Problems arise at each stage of the M&E data cycle
Research shows that even though everyone agrees that doing M&E is a good idea, in practice, problems arise at each stage of the M&E Data Cycle. The cycle can stop turning for any one of six common reasons…

The problem with M&E data identification…
Right from the planning stage of new projects, the identification of what performance data is required is conceptually difficult. More often than not, project planners delegate the detailed M&E planning to the implementation team, assuming that they will have more clarity on what performance data is relevant once they are on the ground. However, implementation team members tend to be technical people whose primary role is the delivery of project outputs. The definition of indicators and other performance data is not their core business. They frequently see M&E as an additional responsibility…an imposition!
The problem with M&E data capture…
Even if the critical step of identifying appropriate performance data can be taken, M&E plans are frequently unsuccessful because of staff non-compliance with reporting protocols. In situations where overstretched staff are faced with ambiguous reporting requirements or complex/difficult tools, data capture tends to become a low priority.
The problem with M&E data analysis…
A surprisingly common situation occurs where captured data is accumulated but is never analysed to draw out meaningful features and trends in the data. The main reason for this is reported to be the skill required for data analysis, and for critical reflection.

The problem with M&E information dissemination…
Analysing captured data is pointless unless the analysis is disseminated to people who can benefit from it. While this seems obvious, M&E systems frequently fail because the mechanisms for moving information around tend to be cumbersome. The paper-based reports required by many stakeholders often require the same information to be bundled up over and over in different formats on different schedules.
The problem with M&E information utilization…
Unless M&E information can be used for learning or accountability, the preceding steps in the M&E Data Cycle have wasted time and resources. But for information to be used by busy people it must be made available in a timely and relevant form. It must be clear how it can help them do their job better. The incentive for using the information must be clear.
The problem with M&E system assessment…
Research suggests that not only is M&E of a project rarely done well, but M&E of M&E systems is rarely attempted at all! This ‘meta-M&E’ is necessary if we are to ensure that our M&E activities are useful, but it is unlikely to occur unless our organizational culture values critical inquiry and reflection.