Capacity Planning Software: Find Your Team's Real Capacity in 5 Steps

A team of ten rarely has ten people's worth of capacity. After leave, meetings, admin and the hours lost to switching between tasks, the true figure is often closer to seven. Capacity planning software exists to find that real number, so promises to customers match what the team can deliver. Here is how to use it well.

Measure real capacity, not headcount

Start from available hours, subtract planned leave and holidays, then subtract the time that actually goes to meetings and internal work. What remains is the capacity for project work.

Measure demand in the same unit

List committed work in hours per week by team. When demand and capacity share a unit, gaps become obvious.

Plan for the gap before it arrives

A forecast showing a shortfall six weeks out gives you options: rebalance, delay, hire or contract. A shortfall discovered in week one gives you only overtime.

Look at utilisation as a range

Teams over 85 percent utilisation tend to burn out and miss quality. Teams under 55 percent have room to absorb work. Aim for a healthy middle.

Review monthly

Capacity shifts with hiring, leave and project mix. A monthly review keeps the plan honest.

  • Capacity equals available hours minus leave and overhead
  • Demand in hours per week
  • Forecast gaps six weeks ahead
  • Keep utilisation in a healthy range
  • Review monthly

Tooling

We360.ai capacity planning uses real activity and utilisation data to show true capacity by team and forecast gaps against planned work. It is used by 120K+ users across 10K+ companies in 21+ countries and rated 4.7 on G2.

Read next

Start your free trial and see your real team capacity →

Comments

Post a Comment

Popular posts from this blog

Best Employee Monitoring Application: 7 Questions to Ask Before You Install Anything

Picking an employee monitoring application usually starts with a feature comparison and ends with regret. The feature list looks the same everywhere: screenshots, app usage, attendance. What differs is how the tool behaves once people know it is running. Use these seven questions to separate the useful ones from the noisy ones. 1. What decision will this data change? If the answer is "we will just have visibility," stop. Good monitoring ties to a decision: rebalancing workload, spotting burnout early, or verifying that a client's billable hours are real. A best-fit employee monitoring application is built around those decisions, not around watching individuals. 2. Can employees see their own data? Transparency is the single biggest predictor of whether a rollout goes smoothly. When people can open a dashboard and see what you see, the tool feels like a mirror instead of a camera. 3. Does it work across your device mix? Many teams run Windows, Mac and the occasional...
Read more

Employee Productivity Monitoring Tools: The 30-Day Scorecard Every Buyer Needs

Every vendor demo of employee productivity monitoring tools looks impressive for the same reason: the data is clean, the team is fictional and nobody is stressed. Your team is real. So instead of judging tools by their demos, judge them by a 30-day scorecard run on your own people. Here is the exact one. Week 1: Set the baseline Pick one team of five to eight people. Install the tool with their knowledge and consent, and write down three things their manager believes today: who is overloaded, who has spare capacity, and where time disappears. These are your predictions. The tool's job is to confirm or correct them. Week 2: Check the signal Review the first full week of data. Ask: did the tool identify the same overloaded person? Did it surface something the manager missed? A useful tool surprises you at least once. A tool that only tells you what you already knew is not worth the license. Week 3: Stress-test the edge cases How does it treat someone on leave? Does a long rea...
Read more

Employee Productivity Software: 5 Myths That Waste Your Budget

Most companies buy employee productivity software the way people buy gym memberships: with great intentions and no plan for Tuesday. Six months later the dashboards are gathering dust and nobody can say what changed. The software was rarely the problem. The beliefs behind the purchase were. Here are five myths worth dropping before you spend a rupee or a dollar. Myth 1: More data means better decisions Forty charts do not beat three good ones. The teams that get value pick a few numbers, such as active hours, focus time and workload spread, and review them weekly. Everything else is noise until a real question demands it. Myth 2: Productivity software is a surveillance tool It becomes one when it is hidden. Used openly, with employees seeing their own dashboards, it works more like a fitness tracker: personal feedback first, team summary second. The productivity tracking features in We360.ai are built around that open model. Myth 3: Busy equals productive An overloaded person lo...
Read more