Growing Your MSP: An Actionable Guide You Can Use to Scale Your Business

When forming a new company, every business owner envisions that company growing, becoming successful, and sticking around for years to come. But having a vision and seeing it come to life are two different stories.

There are so many variables that go into growing a business and there’s no foolproof, 100% guaranteed formula for success. However, there are best practices to follow that at least ensure you’re walking down the right path.

And that’s where this book comes in. The original founders of BrightGauge had experience growing and scaling their own MSP. As BrightGauge has continued to grow over the years, we’ve taken what was learned at the MSP, refined it, and applied it, leading to business decisions that have resulted in positive outcomes over and over again.

There are few things we love more than seeing our peers flourish, so we’re happy to share our learnings with you.

Our hope is that you keep this book handy and turn to it anytime you need a little guidance, advice, or even a real-world example or two.

For even more resources, please visit www.brightgauge.com/resources.

Cheers to your success!

Pain points we all feel

Owning or managing an MSP is no easy task. Most of us got into this industry because we have a passion for technology and for helping our clients get more out of their day-to-day, but that all comes with some growing pains.

There are the common challenges faced by all business owners: raising capital to hit the ground running, finding and retaining good employees, managing overhead costs and cash flow, deciding on the right way to market their product or service, and keeping everything running productively.

Then there are challenges specific to MSPs: achieving operational efficiency, providing the very latest in data security measures, and keeping you and your clients up to date with new technologies (hello, the cloud).

Every business uses a different approach when combating these obstacles to growth, but the common underlying theme is that data plays a major role.

Knowing the right data to track, how to access that data, and how to measure your metrics properly can mean the difference between growing or remaining stagnant.

How this handbook aims to help

In the chapters that follow, we’ll dive deep into the importance of data and key performance indicators (KPIs), and how you can ensure that you’re choosing KPIs that matter to your specific business.

We’ll also give you a foolproof way to organize your contracts by providing an editable MSA template you can follow every time you sign on a new customer. Using a standard template is both a time-saver and a practice in efficiency.

Next up, we’ll talk about why it’s important to be transparent with your clients, and how a client relationship built on trust can lead to years of quality, repeat business. How can you go about building these trusting relationships? We’ll tell you what’s worked for us.

Finally, we’ll take a look at internal teams and processes. Building a solid, loyal workforce takes time and effort, but the benefits of having good processes in place can be felt in all corners of your business. We’ll share our favorite ways to keep employees motivated and accountable, so you can focus your time on what matters.

Feel free to jump to the section that interests you the most. While everything we cover will be valuable to you, it does not necessarily need to be read in chronological order, so our hope is that you’ll get into the habit of referencing what you need, when you need it.

Let’s get started.

Putting Data & KPIs First

What’s the deal with data?

A question we often hear from MSPs is, “What metrics should I be tracking on a regular basis?”

There is no simple answer. Knowing what data to use really depends on what your clients want to see, what is most important to your bottom line, and what type of data is going to move the needle for your business.

There are a multitude of KPIs that can influence and drive the various teams in your business operations. Nailing down the metrics and KPIs that are most important to you is just the first step towards running a data-driven business.

But why is it important to be data-driven anyway?

As a business owner, you are responsible for making both short term decisions and developing long-term growth strategies. Seeing the who, what, when, and where of your daily operations can help you answer the all important “why” you are managing your business the way you are, and can help your clients make better decisions as well.

Savvy companies are using data to increase productivity. A recent study conducted by MIT, using information curated from more than 150 large companies, suggests that data-driven decisions account for an impactful increase in overall productivity. The study concludes that collecting and analyzing data and implementing those findings is key to long-term competitiveness and growth.

Using your data in real-time allows you to create a historic narrative and identify trends, and helps you make time-sensitive and effective decisions based upon what’s happening right now.

For example, real-time information about response times, help desk requests, tickets closed per day, billable time, and tickets by clients helps you manage your staff and resources to provide the best possible solutions.

It’s been said that “what’s measured is what gets done”, so companies who use data to make both operational and performance decisions have an advantage when it comes to growth. When your team clearly identifies a problem, based upon operational or performance metrics, and then develops and implements a solution, the outcome is bound to be more effective.

Without a comprehensive plan or process for tracking and analyzing your data, you are essentially flying blind.

How to get a data process in place

It starts with knowing where to look for your data. A word of caution: data is everywhere. It’s easy to fall prey to analysis paralysis. When it comes to data, more is not always better, so be careful not to compile data just for data’s sake.

The key to creating a good data analysis process is to identify both your most relevant metrics and the questions you need answered in order to ensure your success.

But first, take a look at all your datasources and information streams. You should be able to identify patterns that help you create a general framework about your business model. Take note of information, numbers, or statistics that repeatedly come up in the tools you’re using. Then, collaborate with key team members about what these observations mean for your business growth and development.

If you’re having trouble identifying the right datasources and business tools, worker efficiency and customer satisfaction can be good starting points. Every business’s data mining plan also includes financial analysis and productivity trends, including cash flow and profitability. Ultimately, you’ll also need to focus on internal performance measures, which speak to your internal procedures as well as operational data.

Exploring the context and implications of your data will help you navigate your data stream with more focus and discipline, which will motivate you to stick with an ongoing data process.

As an example, let’s say you are using a PSA tool to see your service desk’s ticket statistics and you become concerned about a high number of untouched tickets, or a less-than-desirable average response time. Seeing this data can indicate that it may be time to look at your systems in place and resources leveraged to assess whether a more effective framework for decision-making is needed.

This type of data vigilance, so to speak, can also point you in the right direction of the questions to ask about your business. As part of your bottom line, it may be really important that your business is recognized for its superior customer support. Using the example above, your metrics may show you that you should be asking, “Do my numbers reflect an up-to-par support team? Should our support processes be revisited?”.

Since data is neutral, a data analysis process gets everyone on your team speaking the same language. By creating a corporate culture based on metrics, benchmarks, and analysis, your decisions will continuously be backed by the numbers versus being driven by emotions.

Identifying metrics that matter

First thing’s first: identify the areas of the business that are most important to you. If, for example, you do not have a robust sales department, don’t spend a whole lot of time collecting sales data that ultimately will not be used.

Once you know the business areas that matter to you, determine which metrics paint the best, most clear picture, and start setting those KPIs.

We’ve developed the IDEAS framework to help make sense of the KPI process.

ideas