t reduce cleanly to a number. What we produce is a narrative — here is who this person is as an engineer, here is where they’ll thrive, here is what to watch for. Clients who engage with that narrative tend to integrate our placements more effectively than clients who just want to know if someone passed or failed.

---

SkilldLabs is a nearshore recruiting and staff augmentation firm based in Boston, Massachusetts. We place vetted software engineers, mobile developers, and ML/AI specialists from Latin America into U.S. product teams. Verified client reviews at clutch.co/profile/skilldlabs.

---

All blog posts © 2025 SkilldLabs. All rights reserved.Contact: [email protected] | skilldlabs.com

By SkilldLabs | Boston, MA