Choosing a Polish IT recruitment agency is not difficult. Finding one that will actually deliver – on time, with candidates who stay, in a process that does not consume your team’s time – is considerably harder. There are hundreds of IT recruitment agencies operating in Poland. They all have websites with confident claims, client logos, and some variation of “we connect top tech talent with world-class companies”. Most of them will take your brief, send you CVs, and invoice you if someone gets hired. Very few of them will tell you upfront what their retention rate is. Or their average time to fill. Or how large their candidate database actually is, what is in it, and how it was built. Or how long their average client relationship lasts.
The difference between a Polish IT recruitment agency that produces a great hire and one that produces three months of wasted process is not always visible from a website or an introductory call. It becomes visible when you ask the right questions, and pay close attention to how the answers are given. This article gives you five questions that cut through the standard agency pitch and get to what actually matters. For each one, we tell you what a strong answer looks like, what a weak one sounds like, and – in the interest of full transparency – how Itentio answers each question about itself.
Question 1: What Is Your Candidate Retention Rate, and How Do You Calculate It?
This is the question that separates agencies that measure what matters from agencies that do not. It applies to every Polish IT recruitment agency regardless of how long they have been operating or how many client logos appear on their homepage.
Candidate retention rate is the most direct indicator of placement quality. An agency can be fast. It can be well-networked. It can present impressive-looking candidates who interview well. But if those candidates leave within months, triggering warranty replacements, restarting searches, and compounding the cost and disruption of the original vacancy – none of those other qualities matter.
What a strong answer looks like: A specific number, a clear definition of how it is measured, the time window it covers, and what counts as a failure in the calculation. An agency with genuine confidence in this metric will not hesitate to explain the methodology – because the methodology is what gives the number credibility.
What a weak answer sounds like: Vague references to “high retention”, testimonials from satisfied clients, or a number presented without any explanation of what it measures or over what period. “Our clients always come back” is not a retention rate. “96% of placed candidates remained past the six-month mark across our last 200 placements” is.
Also pay attention to what the agency claims it does not measure. An honest agency will tell you what their retention figure covers and what it does not, because post-warranty tenure is influenced by factors outside any recruiter’s control, and conflating the two produces impressive statistics that mean nothing.
How Itentio answers this question: Our candidate retention rate is 99%, calculated across all placements from May 2018 to the present. We measure it by warranty replacement events – the number of placed candidates for whom a client exercised the formal replacement warranty within the contractually defined 12-week window. In nearly eight years and hundreds of placements across 70+ client companies, that event has occurred twice. The full methodology, including what this figure does and does not claim, is published in detail here.
Question 2: What Is Your Average Time to Fill for Senior IT Roles, and Can You Show Me Documented Examples?
Every agency will tell you they are fast. The word “fast” is doing a great deal of work in the IT recruitment industry without being held accountable to a single number.
Time to fill – the duration from confirmed brief to accepted offer – is the metric that governs your planning, your product roadmap, and your team’s capacity. An agency that fills roles in four weeks produces fundamentally different business outcomes than one that fills them in twelve. That gap is not abstract: at $500 per day in documented vacancy cost, the difference between a four-week and a twelve-week search is approximately $28,000 in delayed productivity on a single hire.
What a strong answer looks like: A specific average, a clear definition of what the clock measures (brief confirmed to offer accepted, not CV submitted), and multiple specific documented examples with timestamps. The examples should span different role types and seniority levels, not one exceptional outlier presented as representative.
What a weak answer sounds like: “It depends on the role” without a central tendency. A single impressive example without context. A vague claim about speed without a methodology or documented evidence behind it. An agency that cannot show you case studies with actual timelines is an agency that either does not track this metric or does not like what the data says.
Also ask specifically: does the timeline include only the period until a CV is submitted, or until an offer is accepted? These are very different measurements. An agency that defines time to fill as “time to first submission” will have dramatically better-looking numbers than one that measures the full cycle – and the full cycle is the only one that matters to you.
How Itentio answers this question: Our average time to fill across all senior IT roles is 3–4 weeks, measured from brief confirmation to accepted offer. Documented examples include an Engineering Lead placed in 3 working days, a Senior Golang Developer placed in 7 working days, a CTO placed in 14 working days, and two Senior .NET Developers placed in 18 working days — all for clients in different industries with different technical requirements. Every case study is published with full timeline documentation. The full methodology behind the 3–4 week average described in our article.
Question 3: How Was Your Candidate Database Built, and What Is Actually In It?
A candidate database is the engine behind every other performance metric an IT recruitment agency claims. For a Polish IT recruitment agency sourcing senior engineers, this database is either a genuine asset built through years of active relationship management, or a headline number with very little behind it. It is also the claim most frequently inflated, most rarely scrutinised, and most consequential to your actual hiring outcome.
