The success of a software project is measured by looking at three pillars: technical quality, user adoption, and project control. A project is successful when the software runs stably, users actively use it, and the result is delivered within the agreed time and budget. The questions below help you concretely assess each of these pillars after go-live.
Which KPIs say something about the quality of delivered software?
The most important KPIs for software quality are uptime, load time, error rate, and Mean Time To Recovery (MTTR). These four metrics together tell you how reliably and quickly the software performs under real usage conditions. A high uptime combined with a low MTTR points to a stable, well-maintainable codebase.
In addition to these technical indicators, it is wise to also look at maintainability. How quickly can developers add new features or fix bugs? A low code complexity score and good test coverage are signals that the software has been built to last.
- Uptime: aim for at least 99.5% availability for business-critical applications
- Load time: pages and functions that respond within two seconds provide a better user experience
- Error rate: the percentage of requests that result in an error, preferably below 1%
- MTTR: how quickly do you recover from an outage? Shorter recovery times indicate a mature deployment process
How do you measure whether users are actually adopting the software?
User adoption is measured by tracking active users, session duration, and task completion rates. If users use the software regularly and purposefully, adoption is successful. A high number of accounts that become inactive after two weeks is a clear signal that the software does not fit into daily work practice.
Concrete indicators for adoption are:
- Daily Active Users (DAU) versus Monthly Active Users (MAU): a ratio above 20% indicates regular use
- Feature adoption rate: what percentage of users makes use of the core functionalities?
- Churn rate: how many users drop off after the first month?
- Support tickets per user: many questions about basic features can indicate a UX problem
Qualitative feedback through short user surveys or interviews complements these numbers well. Numbers tell you what is happening; users tell you why.
What is an acceptable error margin after software goes live?
There is no universal standard, but in practice an error rate below 1% is considered acceptable for most business applications. For financial or medical software, the requirements are much stricter, sometimes below 0.1%. The acceptable margin depends on the impact of an error on the end user and the business processes.
It is normal for more errors to occur immediately after go-live than later. Users discover scenarios that did not come up during testing. What matters is how quickly the team responds and whether the error rate decreases over the first few weeks. A rising error trend after the first month is a reason for action.
Set up a Service Level Agreement (SLA) in advance with your development partner. In it, you establish which error rates are acceptable, within what timeframe bugs will be addressed, and how priorities are determined.
How do you know whether the software project stayed within budget and schedule?
You know whether a project stayed within budget and schedule by comparing the actual costs and lead time to the original estimate. Use the Cost Performance Index (CPI) and Schedule Performance Index (SPI) from the Earned Value Management methodology for this. A CPI above 1.0 means you spent less than planned for the work delivered.
During the evaluation, look not only at the end date and total amount, but also at the interim milestones:
- Were the sprints or milestones completed on time?
- How many scope expansions were made, and were these agreed upon in advance?
- What percentage of the budget was spent on unforeseen corrections?
A project that was completed on time and within budget but subsequently requires many bug fixes has actually turned out to be more expensive than the numbers suggest. Include the post-go-live correction costs in your overall evaluation.
When is the right moment to evaluate project success?
The right moment for a full success measurement is three months after go-live. Immediately after delivery, the data is still too limited to draw reliable conclusions. After three months, you have enough usage data, you have resolved the first bugs, and you can see whether adoption is stabilizing or declining.
A structured evaluation cycle looks as follows:
- Week 1 after go-live: check technical stability, resolve critical bugs
- Month 1: review initial adoption figures, gather user feedback
- Month 3: full KPI evaluation, comparison with the original objectives
- Month 6 and beyond: analyze long-term trends and plan further development
Record these moments in advance in your project plan, so that evaluation does not become an afterthought but a fixed part of the collaboration with your software development partner.
Which tools help with monitoring software after delivery?
The most commonly used tools for post-go-live monitoring are application monitoring tools such as Datadog, New Relic, or Sentry for error tracking and performance, and analytics tools such as Google Analytics or Mixpanel for user behavior. The right choice depends on the technical stack and the type of application.
A practical monitoring setup consists of at least three layers:
- Infrastructure monitoring: server load, uptime, and response times (e.g., AWS CloudWatch, Azure Monitor)
- Application monitoring: error logs, crashes, and performance per feature (e.g., Sentry, Datadog)
- User analytics: sessions, flows, and adoption (e.g., Mixpanel, Hotjar)
Set up alerts in each of these tools based on thresholds you have determined in advance. This way you respond proactively to issues instead of waiting for users to complain. Connect the monitoring data to a dashboard that both the technical team and the client can consult, so that everyone has the same information at the same time.
How 3Bird helps with measuring and safeguarding software success
At 3Bird, we believe that delivery is not the endpoint, but the beginning of the real test. Our approach is aimed at ensuring that after go-live you not only have a working application, but also the means to measure and improve its success.
- We set up a monitoring structure for every project that fits the technical stack, from AWS CloudWatch to Sentry
- Our Dutch fractional CTOs monitor quality and communicate in your own language about KPIs, error margins, and further development
- We work with flexible teams that you can scale up or down after go-live, depending on what the software needs
- Our custom software development combines Dutch quality standards with the cost efficiency of our international team, from €25 per hour
Want to know how we guide your software project from development to measurable success after delivery? Then contact us at contact@3bird.nl or call us at +(31)75-7993038. We are happy to think along with you.