IT services companies operate on billable hours. Whether you're a consulting firm, managed services provider, software development shop, or IT staffing company, your revenue depends on accurately tracking how your team spends time on client work.

But time tracking in IT services has specific challenges that generic advice doesn't address. Developers context-switch between multiple projects. Support engineers handle unpredictable ticket volumes. Consultants split time between billable client work and internal knowledge-building. And most IT teams are at least partially remote, adding another layer of complexity.

This guide covers time tracking practices tailored to how IT services companies actually work. If you're looking for a tool purpose-built for this use case, see our IT support teams solution overview.

Why time tracking matters more in IT services

Billing accuracy drives revenue

Most IT services revenue comes from one of three models:

Time and materials (T&M) — You bill clients for actual hours worked. Every unbilled hour is lost revenue. Every inaccurate entry is a potential billing dispute.
Fixed price — You quote a project price upfront. Time tracking tells you whether the project was profitable. Without it, you're guessing.
Managed services / retainer — Clients pay a monthly fee for ongoing support. Time tracking reveals whether the retainer covers the actual effort or whether you're undercharging.

Regardless of model, you need time data. For T&M, it's your invoice. For fixed price, it's your profitability analysis. For retainers, it's your pricing validation.

Project estimation depends on historical data

IT project estimates are notoriously inaccurate. The primary reason is that most teams estimate from intuition rather than data. When you have historical time tracking data from completed projects, you can base estimates on reality:

How long did the last three API integrations actually take?
What's the typical ratio of development to QA hours?
How much time does client communication add to a project?

Each completed project with tracked time improves your estimates for the next one.

Resource utilization determines profitability

In IT services, your primary cost is people. Profitability depends on how much of their time is billable versus non-billable. Time tracking gives you utilization data by person, team, and role — so you can see where capacity is wasted and where people are overextended.

IT-specific time tracking challenges

Developers resist time tracking

This is the most common obstacle. Developers see time tracking as overhead that interrupts their flow. They'd rather write code than log hours.

The resistance usually stems from one of three issues:

The tool is too cumbersome — If logging time requires navigating through multiple screens or filling out detailed forms, developers will avoid it. The process needs to be fast — select a task, start a timer, work, stop the timer.
The granularity is wrong — Asking developers to log time in six-minute increments against 50 micro-tasks is unreasonable. Group work into meaningful categories (development, code review, debugging, meetings) rather than forcing task-level granularity that doesn't match how they work.
They don't see the value — When time data disappears into a black box and only managers benefit, developers have no incentive to track accurately. Show them how the data is used — project estimates, workload balancing, client billing — and give them access to their own data.

Context switching between projects

IT professionals frequently work on multiple client projects in a single day. A developer might spend the morning on one client's feature, handle a support ticket for another client after lunch, then join a planning call for a third project.

Without a simple way to switch between projects when logging time, hours get misallocated or lost entirely. Your time tracking system needs to make switching contexts as easy as selecting a different project from a list.

Separating billable from non-billable work

IT services teams spend significant time on activities that aren't directly billable but are essential:

Internal code reviews and knowledge sharing
Infrastructure maintenance and tooling
Learning new technologies relevant to client work
Sprint planning, retrospectives, and standups
Responding to internal IT requests

Track this time in non-billable categories rather than leaving it unlogged. Understanding your non-billable ratio is essential for setting rates that cover your full cost of operations.

Distributed and remote teams

Most IT services companies have team members across multiple time zones. Time tracking needs to work seamlessly for everyone regardless of location, device, or operating system. A tool that only works on Windows doesn't help your team member on a Mac or Linux machine.

Best practices for IT services time tracking

Track at the right level of detail

Too little detail and you can't generate meaningful invoices or analyze where time goes. Too much detail and the overhead kills adoption.

The right level for most IT services companies:

Project level — Always. Every hour should be associated with a client project or an internal category.
Task category level — Usually. Categories like development, testing, deployment, meetings, and documentation provide useful granularity without being burdensome.
Individual task level — Sometimes. For T&M engagements where clients want itemized invoices, or for projects where you need detailed task-level cost analysis.

Let your billing model and client expectations guide the level of detail. A client who receives monthly invoices with project-level summaries doesn't need you to track every Jira ticket separately.

Make daily logging the standard

The single biggest factor in time tracking accuracy is how soon after the work happens that time is logged. Daily logging is dramatically more accurate than weekly.

Set the expectation that time is logged by end of day. Some teams build it into their routine — log time before the daily standup, or as the last task before signing off. The habit matters more than the specific timing.

Use timers for active tracking

Manual time entry at the end of the day is better than nothing, but timers that run while employees work produce more accurate data. Employees start a timer when they begin a task and stop it when they switch to something else. This captures actual time rather than estimates.

For developers, a timer-based approach also makes context switching visible — they can see how often they're interrupted and how fragmented their day is.

Review timesheets before billing

Every timesheet should be reviewed before the data reaches a client invoice. A timesheet approval process catches:

Time logged to the wrong project
Duplicate entries from timer errors
Missing hours (employee forgot to track part of their day)
Unreasonable entries (8 hours logged to a task that should take 1)

The project manager or team lead reviewing timesheets should be familiar enough with the work to spot anomalies.

Compare estimates to actuals on every project

After each project (or at regular intervals for ongoing engagements), compare estimated hours against actual tracked hours:

By phase — Was discovery on target? Did development take longer? Was QA underestimated?
By role — Did senior developers use fewer hours than estimated? Did junior developers use more?
By task type — Which types of work consistently exceed estimates?

This comparison is the feedback loop that makes future estimates more accurate. Without it, you'll keep making the same estimation mistakes.

Monitor utilization, but don't obsess over it

Track billable utilization by role and team. Reasonable targets for IT services:

Senior developers / architects — 60–70% (more time on mentoring, architecture, and presales)
Mid-level developers — 70–80%
Junior developers — 75–85% (less non-billable overhead)
Project managers — 50–65% (significant time on internal coordination)
Support engineers — Depends on the support model and SLA structure

Utilization below these ranges may indicate idle capacity. Consistently above them signals burnout risk. Neither extreme is sustainable.

Using time data to improve your business

Price engagements accurately

Historical time data tells you what work actually costs to deliver. If your last five projects of a similar type averaged 300 hours and your loaded cost per hour is $75, your cost is $22,500. Price accordingly — don't guess.

For fixed-price work, this data is the difference between quoting profitably and losing money. For T&M, it helps you set competitive rates that still cover your non-billable overhead.

Identify unprofitable clients or projects

Some clients consume more time than they're worth — extensive change requests, long approval cycles, or support demands that exceed what the retainer covers. Time tracking reveals these patterns so you can renegotiate terms or adjust your engagement model.

Staff projects based on data

When you have time data across past projects, you can staff new ones more intelligently. If similar projects typically need 60% development, 20% QA, and 20% PM hours, you can allocate your team accordingly rather than guessing at the mix.

Forecast capacity

Aggregate utilization data tells you whether your current team can absorb new projects or whether you need to hire. If your developers are averaging 85% utilization with a growing backlog, you have data to support a hiring decision — not just a feeling that the team is stretched thin.

Time Tracking for IT Services — Billing and Projects