Head of Marketing
In IT outsourcing, the business lives on the gap between hours sold and hours actually worked. That gap is the weak point: every unlogged hour of code review, every uncounted overtime hour during a release, every “small fix outside the scope” eats into the project's margin.
A time tracker for an IT company turns this invisible leak into a manageable metric.
Let's break down what it actually needs to do for development teams — and why off-the-shelf solutions often fall short here.
Where IT project margins disappear
The problem isn't that the team works too little. It's that part of the real work never makes it into the record — and therefore never makes it onto the client's invoice.
Typical sources of unpaid time:
| Source | Why it goes unrecorded |
|---|---|
| Overtime before a release | “We had to ship it, we'll count it later” |
| Code review and mentoring | Not tied to any specific project |
| Small fixes outside scope | “It's just 15 minutes, I won't bill for it” |
| Technical research | “You can't really quantify research” |
| DevOps and infrastructure | Spread thin across projects |
Each item looks minor on its own. Added up, they make up a significant share of the team's total time — and that's direct lost revenue.
Why a generic tracker doesn't work for development
This is the key nuance to understand before choosing a system.
Problem one: manual logging breaks flow
A developer in a state of deep focus is the company's most valuable resource. Having to “open the tracker, pick a project, describe the task, start the timer” means a cognitive interruption. Within a month, half the team is bypassing the system, and the data becomes unreliable.
Problem two: “activity” is a false metric for IT
A developer who spends 40 minutes reading documentation or thinking through an architecture barely touches the mouse. A primitive system will flag them as the least productive person on the team — even though that's the most valuable part of the work.
A time tracker for an IT company has to tell thinking time apart from actual idle time. If a system can't do that, it isn't built for development.
| Situation | Primitive system | Correct tracking |
|---|---|---|
| Reading docs for 40 min | “Low activity” | Productive time |
| Designing the architecture | “Idle” | Deep work |
| Debugging with minimal clicks | “Inactive” | Working on the task |
| Faking activity | “Active” | Flagged as an anomaly |
Alt: “Developer time tracking by project in Yaware”
Task manager integration: effortless tracking
The fix for manual logging is connecting the tracker to the system the team already works in. A developer opens a task in Jira, works as usual, and time is logged automatically and tied to that specific ticket.
What this means in practice:
- The developer takes no extra action at all
- Time is automatically split between projects and tasks
- An accurate billable-hours report is ready at the end of the sprint
- Daily status meetings become unnecessary — the data is already there
That last point deserves its own emphasis: developers usually hate status meetings more than they hate time tracking. A time tracker for an IT company that eliminates those meetings is a real selling point when you're talking to the team.
Testing it on your own team is easier than reading feature lists. 14 days free →
Overtime: tracking works in the team's favor
Releases bring crunch periods when the team works overtime. Without tracking, those hours either go unpaid or go unmonitored.
Ukrainian labor law is clear on this: overtime is capped at 120 hours per year per employee and must be paid at double the regular rate. Accurate tracking makes it possible both to fairly compensate overtime and to spot an approaching limit in time.
This changes how the team perceives the system: the tracker stops being “surveillance” and becomes a tool that logs their overtime and guarantees they get paid for it.
The objection: “developers won't tolerate being monitored”
This is the most common and most serious objection in IT. It's a fair one — but it's really about a bad rollout, not about tracking itself.
Why developers genuinely dislike monitoring:
- past experience with spyware-style tools and screenshots every minute
- metrics that punish thinking time
- manual logging that breaks their flow
- a general feeling of being distrusted
What resolves these objections:
| Fear | What's actually true |
|---|---|
| “I'm being watched” | Only time and app names are logged, not code content or messages |
| “I get punished for thinking” | Thinking time counts as work |
| “This means even more meetings” | The opposite — status meetings become unnecessary |
| “My overtime won't get paid” | Overtime is logged and subject to double pay |
| “I'll be judged unfairly” | Objective data protects against unfounded claims |
Practical tip: have an open conversation before rolling this out. Show the team exactly what the manager can see, and give everyone access to their own stats. For most teams, that's enough to remove the resistance.
What to look for when choosing a system for IT
The minimum set of requirements specific to development:
- Automatic tracking with no daily action required from the developer
- Task manager integration — Jira, Bitrix24, Asana
- Correct handling of thinking time — no penalty for low mouse activity
- Recognition of dev environments as productive tools
- Tracking by project and task for accurate billing
- Minimal load on developer machines
- Developer access to their own data
For a detailed breakdown of selection criteria, see the guide How to choose a time tracker.
Alt: “Linking work time to tasks in Yaware”
FAQ
Will the system slow down developers' machines?
Modern agents use under 1% of CPU resources — on the powerful machines developers work on, that's imperceptible. If a system noticeably slows the machine down, that's a sign of outdated technology, and it's not worth considering for an IT team.
How does the system tell work time apart from personal time on GitHub or Stack Overflow?
Through resource categorization and context. Repositories, official documentation, and technical resources accessed during working hours are classified as productive activity. Categories can be configured to match your specific stack.
Can the system be rolled out covertly to avoid resistance?
No — covert installation violates personal data protection law and permanently destroys the team's trust. A proper rollout is always transparent: a formal order, notification, consent, and employee access to their own data. For more, see Is it legal to monitor employees in Ukraine.
Does tracking work for teams that work remotely or across different time zones?
Yes — and for distributed teams it's arguably even more useful: it captures actual hours worked regardless of time or location, which lets you work asynchronously without losing control of project budgets.
Summary
A time tracker for an IT company is, above all, a financial tool: it recovers hours that used to slip past the invoice and makes the real cost of your projects visible.
The key requirements for development teams are automatic tracking that doesn't involve the developer, task manager integration, and a fair approach to thinking time.
