How to Build an IT Team That Deliver from First Sprint? A Proven j‑labs Framework
Recent reports (including KPMG) show that companies’ technology ambitions are growing faster than their execution capabilities. The number of projects continues to rise, while experienced and available specialists are becoming increasingly scarce — as many as 76% of employers struggle to find qualified IT experts.
However, even a fully staffed team does not guarantee success. Many technology initiatives face delays and budget overruns due to process-related issues. Effective outsourcing, therefore, requires not only skilled professionals, but also mature and well-structured project governance.
Today’s IT market is challenged not only by a shortage of talent, but also by a growing crisis of trust. Gartner estimates that by 2028, as many as one in four candidate profiles could be fake, making traditional verification methods insufficient. As a result, outsourcing models based solely on CV screening are becoming an increasingly costly risk for organizations.

At j‑labs, we have been supporting organizations facing these challenges for years. We take responsibility for project delivery — including defining the team composition, ways of working, and the level of engineers’ involvement — so that the project can start smoothly from the very first sprint.
How do we do it?
Discovery – we start with the project, not with CVs
Most recruitment processes begin with reviewing CVs for a specific role. At j‑labs, we provide a comprehensive software delivery service, where the team is just one part of the solution. That’s why we start with the Discovery phase within our Agile Delivery Framework.
A full overview of all four ADF stages — Discovery, Setup, Delivery, and Finalization — is available in our video materials and on our blog.
Discovery is the stage where the client shares project goals, ways of working, expected team autonomy, tech stack, and organizational context. Only then do we gain a complete picture of what the team structure and role distribution should look like to ensure efficient delivery.
This approach helps avoid common issues that often slow down project kick-off:
- an overload of dozens or hundreds of CVs that reveal little about real capabilities,
- lack of reliable verification of soft skills and cultural fit,
- the risk of onboarding people whose practical experience hasn’t been properly validated.
Based on this, we define actual project needs, required technical and interpersonal skills, and the appropriate level of seniority. At j‑labs, seniority is not reduced to years of experience listed on a CV — although our engineers average 12 years in the field.
Why this approach? Someone may spend a decade working within a single system without developing new skills — or submit a perfectly tailored, AI-generated CV. That’s why we prioritize hands-on project experience gained in diverse, complex environments. Additionally, declared competencies are verified by our team of qualified, domain-focused technical recruiters. This approach rewards adaptability and readiness to work with new technologies.
During the Discovery phase, we also define the rules of collaboration and the scope of responsibility within the project — including the team’s level of autonomy and expectations regarding proposing technical solutions. Thanks to clearly defined expectations, we are able to build a team that truly fits both the project and the way your organization operates.
Scaling a Technology Team for a Global RevOps Platform

Take a look at an example of collaboration that reflects an effective partnership model, where j‑labs actively contributes to the development of both products and the client’s business processes.
Careful Team Selection — Experts Attract Experts
After Discovery, we move on to selecting candidates for the team — and at this stage, we rely on our proven approach as well. We start with our internal pool of vetted specialists. A Java recruiter speaks with Java developers, a frontend expert with frontend engineers. This peer-to-peer dialogue allows us to quickly identify gaps in real, hands-on competence.
Our recruiters continuously refine their technical assessment skills and stay up to date with the latest hiring practices through initiatives such as j-Tech League — a mentorship-driven training program led by experienced j‑labs practitioners.
When building your team, we filter out случай candidates and recommend only those who are truly capable of delivering in your project context. The scale of this filtering is reflected in the data:
- In 2025, we reviewed a large number of candidate profiles, but only a small percentage progressed to the technical verification stage.
- At each subsequent step, the selection becomes more precise — after technical interviews, only every second candidate moves forward to project discussions with the client.
In practice, this means that instead of reviewing a broad pool of “good-on-paper” CVs, you choose from a curated group of thoroughly validated specialists, ready to work in your specific project environment.
The result? In 2025, as many as 73% of candidates presented by j‑labs were accepted by clients.
This confirms that our recommendations are closely aligned not only with technical requirements, but also with business goals, ways of working, and organizational culture.
At j‑labs, team building is part of a comprehensive software delivery service, carried out jointly by delivery experts, recruiters, and technical leaders. The entire process is designed to maximize decision accuracy — deliberately moving away from a volume-based approach.
We assess not only technical skills, but also how developers work. This is critical when building effective teams. We don’t look for “individual contributors in isolation” — we build cohesive teams that deliver from the first sprint, thanks to precise alignment with the project’s needs.
Our teams are structured to complement each other’s competencies, and team members are selected not only for their ability to collaborate with the client, but also with one another.
We also use tools to evaluate adaptability and collaboration with business stakeholders. This allows us to assess how the team will perform in environments where initiative is expected — not just execution of backlog tasks.
Greenfield Microservices Architecture: Building a Team for a Logistics Platform

Read the case study to see how the high technical quality of the j‑labs team enabled a smooth start to a key greenfield project.
Delivery Manager — Your Operational Safeguard
Once the team is built, we also make sure its composition remains stable, while your project stays predictable and is delivered at the right quality, at the right time. The Delivery Manager’s primary responsibility is to ensure that the sprint scope agreed with the client — the deliverables — is completed on time and to the expected standard. Our Delivery Managers have both technical experience and domain knowledge.
See how our Delivery Managers describe their role:

At j‑labs, the Delivery Manager acts as an operational safeguard. They support the team, quickly identify issues, improve communication, and ensure continuity of work. This is especially important because, when working with people, it is necessary to account for the fact that their mindset, energy, and engagement may change over time. Pressure, overload, burnout, and mental health challenges can all occur.
The DM also acts as a bridge between the team and the client — ensuring clarity of requirements, decision-making pace, and fast response to risks. When a blocker appears, the DM helps find a solution before the issue affects the project. As a result, you always have a single point of contact just one call away — and you don’t learn about delays only during the sprint review.
The presence of a Delivery Manager helps teams work more consistently, reduces the need for lengthy onboarding, and keeps domain knowledge in the project for longer. This provides the predictability that is often missing in IT outsourcing today.
Want to see how it works in practice?
Book a free consultation using our contact form. It’s an opportunity for a thorough analysis of your project and a clear discussion of what you can realistically expect from working with j‑labs.
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