5 Capacity Planning Tips Using Time Data

Keito Team
10 January 2026 · 3 min read

Your time tracking data is a goldmine for resource planning. Here are five practical ways to use it for better capacity decisions.

Time Tracking

5 Capacity Planning Tips Using Time Data

TL;DR — Stop guessing at capacity. Your existing time tracking data can reveal true utilisation rates, predict project timelines, spot bottlenecks, account for seasonal patterns, and set realistic targets.

If you’re already tracking time, you’re sitting on a wealth of data that can transform how you plan projects and allocate resources. Here are five ways to put that data to work.

1. Calculate True Utilisation Rates

Don’t just look at billable hours. Compare total available hours against billable, internal, and admin time to get a realistic picture of team capacity.

The formula is simple:

Utilisation Rate = (Billable Hours / Available Hours) x 100

Available Hours = Working Days x Hours Per Day - PTO - Public Holidays

Benchmark — Most professional services firms target 65-75% utilisation. Below 60% suggests underutilisation; above 80% risks burnout.

In Keito, you can pull this from the Reports > Team Utilisation dashboard, which breaks it down by person, project, and time period.

2. Spot Bottlenecks Early

When one team member consistently logs overtime while others have spare capacity, it’s a sign that work distribution needs adjusting.

Warning signs to watch for:

SignalWhat It MeansAction
One person at 95%+ utilisationOverloaded, risk of burnoutRedistribute work immediately
Team average below 50%Underutilisation or poor trackingInvestigate root cause
Consistent overtime on one projectScope creep or understaffingReview project resourcing
High admin-to-billable ratioProcess inefficiencyStreamline internal workflows

3. Forecast Project Timelines

Use historical time data from similar past projects to build more accurate estimates for new engagements.

Instead of guessing, query your data:

Average hours for "Website Redesign" projects:
  - Discovery:  32 hours (range: 24-45)
  - Design:     64 hours (range: 48-80)
  - Development: 128 hours (range: 96-180)
  - QA & Launch: 24 hours (range: 16-32)

Total average: 248 hours
Recommended buffer: +20% = 298 hours

This data-driven approach wins client trust and protects your margins.

4. Plan for Seasonal Patterns

Most professional services firms have busy and quiet periods. Time data helps you anticipate and staff accordingly.

Export 12-24 months of data from Keito and look for patterns:

  • Q1 — Often slow as clients finalise budgets
  • Q2-Q3 — Peak delivery period for most firms
  • Q4 — Rush to close projects before year-end, followed by holiday slowdown

Use these patterns to plan hiring, contractor engagements, and PTO policies.

5. Set Realistic Targets

Armed with real data, you can set utilisation targets that are ambitious but achievable, rather than arbitrary.

Pro tip — Set targets at the team level, not the individual level. Individual targets create anxiety and incentivise gaming the system. Team targets encourage collaboration and honest tracking.

Start with your current baseline, then improve incrementally:

  1. Pull your team’s average utilisation for the last 6 months
  2. Set a target 5-10 percentage points above that baseline
  3. Review monthly and adjust
  4. Celebrate improvements — they compound over time

Getting Started

If you’re using Keito, all of this data is already in your account. Head to Reports to start exploring, or export to a spreadsheet for deeper analysis. The insights are already there — you just need to look.

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