The difference between a database of 10,000 profiles built through active relationship development and one of 100,000 profiles built through LinkedIn scraping is not a scale difference – it is a quality difference so fundamental that the larger number may actually represent less value. A database entry that is a scraped profile with no relationship history, no assessed skills, no noted working style preferences, and no verified contact information is not a candidate. It is a name.
What a strong answer looks like: A specific number, a clear explanation of how profiles were added – direct sourcing, past placements, community engagement, inbound applications – and an honest description of what each record contains. Specifically, ask whether the database includes relationship records: notes from prior conversations, assessed skills, salary expectations, working style and engagement model preferences, and last contact date. These are the data points that compress time to first viable candidate from weeks to hours.
What a weak answer sounds like: A headline number presented without methodology. “We have access to thousands of candidates” is not an answer. Neither is a number without any explanation of how it was built. Also be wary of agencies that conflate “access to” a candidate pool – meaning job board reach or LinkedIn Recruiter licences – with a proprietary database of engaged professionals.
Ask a follow-up that gets to the operational reality: for a role like the one you are about to brief, how many relevant candidates would you expect to find in your database on day one? An agency with a well-maintained, precisely tagged database will give you a specific and honest estimate. An agency working primarily from job boards and cold outreach will pivot to a different answer.
How Itentio answers this question: Our candidate database currently holds over 37,000 IT professionals, built exclusively through eight years of direct recruitment activity – active sourcing for specific client briefs, inbound applications to live roles, and ongoing engagement with the Polish and CEE tech community. Every profile in the database represents a direct point of contact, not a scraped record. The database spans the full technical role spectrum: software engineers across all major stacks, QA, DevOps, DevSecOps, Security, Data, AI, UX/UI Design, Product Management, Engineering Management, and C-level technical leadership. The full methodology, including what the database does and does not claim to be, is published in our article.
Question 4: How Long Do Your Client Relationships Typically Last?
This question is unusual in recruitment agency conversations, which is exactly why it is valuable. Most agencies are not asked it, which means most agencies have not prepared a confident, data-backed answer.
Client lifespan is the metric that describes aggregate satisfaction better than any individual case study can. A client who experiences one successful hire might return for a second search. A client whose average relationship with an agency runs more than four years has made repeated, deliberate decisions to keep working with that agency across multiple roles, market conditions, and hiring challenges. That pattern cannot be manufactured by a single impressive engagement. It is the downstream result of consistently delivering on every commitment made during the sales process.
It also tells you something specific about risk. An agency whose clients typically use them once and move on is telling you, through their data, that repeat clients are the exception rather than the rule. That pattern has a cause.
What a strong answer looks like: A specific average, clearly defined – the mean duration of client relationships from first engagement to present or to last engagement for inactive clients. Ideally, the agency can also tell you something about the distribution: whether long-term relationships are concentrated among a few anchor clients or spread across the portfolio. A high average driven by two or three decade-long relationships and fifty short ones tells a different story than a high average distributed evenly.
What a weak answer sounds like: Client logos without tenure data. Testimonials from individual satisfied clients. “We have clients who have been with us for years” without a measurable central tendency. It is not a longevity data.
Also consider asking who their longest-standing clients are and how those relationships started. An agency that acquired its longest clients through a single impressive placement that happened years ago, and has since drifted into transactional mode, is different from an agency whose oldest client relationships are still active, growing, and evolving.
How Itentio answers this question: Our average client lifespan is 4.2 years, calculated across all 70+ client companies from early May 2018 to early May 2026, including clients signed within the last 12 months whose short tenures reduce the average, and excluding no relationships from the calculation. Our two longest-standing clients joined us in the third and fourth weeks of our operation in May 2018, still our active clients. The full methodology, including why the figure is deliberately conservative rather than cherry-picked, is published on our blog.
Question 5: What Does Your Screening Process Look Like Before a Candidate Reaches Me?
This question targets the dimension of agency work that is least visible from the outside and most consequential to your actual experience of the process: what happens between “we have identified a candidate” and “here is their profile”.
There are two fundamentally different approaches to candidate submission in the IT recruitment market.
The first is volume submission: the agency identifies a broad pool of candidates against your brief, applies minimal filtering, and sends you a large number of CVs to review. The submission is fast. The subsequent work – reviewing, screening, scheduling initial calls, filtering down to a viable shortlist – sits on your desk. The agency’s contribution is largely sourcing reach; the evaluation work is yours.
The second is precision submission: the agency conducts deep pre-screening before anything reaches you, and presents a small, highly evaluated shortlist where every candidate has been assessed against the brief across multiple dimensions. The submission may take a day or two longer. Everything that follows is faster, because you are starting from a qualified shortlist rather than a raw pool.
