Did you know? The average number of applications a desk worker, also referred to as a "knowledge worker," uses is 11, compared to six applications in 2019.
(Source: Gartner Survey, 2023)
Whether you have set up an ERP, HRIS, CRM, e-procurement platform, or digital workplace, user support plays a vital role in effective implementation. But how do you know if your user support is really working?
Measuring support effectiveness requires the right methodology, the right indicators, and the right tools. Here is everything you need to know.
Before evaluating your user support, you need a clear approach to measurement. The five steps below provide a practical framework to guide your assessment from start to finish.
Start by identifying the key performance indicators (KPIs) that matter most to your organization. With so much data available, the goal is to focus on the metrics that are genuinely relevant, not to measure everything at once.
When choosing your KPIs, consider the types of applications you support, the maturity of your current support setup, and the resources you have available. Aligning your indicators with your specific context ensures they are both meaningful and actionable.
Once you know what to measure, assess whether your current tools can actually capture that data. If they cannot, this is a good moment to optimize or replace them.
Be pragmatic: avoid investing in sophisticated reporting infrastructure if your team lacks the resources or expertise to use it effectively. Choose tools that match your organization's current capabilities and goals.
Have you selected your KPI indicators and configured your tools? Then it is time to collect the data you need. Treat this data as a genuine asset: the insights it provides are what will drive real improvements to your user support.
Once you have gathered your data, dig into what it is telling you. Use the following questions to structure your analysis:
Answering these questions gives you a clear picture of where your support stands and where to focus next.
Measuring support effectiveness is not a one-time exercise. Establish a regular review schedule so you can track progress over time and continuously improve. The goal is straightforward: build a user support function that keeps getting more efficient and delivers a better experience with every iteration.
For a deeper look at how this fits into broader IT performance measurement, see our guide on measuring IT strategy performance.
Selecting the right indicators is essential for an accurate assessment. While quantitative metrics provide hard numbers, qualitative feedback from users is equally valuable. A balanced combination of both gives you the most complete picture.
These metrics provide measurable, trackable data on how your support function is performing:
These indicators reveal the deeper impact of your support on the user experience:
Adapt this list to your specific challenges, applications, and available resources. With a solid measurement approach in place, you are ready to take the next step toward sustainable optimization using embedded application support. You can also explore IT support levels explained to better understand where different types of user support fit within your overall support structure.
Combine quantitative signals (number of support requests, average resolution time, self-service deflection rate) with qualitative feedback such as user satisfaction surveys and observed proficiency levels. Regularly reviewing both types of data gives you a complete picture of whether your documentation is actually helping users solve problems.
How do you measure whether your how-to guides are actually helping users solve problems?+Track whether support ticket volume decreases after publishing or updating a guide, collect direct user feedback on guide usefulness, and monitor time-to-resolution for related issues. A drop in repeat requests on the same topic is a strong signal that a guide is working.
Sarah oversees all things inbound marketing, exploring the many business uses and topics surrounding digital adoption. Her previous experiences include B2C and product marketing in the social listening space, uncovering emerging industry trends.