How can you tell if your software is delivering value?
After using new software for a while, a business will naturally want to know what its investment has achieved. The system has plenty of accounts and staff log in every day, but are customers getting help sooner? Has manual work decreased, or has it simply moved to a different screen?
To answer those questions, managers need to look at changes in the work the software was meant to support. You do not need a complicated report to start. First, identify the problem you wanted to solve and what improvement would look like.
Consider a hypothetical customer service team introducing a request portal to replace the manual collection of emails and messages. Its goals are to reduce missed requests and respond sooner. We will use this example throughout the article; it is not a Fenix project result.
1. Start with the change your business wants to see
For the request portal, login counts show that people use the system. They do not establish that the team is serving customers better. If staff repeatedly log in to correct information, a rising count could even reflect a problem.
Instead of reporting every available data point, return to the original goal. To assess faster responses, track how long customers wait for a first reply. To assess missed requests, agree on what counts as a missed request and how it will be identified.
Choose a small number of useful metrics for each goal and combine them with feedback from the people doing the work. The data shows what is changing; conversations with users help explain why.
| What you want to know | Possible metric | Context to check |
|---|---|---|
| Are customers getting a reply sooner? | Time to a first reply from a staff member | Request type, working hours and waiting time at each stage |
| Are fewer requests being missed? | Share of requests not handled within the agreed time | A consistent definition of a missed request and the same intake channels |
| Are staff re-entering less information? | Task time and cases requiring correction or re-entry | Additional checking and follow-up effort |
| Has work moved to the new system? | Share of in-scope requests recorded in the portal | Requests still in email or spreadsheets, and why |
For each metric, record the calculation and the data source. For instance, does “response time” end when a customer receives an automated acknowledgement, or when a staff member answers their question? Those measures are not interchangeable if the goal is to provide help sooner.
If it is not yet clear which part of the workflow the software should improve, revisit that workflow before adding more metrics.
2. Make before-and-after comparisons meaningful
You need a reference point to understand what has changed. Ideally, prepare before implementation by recording processing time, rework or backlogs using the same definitions you will use afterwards. Repeated measurements also help reveal a trend rather than a single isolated result.
If the system is already live and historical data is incomplete, you can still begin. State where a comparison is not supported, establish a baseline now and track subsequent changes. Avoid inventing an estimate of “before” simply to report an improvement percentage.
The comparison periods should also be reasonably similar. A quiet week is different from a campaign week, and a simple question is different from a complaint that needs several departments. Review request volume and type, staffing levels and any changes to shifts or procedures alongside the results.
Suppose response times fall after the portal launches, but the business also adds staff. That is encouraging, yet it does not establish that the software caused the entire improvement. Report both changes so readers can interpret the result fairly.
Early on, users may still be learning, and some work may run in parallel on the old system. Identify that transition period separately. Choose a review point that reflects the work cycle and how stable operations have become, rather than expecting every system to prove its value after the same number of days.
3. Does saving time mean reducing costs?
Reducing repeated data entry is a useful benefit. But include any new work, such as checking information, correcting data or supporting users, to understand whether total effort has fallen.
Here is a hypothetical calculation. A task falls from 10 minutes to 6 minutes, across 300 comparable instances in the period. That saves 1,200 minutes, or 20 hours, on the task itself. If related checking and support add 5 hours, the net time saving under these assumptions is 15 hours.
Those 15 hours do not automatically represent a reduction in payroll. Staff may use the time to clear a backlog, serve more customers or focus on work that needs their expertise. Explain how the freed capacity is used when reporting the benefit.
For a monetary assessment, agree on the scope and review period, then include the relevant development, subscription, infrastructure, training and maintenance costs within that scope. If a benefit cannot reliably be converted into money, report it separately in terms of time or work quality rather than assigning an unsupported cash value.
4. Use the results to decide what to do next
Measurement should help the business choose its next action. If the number of recorded requests rises but customers still wait too long, the portal may be capturing information well while assignment or approval remains slow.
Review specific cases and speak with the people handling them before concluding that the software needs replacing. If staff still maintain separate spreadsheets, find out what information or function they lack. If delays coincide with system errors or connection failures, work with the technical team to investigate. Reviewing business results alongside operational health makes that discussion more useful.
Each review should identify a priority issue, an owner and a point at which to check the result again. For example, the team could change how requests are assigned, track the same metric and see whether waiting times improve.
What does software maintenance include after launch?
A post-implementation review also prepares the business for future investment decisions. Knowing what has helped and what remains difficult makes discussions with a development partner more specific: should you adjust the process, support users or add a feature to address the problem?
If you are preparing to build or improve a system, clarify the goals and how you will assess them at the outset. That gives both sides a basis for reviewing results once the software is in use.
