Agile software development and scrum teams are indispensable in the business world today. The self-managing teams work in sprints to efficiently develop the desired software functionality.

Due to poor visibility on the productivity of the teams and the variable percentage of re-work after the sprints, it is unclear whether the desired functionality can be delivered on time and against the intended budget. Metri sees that in many cases agile teams cannot deliver the Minimum Viable Product (MVP) within the set budget and/or lead time. Extra sprints often have to be performed, which often leads to higher costs and issues with the business or users who receive the functionality later than planned. The quality often suffers, resulting in sky-high maintenance costs.

An important question is whether enough people are used to deliver the desired functionality on time. To answer this, Metri has developed the Agile Team Estimation service.

43 mld

euro is wasted annually within the UK on failed Agile IT projects.


more productive are the best-performing agile teams compared to the worst-performing teams in the Dutch market.


of the organizations act at a maturity level of 1 or 2 (out of 5) when it comes to Estimation & Performance Measurement processes.


of the Dutch companies don’t measure the productivity of its agile teams in a standardized way.


productivity improvement is easy to achieve after you start measuring. Metri sometimes sees a 50% improvement in productivity within six months.

Agile Team Estimation solution

Agile Team Estimation provides an accurate picture of the number of FTEs and the budget needed to develop the desired functionality within the given time. To determine the required team size, the functional scope of the software functionality is measured according to international standards.

In addition, the Metri database is used, where the data from more than 10,000 projects and applications are stored. Based on the specific customer situation, this data is filtered to create a representative reference group for determining the expected productivity. Furthermore, state-of-the-art tooling is used to process Agile characteristics, such as the percentage of re-work after a sprint, in the budget.

Three scenarios are worked out: a minimum, likely and maximum scenario. By continuing to monitor the project, it is possible to intervene early in time in the event of deviating productivity compared to the budget.

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