Metrics provide key information to help make rational (data-driven) decisions. Without metrics, decisions may be made based on intuition, beliefs, beliefs, opinions (of decision makers) or incomplete information. This increases the risk of making wrong decisions (which can negatively affect the project) and generates costs (which may not be recouped).

Metrics enable an unbiased analysis of the project status and an assessment of its real condition. Investing in a project without metrics is highly risky.

Metrics identify areas for improvement and measure the effects of changes.

Metrics make it possible to verify whether the set goals have been achieved. Lack of this data makes it difficult to evaluate the results of the work done. Without metrics, it is difficult to objectively assess whether a project is a success or failure.

Without metrics, it is difficult to assess whether a project is progressing as planned (it’ss difficult to track progress and identify delays in implementation). This can lead to inefficient management of time, resources, finances and an inability to anticipate problems (which may require intervention).

The lack of metrics makes it difficult to assess which resources are being used effectively and which are being wasted. This can lead to over- or under-allocation of resources (which in turn increases costs and reduces work efficiency).

Metrics can point to specific problems that need to be addressed. Without metrics, it is difficult to identify the sources of problems or solve them effectively (which can lead to repetition of the same errors and a decline in product/service quality).

Metrics provide the input when creating a project progress and outcome report. Without this data, reporting becomes less accurate and less valuable.

As a project scales, metrics are essential for performance management. A lack of metrics makes scaling difficult and can lead to performance, quality and user experience issues.

Metrics help in understanding users’ needs and their satisfaction with the product. Lack of such data can lead to ignoring users’ needs (which can consequently reduce user satisfaction and loyalty).

Publicly available metrics (e.g., ratings, reviews, number of app downloads from stores) can have a direct impact on acquiring new users (snowball effect, social proof).