How Runn solves capacity planning’s biggest challenges

Capacity planning is about as close as a business can get to predicting the future. Get it right, and you know who's free when and whether you can say yes to that next project without derailing your plans. Get it wrong and, well, you know what happens next.

It's no surprise that capacity planning is one of the most cited priorities for teams in 2026, according to Runn's State of Resource Management report. But priority hasn't translated into confidence. Only 6% of teams say their forecasting is extremely effective, and almost half point to a lack of visibility into capacity and demand as a top challenge.

Most teams already know capacity planning matters. What they're missing is a system that makes it easy to act on. When plans are still built by hand in tools ill fit for purpose (we’re talking about spreadsheets), the data goes stale the second anything changes. Even when forecasting does happen, it’s unlikely to result in decisions anyone feels good about.

Runn is resource management and capacity planning software built to close exactly that gap.

The 4 biggest capacity planning challenges and how Runn solves them

1. No real-time visibility into who's actually available

A spreadsheet gives you a snapshot of capacity, not a live view. The second someone gets staffed on a new project or takes unexpected leave, that snapshot is out of date.

Outdated availability data directly impacts decision making. If you aren’t confident who is free and when, how can you plan with any degree of certainty? Instead, managers are forced to delay decisions or make the wrong call based on old information.

How Runn solves it

Runn shows availability, workload, and utilization at a glance, updating the instant a plan changes while factoring in time off and public holidays. When your view of capacity is current and based on accurate data, there's no toggling between three tabs just to answer "who's actually free right now?".

2. Forecasting that doesn't hold up

Forecasting has become standard practice now – 86% of organizations do it regularly or occasionally – but confidence hasn’t caught up. Part of the problem is that demand and capacity don't often live in the same place, which is likely why 42% struggle with misalignment between the two.

Forecasting shouldn't mean pulling pipeline data from one tool and people's schedules from another, then trying to line the two up manually, or predicting the future based on last quarter's actuals.

How Runn solves it

Forecasting in Runn looks up to a year ahead. Teams can build tentative projects to model deals that aren't confirmed yet, and use placeholders to reserve future demand, blocking out the hours and skills a project will need before a specific person is assigned to fill them. You can even group tentative projects together to build a scenario, allowing you to see the consequences of different choices before you commit resources.

A good capacity planning tool provides a shared source of truth that every forecast pulls from, so the impact of a potential new client or project on the wider team's capacity is visible before anyone commits to it.

3. No visibility into who has the right skills, not just the right hours

Availability tells you who's free, but that’s only half of the puzzle. You also need to know who’s right to assign to each project, but without visibility into skills data, you might wind up staffing the wrong person.

For example, Jane, a developer, might have the hours available, but if the project needs a high level of proficiency in React and she's never touched it, she’s not the right fit.

How Runn solves it

Skills planning in Runn goes beyond job titles. People and placeholders can be tagged by skill, tech stack, seniority, or custom fields you want to track. 

Filtering by "who's free" and "who has React experience" becomes one action. And because placeholders can carry skill tags too, you can plan for the skill a project needs before you even know who'll fill it.

For teams managing a lot of people across a lot of projects, SmartMatch AI takes this a step further, recommending the best-fit person for an assignment based on skills and availability, so the best people are surfaced faster.

4. Manual, spreadsheet-driven processes that can't keep up

Spreadsheets can be powerful tools, when used for the right purposes. However, they aren’t designed to manage something as human and flexible as capacity. Trying to do so is like pushing a square peg through a round hole.

Every time priorities shift, a spreadsheet-based plan has to be rebuilt. It's slow, and every manual update is a chance to get something wrong.

For example, a project manager might reassign three people to a new client, then need to manually update capacity across five other spreadsheets to reflect it. Miss one or get a date wrong, and the plan has already gone wonky.

How Runn solves it

One shared, live plan replaces the scattered spreadsheets, so a change one person makes is visible to everyone else immediately. Project templates also capture the phases, roles, and typical time allocation for repeatable work, so new engagements start from something proven instead of a blank grid.

Turn capacity into confidence

Capacity planning stops being guesswork the moment it's fed by real-time data instead of static spreadsheets. Whether your challenge is visibility, forecasting, skills, or manual process, the fix is a system that stays current.

Runn helps teams planning people on technical projects. Get real-time visibility into capacity and demand to forecast what's ahead and match the right people to the right projects.

Curious how Runn can help your team? Start a free trial to build your own view of what's coming.