The practical difference between these two approaches is where the 20–30 hours of process work sits. In the first model, significant portions of it land on the hiring manager or founder. In the second, the agency absorbs it before submission.
What a strong answer looks like: A specific description of the pre-screening stages – what is assessed, how it is assessed, and what the output to the client looks like. Ask whether they provide evaluation reports with each submission or just CVs and contact details. Ask how they assess cultural and working style fit, not just technical credentials. Ask what their submission-to-interview rate is – the proportion of candidates they present who are taken into the client’s interview process. A high submission-to-interview rate is the most direct evidence of pre-screening quality.
What a weak answer sounds like: “We send you the best candidates we find” without specifics. A focus on the quantity of CVs they can deliver rather than the quality of the evaluation behind each one. An inability to describe what their candidate evaluation reports contain. And crucially: an agency that defines its value as “access” to a large pool of candidates rather than “assessment” of a precise shortlist is telling you where its process stops.
How Itentio answers this question: Every candidate we submit comes with a comprehensive evaluation report covering: technical experience assessment relevant to the specific brief, the full history of candidate’s employment, with information of projects/products of engagement, candidate’s particular part in it, tech stacks. Also, we assess soft skills and make working style observations, check English proficiency at the level required by the role, salary expectations and the salary range against the confirmed budget, notice period and availability, engagement model preference, and our specific recommendation on fit and any areas to probe in the client’s own interview process. We do not send CVs – we send evaluated candidates. In our published case studies, our submission-to-interview rate is in most cases 100%: most of our candidates presented to a client has been taken into their interview process. For context on what our screening produces, our candidate retention rate of 99% is the downstream result of that pre-screening quality, not of anything that happens after the candidate starts.
What a Good Polish IT Recruitment Agency Does When Asked These Questions
The content of the answers to these five questions matters. So does the manner in which they are given.
A Polish IT recruitment agency with genuine confidence in its metrics will not hedge when asked these questions. It will not redirect to testimonials when you ask for data, or pivot to a case study when you ask for a methodology, or become vague when you ask what their retention rate actually measures. It will give you a number, define the number, and offer to show you the evidence behind it.
An agency that becomes defensive, evasive, or suddenly very focused on why metrics are “hard to measure in recruitment” when asked these questions is an agency that does not like what its metrics say.
The five questions in this article are not designed to be adversarial. They are designed to surface the information that distinguishes a recruitment partner worth trusting from one that will consume your time, budget, and goodwill and deliver a mediocre outcome. In a market where every agency’s homepage says the same things in slightly different words, asking for the data behind the claims is the only reliable way to tell the difference.
How to Read a Polish IT Recruitment Agency’s Answers in Combination
Individually, each of these five questions reveals something important. Together, they reveal a complete picture of how an agency actually operates.
An agency with a high retention rate and a short average client lifespan is placing candidates well but failing to build genuine partnerships – possibly because their process is transactional rather than consultative.
An agency with a fast time to fill but an unclear screening process may be achieving speed through volume submission that shifts the evaluation burden onto the client – fast in appearance, slow in practice.
An agency with an impressive candidate database claim but no methodology behind it is either overstating a passive contacts list or simply has not thought carefully enough about what the number actually represents.
An agency that answers all five questions precisely, with published methodologies and documented evidence, has done the work of building a recruitment function that measures what matters and is prepared to be held accountable to it.
That accountability is what makes a recruitment partnership worth entering – and worth maintaining.
How Itentio – a Polish IT Recruitment Agency – Answers All Five
For transparency, here is how Itentio, a Polish IT recruitment agency operating since May 2018, answers all five questions in one place:
Candidate retention rate: 99%, across all placements since May 2018. Two warranty replacement events in nearly eight years. Full methodology →
Average time to fill: 3–4 weeks from confirmed brief to accepted offer, across all senior IT roles. Documented examples from 3 working days to 18 working days. Full methodology + case studies →
Candidate database: 37,000+ IT professionals built through eight years of direct sourcing, active recruitment, and community engagement. No scraped profiles. Full methodology →
Average client lifespan: 4.2 years across all 70+ clients, including recent short-tenure relationships that reduce the average. Longest client relationships date to May 2018 and are still active. Full methodology →
Screening process: Full evaluation reports on every submitted candidate. High submission-to-interview rate (in many cases, close to 100%) across published case studies. Screening covers technical depth, working style, English proficiency, salary calibration, engagement model preference, and specific fit assessment. How we work →
If you want to ask these questions directly, in a conversation rather than an article, we are straightforward about all of them.
Explore our IT recruitment services in Poland →
