Launching a digital project without defining its performance indicators Planning ahead is like sailing without a compass. Many companies measure success solely by whether a project is delivered on time and within budget. This is necessary, but not sufficient: a project delivered on time may still fail to meet its objectives if no one has defined what «success» actually means in practical terms. Here are the key indicators to put in place, depending on the nature of the project.
Define your KPIs before development, not after
The most common mistake is to try to measure results once the project is complete, using indicators chosen after the event. The KPIs (Key Performance Indicators) must be defined as early as the scoping phase, in direct relation to the business objectives that justify the investment.
Link each KPI to a specific business objective
A relevant indicator answers a simple question: what is this project intended to improve? Reducing order processing time, increasing a website’s conversion rate, reducing the number of support tickets: each objective calls for a a measurable and quantifiable indicator, with a baseline figure prior to the project and a target to be achieved.
Limit the number of indicators to ensure clarity
Monitoring twenty indicators at the same time dilutes attention. A best practice is to define three to five priority KPIs per project, supplemented by secondary monitoring indicators. The aim is to produce a dashboard that can be used by business teams, not just by technical teams.
Measuring the application’s technical performance
Beyond business metrics, a digital project rests on technical foundations whose performance determines the user experience. These technical metrics are often invisible to senior management, but they have a direct impact on business results.
Loading times and availability
Le loading time is one of the indicators most closely correlated with bounce rate and conversion. A loading time of more than three seconds results in a significant loss of visitors. Uptime measures the reliability of the service — 99.9 % corresponds to fewer than nine hours of downtime per year.
Error rates and application stability
Monitoring of the error rate (failed requests, crashes, unhandled exceptions) enable the rapid detection of regressions following an update or a spike in traffic. These metrics are central to the work of a DevOps consultant, which sets up monitoring and automatic alerting pipelines to maintain the stability of the application in production.
Assessing adoption and user experience
A tool that is not used produces no results, however technically advanced it may be. The rate of’adoption is one of the most telling indicators of a project’s true success, and is often underestimated during the development phase.
Activation and retention rates
Le activation rate measures the proportion of users who complete a key action after their first login. The retention rate measures how many return after a week or a month. These two metrics, which originate from product management, apply equally to internal applications and customer-facing products.
UX metrics: journey completion and friction points
The rate at which a form is completed, users dropping out at a specific stage of a conversion funnel, the time spent on a task: these UX metrics help to identify points of friction in the interface. A UX/UI consultant uses this data to prioritise improvements and assess the impact of changes made to the interface.
Monitor the project’s return on investment
Le KING The return on investment for a digital project is rarely calculated with any precision. Yet it is the ultimate indicator for justifying the investment and deciding on future developments.
Calculate direct operating profits
A project to automate or digitise a process generates measurable benefits: hours saved, fewer errors, and shorter lead times. These benefits, converted into an hourly cost, can be used to calculate the return on investment over a period of twelve or twenty-four months. A consultant data analyst can model these gains using the company’s actual data and generate automated monitoring dashboards.
Measuring the impact on business indicators
For customer-focused projects — websites, mobile apps, e-commerce — business metrics are the most telling: revenue generated, customer acquisition cost, lifetime value. These metrics are tracked using a Custom CRM which centralises customer data in a unified dashboard.
Iterate based on data, not impressions
A digital project does not end once it goes live. The metrics collected must feed into a cycle of continuous improvement, in which each change is prioritised on the basis of measured data rather than internal assumptions.
Introduce regular reviews of indicators
A monthly or quarterly review of KPIs, involving both business and technical teams, enables priorities to be adjusted, deviations to be detected at an early stage, and alignment to be maintained between the company’s objectives and the tool’s development.
Validate changes before rolling them out on a large scale
A MVP or a POC When properly implemented, this approach allows a feature to be tested within a limited scope, its actual impact on key metrics to be measured, and a decision to be made on an objective basis as to whether it is worth rolling out more widely — rather than relying on intuition or isolated user feedback.
Managing your digital project with iterates
iterates supports Brussels-based SMEs in defining their performance indicators, from the scoping phase right through to the roll-out of monitoring dashboards tailored to the objectives of each project. Whether it’s bespoke development, consultancy or team support, every project is part of an approach focused on measurable results.
